Sökresultat för "Predictive analytics"

Company description: Ericsson AB Job description: Join our Team About this opportunity: We are looking for a Data Scientist to join our Data Management team within BNEW RCE LO Hardware Management. In this role, you will build AI and Analytics solutions end-to-end – from data collection and preparation to deployment – in close collaboration with teams across BNEW and other parts of Ericsson.   As a Data Scientist, you will develop methods, processes, and systems that turn data into actionable insights to enable business value creation. You will be part of the team driving our overall data strategy and will work across several teams to solve business problems through building data pipelines, identifying trends and patterns, and applying predictive analytics and advanced AI.   What you will do: Execute and evolve our AI and analytics strategy within Hardware Management Design and implement data pipelines from source systems to analytical and AI solutions Develop and deploy machine learning, LLM-based and advanced analytics models (including RAG and agentic AI frameworks) to solve complex business challenges Build and maintain APIs and services to operationalize AI and analytics solutions Work closely with stakeholders to understand business problems, define data requirements, and propose appropriate analytical approaches Translate data insights into clear recommendations and drive adoption together with business stakeholders Contribute to continuously improving our data strategy, data governance and ways of working Collaborate in a global environment, interfacing with different areas in Ericsson and sharing best practices   The skills you bring: A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines Proven academic training in statistics Deep/broad knowledge in machine learning, statistics, optimization, or related fields Strong analytical and conceptual problem-solving skills, including the ability to structure and resolve ambiguous problem statements Ability to understand underlying business problems and translate them into data requirements and suitable analytical approaches Ability to orchestrate and propose different technologies (AI, automation, integration and data solutions) to solve complex business challenges Solid Python knowledge for data science (data processing, modeling, visualization, and deployment) Experience working as a data scientist Experience with LLMs, RAG architectures and agentic AI frameworks Experience in building and integrating APIs Good understanding of Ericsson, its business areas and how data and AI can create value in a network/hardware context is a plus. Strong collaboration skills and team spirit, with a proactive, curious and positive learning mindset   If you recognize yourself in this profile and want to work with cutting-edge AI and analytics in a global technology leader, we look forward to your application.

Kyowa Kirin is a fast-growing global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four disease areas: bone and mineral; intractable hematologic; hematology oncology; and rare disease.  A Japan-based company, our goal is to translate science into smiles by delivering therapies where no adequate treatments currently exist, working from drug discovery to product development and commercialization. In North America, we are headquartered in Princeton, NJ, with offices in California, North Carolina, and Mississauga, Ontario. Summary: The Associate Director, Clinical Quality Management serves as the central Risk-Based Quality Management (RBQM) Lead for Clinical Operations, responsible for enterprise-wide, proactive risk management across clinical trials. This role owns the end-to-end RBQM framework, including risk identification, assessment, mitigation, centralized monitoring, lessons learned, and maintenance of a clinical risk library, ensuring risks are managed consistently and intelligently across studies, programs, vendors, and regions. The role partners cross-functionally to embed risk-based decision-making into study design, execution, oversight, and continuous improvement, in alignment with ICH E6 (R3), GCP, and global regulatory expectations. Essential Functions: Risk-Based Quality Management (RBQM) Leadership •    Lead the design, implementation, and continuous evolution of a holistic RBQM framework across Clinical Operations, aligned with ICH E6 (R3) and regulatory guidance. •    Serve as the central RBQM authority ensuring consistent risk management approaches across trials, programs, regions, and vendors. •    Integrate RBQM principles into study planning, execution, oversight, and close-out activities. •    Provide expert oversight and guidance to study teams on study-level RBQM plans, ensuring alignment with enterprise risk strategy. Central Risk Identification, Monitoring & Mitigation •    Lead proactive, cross-study and cross-functional risk assessments to identify systemic, emerging, and study-specific risks. •    Define, standardize, and maintain Key Risk Indicators (KRIs) and Quality Tolerance Limits (QTLs) across trials. •    Oversee centralized risk monitoring and trending to enable early detection of critical risks. •    Partner with study teams to develop and oversee risk mitigation, contingency, and escalation plans, ensuring inspection Lessons  Learned & Risk Library Management (Core Ownership) •    Establish and maintain a centralized Clinical Risk Library, capturing: o    Known and emerging risks o    Root causes o    Mitigation strategies o    Effectiveness of controls •    Lead lessons learned activities across trials, audits, inspections, and CAPAs. •    Ensure lessons learned are: o    Systematically captured o    Analyzed for trends o    Fed back into RBQM planning, SOPs, training, and future studies •    Drive organizational learning by translating lessons learned into preventive, forward-looking risk controls.readiness. Quality Oversight & Regulatory Compliance •    Ensure clinical trial conduct complies with GCP, regulatory requirements, and company SOPs. •    Provide centralized quality oversight across trials, CROs, and vendors. •    Support audit and inspection readiness activities, including: o    Risk-based inspection preparation o    Impact assessments o    CAPA development and effectiveness checks Vendor & CRO Risk Oversight •    Design and implement risk-based oversight strategies for CROs and external vendors. •    Monitor vendor performance using quality metrics and risk indicators. •    Lead or support quality governance discussions with external partners. •    Ensure vendor-related risks are integrated into the central risk library and lessons learned framework. Data-Driven Quality & Continuous Improvement •    Leverage data analytics and centralized monitoring tools to enable real-time risk detection and decision-making. •    Generate enterprise-level risk trend reports and insights for senior leadership. •    Continuously refine RBQM methodologies based on data, inspection outcomes, and lessons learned. •    Champion a culture of proactive quality and continuous improvement across Clinical Operations. Cross-Functional Collaboration & RBQM Expertise •    Act as the RBQM Subject Matter Expert (SME) for Clinical Operations and Clinical Quality Compliance. •    Provide RBQM training and coaching to study teams and cross-functional stakeholders. •    Collaborate closely with Regulatory, Biostatistics, Data Science, QA, and Vendor Management teams to align risk strategies and metrics. •    Participate as an observing member on assigned study teams to provide real-time quality and risk support. SOP Management & Governance Support •    Partner with Document Control and SOP Administration teams to ensure RBQM and lessons learned are reflected in SOPs, WIs, and templates. •    Support governance activities, senior management reporting, and quality metrics standardization. •    Recommend and support implementation of corrective and preventive actions to protect system, process, and data integrity.provide real-time quality and risk support. Requirements: Education •    Bachelor’s degree in Life Sciences, Pharmacy, Nursing, Public Health, or related field (required) •    Advanced degree in Clinical Research, Quality Management, Regulatory Affairs, or Data Science (preferred) Experience •    10+ years of experience in Clinical Operations, Clinical Quality, RBQM, or RBM •    Demonstrated experience leading enterprise or cross-study risk management frameworks •    Strong background in audit/inspection readiness, CAPA management, and vendor oversight •    Deep knowledge of ICH-GCP, FDA, EMA, and global regulatory requirements Technical Skills •    Expertise with RBQM tools, centralized monitoring systems, and risk analytics •    Experience defining and using KRIs, QTLs, and quality metrics •    Familiarity with CTMS, eTMF, and data visualization tools (Spotfire, Tableau, Power BI) •    Exposure to AI or predictive analytics for quality monitoring (preferred) Working Conditions: Requires up to 25% domestic and international travel. May involve working outside of regular business hours to accommodate global time zones and project deadlines. The anticipated salary for this position will be $175,000 to $190,000.  The actual salary offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs. The listed salary is just one component of the overall compensation package. At Kyowa Kirin North America we provide a comprehensive range of benefits including: * 401K with company match * Annual Bonus Program (Sales Bonus for Sales Jobs) * Generous PTO and Holiday Schedule which includes Summer and Winter Shut-Downs, Sick Days and, Volunteer Days * Healthcare Benefits (Medical, Dental, Prescription Drugs and Vision) * HSA & FSA Programs * Well-Being and Work/Life Programs * Life & Disability Insurance * Concierge Services * Long Term Incentive Program (subject to job level and performance) * Pet Insurance * Tuition Assistance * Employee Referral Awards The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law. When you apply to a job on this site, the personal data contained in your application will be collected and stored by Kyowa Kirin, Inc. (“Controller”), which is located at 510 Carnegie Center Dr. Princeton, NJ 08540 USA and can be contacted by emailing kkus.talentacquisition.8h@kyowakirin.com. Controller’s data protection officer can be contacted at usprivacyoffice@kyowakirin.com. Your personal data will be processed for the purposes of managing Controller’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Such processing is legally permissible under Art. 6(1)(f) of General Data Protection Regulation (EU) 2016/679 (“GDPR”) as necessary for the purposes of the legitimate interests pursued by the Controller, which are the solicitation, evaluation, and selection of applicants for employment.  Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller’s behalf. Accordingly, if you are located outside of the United States, your personal data will be transferred to the United States once you submit it through this site. The transfer will be made using appropriate additional safeguards under the standard contractual clauses approved by regulators for transfers of personal data outside the European Union. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for employment.  Under the GDPR, if you are located in the European Union, you have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have the right to data portability, and to lodge a complaint with an EU supervisory authority. If you have any questions about our use of your data, you may contact us by email at usprivacyoffice@kyowakirin.com. RECRUITMENT & STAFFING AGENCIES Kyowa Kirin does not accept agency resumes unless contacted directly by internal Kyowa Kirin Talent Acquisition. Please do not forward resumes to Kyowa Kirin employees or any other company location; Kyowa Kirin is not responsible for any fees related to unsolicited resumes. #LI-TT1 #Hybrid #Princeton

Jobbeskrivning Sigma Connectivity’s Edge AI initiatives span multiple domains—computer vision, audio intelligence, sensor fusion, and embedded ML—delivering low‑latency, privacy‑preserving intelligence directly on devices across diverse hardware platforms. Projects routinely involve developing and optimizing ML models for tasks such as gesture recognition, defect detection, object tracking, and contextual human‑machine interaction, deployed on edge hardware including Qualcomm, NVIDIA, NXP, and other MCU‑class systems. Work includes quantization, DSP/NPU acceleration, real‑time analytics, and combined cloud–edge pipelines that enhance precision while keeping compute close to the data source. We are looking for a skilled ML Engineer to join our growing team and contribute to the development of advanced edge AI solutions. Your work will include - Model Design and Deployment: On-Device Design, train, and validate ML models for computer vision, sensor fusion, signal processing, and predictive analytics. Develop and optimize ML pipelines for on‑device inference, including quantization, power/performance tuning, and DSP/NPU acceleration. Monitor, test, and optimize the performance of deployed models to ensure accuracy, scalability, and maintainability. Data Processing & Analysis Build data ingestion, preprocessing, and feature‑engineering pipelines for both edge and hybrid (Edge + Cloud) deployments. Extract, process, and analyse large datasets to generate actionable insights and continuously improve model performance. Collaboration Work with cross‑functional teams—architects, embedded developers, PMs, UI/UX, and customers—to develop and integrate ML functionality into real products. Participate in prototyping, PoCs, and contribute to customer dialogues and technical presentations. Participate in technical discussions, document your work, and clearly explain the trade-offs and decisions behind the solutions you present. Stay Current Keep up to date with the latest trends, tools, and technologies in AI/ML to ensure our solutions are cutting-edge. We are looking for - Strong hands‑on experience in Python, ML frameworks such as PyTorch or TensorFlow, and classical CV libraries (OpenCV, scikit‑learn). Ability to build and deploy ML models for Edge or Embedded platforms, preferably with experience on Qualcomm, Nordic, NXP, or similar SoCs. Familiarity with quantization, model compression, benchmarking, and inference profiling on constrained hardware. Experience with data pipelines, including data validation, augmentation, and performance analysis. Understanding of end‑to‑end ML lifecycle, including experimentation, evaluation, and deployment in production environments. Master’s or PhD in ML, Robotics, Autonomous Systems or related fields. 2+ years of hands-on experience developing and deploying ML models in production. Proven experience in one or more of:Computer vision Time‑series or sensor‑data ML LLM‑based or hybrid AI systems Effective communication skills and experience working in cross-functional teams. Passionate about staying up to date with emerging technologies, methodologies, and industry trends in AI/ML. Bonus: Knowledge of MLOps, FastAPI, Docker, CI/CD, and cloud platforms such as Azure or AWS We Provide - Cutting-Edge Projects: Opportunity to work with industry-defining technologies in terms of applied research and pushing functional boundaries. Vibrant Work Environment: We have technical experts from 25 nationalities as part of our team and disruptive ideas are a daily occurrence whether it is a groundbreaking mesh technology, a radical approach to manage power and performance on edge devices, or creative solutions to enhance model efficiency. Work-Life Balance: We understand the importance of balancing work and personal life. Our flexible work hours and remote work options help you maintain this balance. Competitive Pay: We offer a salary that aligns with industry standards, ensuring you are fairly compensated for your skills and experience. Generous Vacation Time: Enjoy a healthy work-life balance with 25 days of annual paid vacation. We believe time off is crucial for your well-being and productivity. Health and Wellness Benefits: Dedicated yearly health and wellness allocation.

AI förändrar inte bara hur vi arbetar, den förändrar hur företag fattar beslut, utvecklar sina tjänster och skapar värde för sina kunder. Samtidigt växer behovet av moderna dataplattformar, avancerad analys och smart automatisering snabbare än någonsin. För att lyckas krävs mer än rätt teknik. Det krävs projektledare som kan skapa struktur, bygga förtroende och leda komplexa förändringsinitiativ där teknik, verksamhet och människor utvecklas tillsammans. På Edge samarbetar vi med företag och organisationer som investerar i AI, data och digital innovation för att skapa framtidens verksamheter. Nu söker vi fler erfarna AI & Data Project Managers som vill bli en del av vårt nätverk av seniora konsulter. Vi söker inte till ett specifikt uppdrag. Vi söker dig som vill vara redo att leda nästa generations AI- och dataprojekt hos några av Sveriges mest spännande organisationer. Där innovation blir verklighet Som AI & Data Project Manager leder du projekt som hjälper verksamheter att bli mer datadrivna, automatiserade och intelligenta. Du ansvarar för att skapa struktur genom hela projektets livscykel från idé, förstudie och strategi till implementation, förändringsledning och etablering i verksamheten. Du arbetar nära verksamhetschefer, produktägare, data engineers, data scientists, AI-specialister, lösningsarkitekter, utvecklingsteam och externa partners. Din viktigaste uppgift är att skapa samsyn mellan teknik och affär och säkerställa att AI och datainitiativ leder till konkreta resultat. Hos våra kunder kan du leda allt från etablering av moderna dataplattformar och Business Intelligence lösningar till AI-program, avancerad analys, maskininlärning, intelligent automatisering och utveckling av generativa AI-lösningar. Projekt som formar framtidens organisationer Våra kunder driver projekt inom bland annat: AI- och GenAI-initiativ Microsoft Copilot och Copilot Studio Azure AI Services och Azure OpenAI Dataplattformar och Lakehouse-arkitektur Microsoft Fabric Microsoft Azure Data Platform Databricks Snowflake Power BI och Business Intelligence Data Governance och Master Data Management Machine Learning och Predictive Analytics Intelligent Automation och RPA Integration mellan AI-, data- och verksamhetssystem Digital transformation och datadrivet beslutsstöd Gemensamt för projekten är att de kombinerar teknik, verksamhetsutveckling och förändringsledning. Vi tror att du har Du har minst åtta års erfarenhet av projektledning inom IT och har lett större projekt eller program där data, analys, AI eller digitalisering varit en central del av leveransen. Du känner dig trygg i att arbeta i komplexa miljöer med många intressenter och har erfarenhet av att planera, följa upp och styra projekt med ansvar för budget, resurser, kvalitet och leverans. Du behöver inte själv vara data engineer eller AI-specialist, men du har tillräcklig teknisk förståelse för att kunna leda tvärfunktionella team och skapa en effektiv dialog mellan verksamhet och tekniska specialister. Har du erfarenhet av AI-strategier, data governance, moderna molnplattformar eller större transformationsprogram ser vi det som mycket meriterande. Teknik och plattformar vi ofta möter Vi ser gärna att du har erfarenhet av ett eller flera av följande områden: Microsoft Azure Microsoft Fabric Azure Data Factory Azure Synapse Analytics Azure OpenAI Microsoft Copilot Copilot Studio Databricks Snowflake Power BI Microsoft Purview SQL och NoSQL-databaser Python och dataekosystemet AWS eller Google Cloud Platform Machine Learning-plattformar ETL- och ELT-processer API-baserade integrationer DevOps och CI/CD Agila leveransmodeller såsom Scrum, SAFe eller Kanban Det viktigaste är dock inte vilka verktyg du har arbetat med, utan din förmåga att leda människor och skapa framgångsrika leveranser. En projektledare som gör AI begripligt Vi tror att du är nyfiken på ny teknik men samtidigt har ett starkt verksamhetsfokus. Du kan översätta komplexa tekniska resonemang till affärsvärde och skapa förståelse hos beslutsfattare, användare och projektteam. Du är kommunikativ, prestigelös och van att bygga förtroende i organisationer där förändring påverkar många människor. Du drivs av att skapa resultat som består även efter att projektet är avslutat. Ett partnerskap byggt för framtiden På Edge tror vi att de bästa projekten börjar med rätt människor. Därför arbetar vi långsiktigt med våra konsulter och lägger stor vikt vid att förstå dina ambitioner, din kompetens och vilken typ av uppdrag som motiverar dig. Vi samarbetar med kunder inom bland annat finans, industri, energi, offentlig sektor, retail, telekom och life science verksamheter där AI och data blir allt viktigare för affären. Vi välkomnar både dig som vill arbeta som projektanställd och dig som driver eget konsultbolag. För oss är det viktigaste att skapa ett långsiktigt samarbete med några av marknadens främsta projektledare. Välkommen till Edge Om du vill leda projekt som formar framtidens datadrivna och AI-drivna organisationer vill vi gärna komma i kontakt med dig. Skicka gärna ditt CV. Vi arbetar löpande med att matcha våra konsulter mot nya uppdrag och ser fram emot ett förutsättningslöst samtal om hur vi tillsammans kan skapa nästa steg i din karriär. Vi ser fram emot att höra från dig.

2MNordic is a Swedish IT consulting company. Since 2001, we’ve helped our customers to re-engineer, digitalize, manage and operate their most essential product development, advancing the ways of working that improve customer experiences, heighten efficiency and lower operating costs to deliver clear outcomes and topline growth. We have the pleasure to work with many varying companies across a couple of industries. Our highest priority is to create best customer experience by working across different skill sets, technologies and locations as a cohesive team with our customers delivering digital solutions that drive their business growth and increase operating efficiency. NOTE its 100% Onsite in Malmö, with start date ASAP. Senior Machine Learning Engineer / Data Scientist Are you passionate about applying machine learning to solve real-world problems at scale? We are looking for an experienced Machine Learning Engineer or Data Scientist to develop intelligent solutions that improve data quality, automate analysis, and generate valuable business insights. You will work across the full machine learning lifecycle—from experimentation and model development to production deployment and continuous improvement. Responsibilities Design, develop, and deploy machine learning models. Build scalable data pipelines and software solutions. Analyze large datasets to improve quality and generate actionable insights. Develop and optimize NLP and machine learning solutions. Integrate machine learning models into production systems. Collaborate with software engineers, data engineers, and domain experts. Take ownership of features throughout the entire development lifecycle. Required Qualifications Strong programming skills in Python. Solid experience in Machine Learning and Data Science. Experience with LLMs, prompt engineering, and agent-based AI solutions. Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Pandas, and NumPy. Strong understanding of supervised and unsupervised machine learning algorithms. Experience building scalable production-ready ML solutions. Strong analytical and problem-solving skills. Excellent communication skills in English. Meritorious Experience with Java or Scala. Knowledge of NLP, Information Retrieval, Data Mining, or Predictive Analytics. Experience building statistical or predictive models. Personal Profile You are curious, analytical, and motivated by solving challenging problems with data. You enjoy working collaboratively, taking ownership, and turning research into production-ready solutions that create real business value. Öppen för alla Vi fokuserar på din kompetens, inte dina övriga förutsättningar. Vi är öppna för att anpassa rollen eller arbetsplatsen efter dina behov.

Join our global force of 400+ innovators, blending the latest in tech with the greatest in soundtracking, from our Stockholm HQ to offices in London, New York, Los Angeles, Berlin, Paris, Oslo, and Seoul. We’re an industry leader with a startup mentality. We take what we do seriously, but we don’t take ourselves too seriously. Creating and collaborating to transform the sound of streaming, content, and culture. Come join us, and let the world feel your work. As the VP of B2B Sales, RoW, you are responsible for revenue growth across our key international markets outside the US. This is a leadership role designed for an expert commercial strategist who balances high-level vision with a hands-on, execution-oriented leadership style. Inheriting a high-performing, cross-functional organization, you will own both new logo acquisition and driving positive Net Retention Rate (NRR) across our existing portfolio. You will initially manage experienced Team Leads who oversee local sales teams across our focus markets. Your primary focus will be to grow our B2B business through new customer acquisition and portfolio expansion. Your key responsibilities include * Drive Revenue & Global Scale: Own the B2B revenue targets and budget for the RoW region. Intuitively navigate fragmented international markets, tailoring the GTM strategy to fit diverse regional demands while fiercely protecting healthy unit economics across both new logos and existing portfolios. * Architect the Sales Playbook: Don't just execute an existing playbook; actively refine, rebuild, and modernize it. Lead the team through complex scaling transitions (drawing from your experience in SaaS, Gaming, E-commerce, or Media) to mature our motion into larger, high-value B2B deals. * Provide Hands-On Deal Strategy: Deeply root the team in consultative, value-based selling frameworks (e.g., MEDDPICC). Get close to the sales floor by regularly diving into active deals with Team Leads to separate signals from noise, optimize pricing models, and help cross the finish line on complex B2B partnerships. * Act as a Frontline Talent Magnet: Take personal ownership of building an ecosystem of exceptionally high talent density. Stay on the frontline; actively interviewing, hiring, coaching, and retaining a diverse, world-class team. * Modernize GTM Operations with AI: Champion the adoption of AI-driven sales enablement tools to optimize pipeline velocity, scale outbound prospecting, improve predictive forecasting, and uncover data-backed revenue opportunities. * Drive Operational Excellence & Adaptability: Proactively identify and solve systemic bottlenecks across the sales and go-to-market lifecycle. Maintain operational excellence across ways of working, systems, and tools, ensuring the team adapts fluidly to a fast-changing business environment. * Enable Strategic Collaboration: Partner seamlessly with global leadership to shape broad B2B strategy, operational plans, commission structures, cross-sell workflows, and strategic partnerships. Act as the commercial anchor for RoW, reporting transparently on numbers, market trends, and regional developments. Requirements You are a seasoned B2B executive who thrives in fast-paced, rapidly scaling technology environments. You excel at turning ambiguity into action, building immediate trust with senior stakeholders, and driving strategic continuity while remaining close to the reality of the sales floor. * Sales Leadership Experience: 15+ years of B2B sales management experience, with at least 8+ years in leadership, including 2+ years specifically managing other managers/leaders. * Diverse Industry Background: Experience from rapid-scaling industries, with a proven track record of success in fields such as SaaS, Gaming, E-commerce, Media, or Entertainment. Experience with licensing models is a major plus. * Target ICP Knowledge: Deep experience or a strong network within our key Ideal Customer Profiles (ICPs): Broadcasters & Streaming Entities, Brands, Digital Publishers, Gaming studios, or Agencies & Production Companies. You understand how AI is shifting content creation workflows for these buyers. * Strategic Communication: Strong analytical skills paired with the ability to confidently connect, communicate, and align with C-suite executives and board-level stakeholders. * AI & Tech Literacy: Experience leveraging AI methodologies, predictive analytics, and modern RevOps tech stacks to drive data-informed decision-making and operational efficiency. * Education: Bachelor’s or Master’s degree in Business Administration, or a related field (or equivalent practical experience). Equal opportunity employer We believe that bringing people together from different backgrounds, experiences and perspectives makes for a healthy workplace, a more successful business and a better world. We value diversity and encourage everyone to come and soundtrack the world with us. Application Ready to make the world feel your work? Please apply, in English.

Turn ship physics into software people actually use At Cetasol we build the monitoring and analytics platform that commercial fleets use to cut fuel consumption, understand how their vessels really perform, and stay on the right side of CII and EU MRV reporting. A growing part of that platform is predictive maintenance: catching when an engine, generator, thruster, or the vessel as a whole starts behaving differently than it should, before it becomes a failure. Getting there takes two things that rarely live in the same person: an understanding of the physics behind how these assets actually behave, and the engineering skill to ship that understanding as a working product. We're looking for that person. What you'll do Build physical and data-driven models of vessel assets — engines, generators, thrusters, and the ship as a whole — that capture what "normal" operation looks like Detect when an asset deviates from its expected behaviour, and trace that deviation back to the sensors and signals driving it Work with noisy, real-world sensor data from vessels: clean it, validate it, and decide what it can and cannot support Take your own models from notebook to production on AWS, and build the React interfaces where the results actually land in front of customers Own features end to end, with our UX designer, full stack developers and data scientist alongside you Help us decide where a first-principles model beats a statistical one, and where it doesn't What we're looking for The balance here is genuinely 50/50. You should be comfortable deriving a model and deploying it. On the modelling side: Strong applied mathematics, physics or engineering foundation — fluid dynamics, thermodynamics, control theory, numerical methods, or similar Experience with anomaly detection or condition monitoring on physical systems — knowing how to separate a genuine fault signature from normal operating variation Solid Python and the usual scientific stack; experience with time series and sensor data The judgement to know when a model is good enough and when it's fooling you On the engineering side: Practical experience building and running services on AWS Comfortable in React and modern frontend work — you don't need to be a specialist, but you should be able to build the view your model deserves Familiarity with the ordinary craft of software: version control, testing, code review, CI And: You explain technical work clearly to people who aren't specialists You're happy to sit somewhere between disciplines rather than in the middle of one We're open on years of experience. If you can do the work, the title follows. Nice to have Predictive maintenance or condition-based monitoring · maritime, automotive, aerospace or energy domain experience · digital twins or physics-informed machine learning · edge computing or embedded data collection Why Cetasol Shipping accounts for roughly 3% of global CO₂ emissions, and a meaningful share of that is avoidable through better operational decisions. The work here is technically interesting and the impact is measurable in tonnes of fuel. You'd be joining a small engineering team where your work is visible and your scope is wide. We're based in Gothenburg and work hybrid — we value time in the same room, without counting days.

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Data Analyst for one of our clients. About the assignment: IT & Digitalization BI & Analytics specialist This is us VGRE is strengthening its data driven capabilities to enable better operational and strategic decisions. Reporting and analytics are currently fragmented, and this role plays a key part in creating structure, clear ownership, and trusted insights across the organization. Your main responsibilities will be • Own end to end Power BI reporting for VGRE (development, maintenance, quality, lifecycle). • Consolidate and rationalize/streamline existing reports to reduce duplication and fragmented reporting. • Act as single point of contact for Power BI reports and underlying data. • Perform data analysis to identify trends, deviations, and improvement opportunities. • Ensure high data quality and accuracy, governance, and “one source of truth” principles. • Contribute and drive BI strategy, roadmap, and ways of working, balancing delivery and long term structure. • Support the move towards self service BI through well documented datasets and analytical models. • Explore and build analytical models (forecasting, basic ML) for predictive insights. To be successful in this job you will need the following toolbox Experience & skills • Strong hands on Power BI skills (data modeling and visualization). • Good business understanding, especially financial and operational data. • Experience working with large datasets and applying data quality principles. Personal competences • Structured, analytical, and detail oriented. • Ability to bring structure in ambiguity and actively help shape and form the role as VGRE’s BI capability evolves. • Clear communicator, able to turn data into insights and stories. • Hands on, delivery oriented, and pragmatic. • Curious mindset with a focus on continuous improvement. • Team player, comfortable working in English. Minimum 5 years’ experience. Uppdragsinformation Uppdragslängd: 2026-05-04 to 2026-11-30 Placeringsort: Göteborg Svar önskas snarast, dock senast 2026-05-01. Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. Why Lovable? Lovable lets anyone and everyone build software with plain English. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Over 2 million people in 200+ countries already use Lovable to launch businesses, automate work, and bring their ideas to life. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. Experience creating production-level data models with strong testing, and clear ownership across pipelines. Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. Deep curiosity about user behavior and what actually drives growth and retention Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions Build dashboards, alerts, and automated reporting to keep the team informed and aligned Monitor data quality and collaborate with engineering to maintain reliability Translate complex financial data into clear narratives for executive and board audiences Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation Our tech stack We're building with tools that both humans and AI love: Frontend: React Backend: Golang and Rust Cloud: Cloudflare, GCP, AWS, Many LLM providers DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! How we hire Fill out a short form and hop on a quick intro call with our recruiting team Walk through past work and real examples of your process Show us your Most Impressive Project Cross-functional interviews to meet more team members About your application Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. We treat all candidates equally - if you’re interested please apply through our careers portal.

TL;DR - We’re looking for a business-savvy data scientist to build and scale financial analytics, from data models and metrics frameworks to forecasting and strategic insights. You’ll turn product and business data into clear decisions, partner closely with Finance, Data, and Engineering, and support executive reporting and fundraising with reliable models, dashboards, and analysis. WHY LOVABLE? Lovable lets anyone and everyone build software with any language. From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast. We are at the forefront of a foundational shift in software creation, which means you have an unprecedented opportunity to change the way the digital world works. Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast. And we’re just getting started. We’re a small, talent-dense team building a generation-defining company from Stockholm. We value extreme ownership, high velocity, and low-ego collaboration. We seek out people who care deeply, ship fast, and are eager to make a dent in the world. What we’re looking for * A business-minded data scientist excited to level up our financial analytics by building metrics frameworks and data models. * Ability to move seamlessly between exploratory analysis, behavioral modeling, hypothesis testing, and strategic recommendations. * Experience creating production-level data models with strong testing, and clear ownership across pipelines. * Solid technical foundation (SQL, Python, statistical analysis) - comfortable working with data at scale and translating it into insights. * Deep curiosity about user behavior and what actually drives growth and retention * Expertise in financial modeling, forecasting, and scenario analysis (P&L, cash flow, unit economics). What you’ll do * Partner with the Finance team to build and maintain financial projections, decision analyses, and long-range plans * Work closely with data and engineering teams to leverage product and business data for deeper financial insights, cohort analysis, and predictive modeling * Analyze funnels, cohorts, and user behaviors to surface insights that drive decisions * Build dashboards, alerts, and automated reporting to keep the team informed and aligned * Monitor data quality and collaborate with engineering to maintain reliability * Translate complex financial data into clear narratives for executive and board audiences * Support fundraising and strategic initiatives with ad-hoc financial analysis and data room preparation OUR TECH STACK We're building with tools that both humans and AI love: * Frontend: React * Backend: Golang and Rust * Cloud: Cloudflare, GCP, AWS, Many LLM providers * DevOps & Tooling: Github Actions, Grafana, OTEL, , infra-as-code (Terraform) And always on the lookout for what's next! HOW WE HIRE 1. Fill out a short form and hop on a quick intro call with our recruiting team 2. Walk through past work and real examples of your process 3. Show us your Most Impressive Project 4. Cross-functional interviews to meet more team members About your application * Please submit your application in English. It’s our company language so you’ll be speaking lots of it if you join. * We treat all candidates equally - if you’re interested please apply through our careers portal.

Join us to deliver a smoke- free future as Senior Business Analyst! We’ve chosen to do something incredible. We’re totally transforming our business and building our future with one clear purpose – to deliver a smoke-free future. Swedish Match is an affiliate of PMI and has been a leader in the industry for more than 200 years. In the Nordic region, we are 1,600 employees based in Sweden, Denmark, Finland and Norway working in various functions and teams and together we are collaborating to deliver a smoke-free Nordics. Role summary: We’re looking for a Senior Business Analyst to transform business needs into impactful data products and analytics solutions. In this role, you translate business needs into actionable analytics solutions, partnering closely with various stakeholders to deliver measurable impact. Your day to day: Translate business needs into analytics solutions by converting commercial questions into scalable analytics deliverables such as dashboards, reports, or predictive models. Analyse data and generate insights by connecting various data sources to measure the impact and performance of commercial initiatives against KPIs with recommendation of corrective actions. Drive data governance and compliance by ensuring data quality and alignment to governance standards. Be a standout team player and collaborate with cross-functional teams (Commercial Operations, Channel owners, Data Scientists, etc) to understand business needs and ensure relevancy of solutions & insights generated. What you bring: Storytelling and the ability to understand the data to make informed business decisions and tell compelling data stories. Deep understanding of data, and how data drives decision making in resource allocation. Design of analytics solutions that enable data-driven decisions across Commercial teams. Strategic mindset, with a demonstrable record of shaping business, marketing and commercial data analytics. Your experience: Degree in Business Management / Data Engineering / Technology or Finance. Minimum of 2-5 years of experience in Finance / Data Analytics (preferably in FMCG) with business modelling tools and analytics platforms. Professional certifications such as CBAP (Certified Business Analysis Professional) or PMI-PBA (PMI Professional in Business Analysis) are a plus. To be successful in this role, you should be adept at building and maintaining business models to support diverse scenarios, with strong analytical skills to investigate issues, perform root cause analysis, and recommend improvements. Familiarity with LeanIX and proficiency in BI tools would be an advantage, along with experience in data visualization and solving complex business challenges. You’ll need to demonstrate curiosity, problem-solving capabilities and collaborate confidently across multi-functional teams and stakeholders. What we offer Our success depends on the dedicated people who come to work every single day with a sense of purpose and an appetite for progress. Join Swedish Match and you too can: Seize the freedom to define your future and ours. We’ll empower you to take risks, experiment and explore. Be part of an inclusive, diverse culture, where everyone’s contribution is respected; collaborate with some of the world’s best people and feel like you belong. Enjoy flexibility of hybrid way of working - split your time between working from our office or the comfort of your home, where it works best for you in line with business needs. Pursue your ambitions and develop your skills with a global business – our staggering size and scale provides endless opportunities to progress. Take pride in delivering our promise to society: to deliver a smoke-free future.

Bannerflow is a fast-growing global SaaS company building a Creative Intelligence Platform that enables enterprise brands to predict, create, and optimize advertising across channels. We’re on a company-wide AI transformation journey, where AI and agentic workflows are becoming a core part of how we build and innovate, with high expectations on adoption across all teams. Our teams are highly autonomous, collaborative, and we are now looking for another passionate engineer to join us! The challenge: Scaling data for the future Our platform serves 500+ million impressions daily, with peaks over 1 billion impressions, and we’re just getting started. We’re currently rebuilding our entire data infrastructure from the ground up to adopt a data lakehouse approach, enabling: Scalability & Flexibility: Handling billions of data points while staying cost-efficient and future-proof. Data-Driven Features (AI & ML): Enabling predictive models and automation based on historical data. Business Intelligence & Analytics: Delivering insights directly to customers in our platform. To make this vision a reality, we’re looking for an experienced Data Platform Engineer to join our Platform team, and take full ownership of designing and building a scalable, high-performance data platform that will power the next generation of our product. Are you + Bannerflow = True? 🦋 We believe this is an opportunity for you who want to take the technical lead and define our data platform and best practices. Your work will directly impact customers and drive innovation in Ad Tech as part of an autonomous tech team. You'll tackle cutting-edge challenges in large-scale data processing, ML pipelines, and advanced analytics. At Bannerflow, we live by our values of passion, collaboration, and challenge. You'll be part of a vibrant culture with activities like padel tournaments, webinars, Friday beers, and Level-up Hackathons. We offer a hybrid workplace and a competitive compensation package, including pension according to ITP1, health allowance, parental leave top-up, and health care insurance. Your mission Design and build scalable data pipelines for analytics and AI-driven features. Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost. Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability. Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights. Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack. So, what are we looking for? 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing. Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS). Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.). Experience with designing scalable architectures and pipelines that support large datasets efficiently. Passion for AI/ML-driven data features and enabling advanced analytics. Problem-solver mindset, you love optimizing performance and building robust systems. Curiosity & ownership – you thrive in an environment where you can experiment and improve. Not sure if you check all the boxes? Apply anyway! We believe that mindset and passion are just as important as technical skills. If you have a software engineering background, love solving complex problems, and are a data nerd at heart, we’d love to hear from you, even if you don’t meet every requirement. We’re looking for the right person, not just the perfect resume. We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds, experiences, and abilities. Join us at Bannerflow and help us build a world-class data platform that powers the future of Ad Tech!

Bannerflow is a fast-growing global SaaS company building a Creative Intelligence Platform that enables enterprise brands to predict, create, and optimize advertising across channels. We’re on a company-wide AI transformation journey, where AI and agentic workflows are becoming a core part of how we build and innovate, with high expectations on adoption across all teams. Our teams are highly autonomous, collaborative, and we are now looking for another passionate engineer to join us! THE CHALLENGE: SCALING DATA FOR THE FUTURE Our platform serves 500+ million impressions daily, with peaks over 1 billion impressions, and we’re just getting started. We’re currently rebuilding our entire data infrastructure from the ground up to adopt a data lakehouse approach, enabling: * Scalability & Flexibility: Handling billions of data points while staying cost-efficient and future-proof. * Data-Driven Features (AI & ML): Enabling predictive models and automation based on historical data. * Business Intelligence & Analytics: Delivering insights directly to customers in our platform. To make this vision a reality, we’re looking for an experienced Data Platform Engineer to join our Platform team, and take full ownership of designing and building a scalable, high-performance data platform that will power the next generation of our product. ARE YOU + BANNERFLOW = TRUE? 🦋 We believe this is an opportunity for you who want to take the technical lead and define our data platform and best practices. Your work will directly impact or product vision, customers, and drive innovation in Ad Tech as part of an autonomous tech team. You'll tackle cutting-edge challenges in large-scale data processing, ML pipelines, and advanced analytics. At Bannerflow, we live by our values of passion, collaboration, and challenge. You'll be part of a vibrant culture with activities like board game nights, Friday beers, and Level-up Hackathons. We offer a hybrid workplace and a competitive compensation package, including pension according to ITP1, health allowance, parental leave top-up, and health care insurance. YOUR MISSION * Design and build scalable data pipelines for analytics and AI-driven features. * Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost. * Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability. * Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights. * Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack. SO, WHAT ARE WE LOOKING FOR? * 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing. * Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS). * Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.). * Experience working with workflow orchestration platforms such as Prefect, Dagster, or Airflow, including designing, implementing, and operating data workflows in production environments. * Experience with PostgreSQL, including data modeling, query optimization, and building reliable data movement patterns between operational and analytical systems. * Experience with designing scalable architectures and pipelines that support large datasets efficiently. * Passion for AI/ML-driven data features and enabling advanced analytics. * Problem-solver mindset, you love optimizing performance and building robust systems. * Curiosity & ownership – you thrive in an environment where you can experiment and improve. NOT SURE IF YOU CHECK ALL THE BOXES? APPLY ANYWAY! We believe that mindset and passion are just as important as technical skills. If you have a software engineering background, love solving complex problems, and are a data nerd at heart, we’d love to hear from you, even if you don’t meet every requirement. We’re looking for the right person, not just the perfect resume. We are committed to building a diverse and inclusive team and welcome applications from candidates of all backgrounds, experiences, and abilities. Join us at Bannerflow and help us build a world-class data platform that powers the future of Ad Tech! A quick summer note 🌞 Please apply as usual, we'd still love to hear from you! Many of us are taking time off right now, so applications will only be reviewed sporadically until we're back to our usual pace in August. Thanks for your patience.

Do you enjoy working in a dynamic and evolving environment where your ideas matter and your expertise helps create real value for people? At Swedbank, we believe in building solutions that make everyday life easier and more secure for our customers — and we want you to be part of that journey.In Swedbank you have the opportunity to: Develop, test, analyze and manage systems/applications for Swedbank's Contact Center plattform Work together with other developers and agile teams to make sure we deliver the best solution for our customer center Opportunity to shape innovative customer experience solutions. To work in a collaborative, forward-thinking, and supportive work environment. Professional growth. What is needed in this role: Core Genesys Cloud Skills Genesys Cloud Architect: Designing inbound/outbound call, email, and message flows, including reusable tasks and secure flows. Data Actions & Integrations: Building and troubleshooting data actions that connect to RESTful Spring Boot services. Genesys SDKs & APIs: Experience with the Platform API, Notifications API (WebSockets), and Analytics API. Scripting: Creating dynamic Agent Scripts integrated with the Genesys Cloud Embeddable Framework. Web Messaging & Digital: Implementing Web Messaging (v3) with custom deployment and journey tracking. Outbound Campaigns: Configuring Predictive, Power, and Agentless dialing modes. Security (OAuth): Implementing secure authentication flows (Authorization Code, Client Credentials, PKCE). Minimum 3+ years of relevant education (Computer Science, Information Technology, Software Engineering, or similar). At least 3+ years of experience in the IT industry, ideally within software development, integrations, or cloud-based platforms. Key Responsibilities: Build and maintain intelligent, customer‑friendly IVR and routing flows. Collaborate closely with Java/Spring Boot teams on integrations and data models. Use CX as Code (Terraform provider for Genesys Cloud) to manage configuration across Dev, UAT, and Production environments. Analyze and optimize performance, including API rate limits and notifications. Support teams embedding Genesys widgets into our custom Angular agent desktop. With us, you can experience: Personal and professional growth through self-leadership and continuous development. Meaningful work that positively impacts our workplace, our customers, and society. An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities. A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role. Benefits such as our share based reward program Eken, company pension plan, employee offer for banking products, health insurance. "Join our team and... become part of an international team of professional colleagues, who work together to deliver challenging projects, maximize customer satisfaction and contribute to Swedbank's position in society." Elin Glans, your future manager We look forward to receiving your application by 30.09.2026.  Location: Stockholm, Sundbyberg Recruiting manager: Elin Glans, +46 722496974 We want to inform you that the selection process may begin after the summer holidays. We would like to let you know that a background check and a drug test may be a part of the process for this role. We have made our choice regarding recruitment media and therefore kindly decline contact with ad sellers or sellers of other recruitment services. Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome. #LI-MA1 #LI-Hybrid

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. ---------------------------------------------------------------------------------------------------------------------------------- THE ROLE Are you passionate about leveraging data science to drive business impact and take analytics to the next level? Join Mentimeter as a Data Scientist in our Revenue Analytics team, where you will play a pivotal role in advancing our analytics capabilities for our Enterprise go-to-market Motions.  Data is not only central, but crucial, to how Mentimeter will reach success. At Mentimeter, the Catalyst department is on a mission to realise our company strategy and drive innovation, growth and impact throughout our company by using data, automations and generative AI. In this role you'll work at the intersection of analytics, data science, revenue operations and business to deliver actionable insights and solutions that enable better decisions across the company.  You will collaborate with cross functional teams and company leaders to translate complex business needs into scalable solutions. Your contributions will directly influence key business outcomes such as customer retention, engagement, and revenue growth. WHAT YOU’LL DO * Execute end to end data science initiatives for our Enterprise go-to-market motions, from initial problem framing to the delivery of actionable recommendations. * Design and deploy machine learning models, such as predictive scoring, clustering, and forecasting, to solve increasingly sophisticated business challenges. * Build and ship internal data products and automated workflows that activate insights in the right tools to drive impact. * Be a key partner to Sales, Marketing, and Customer Success teams to ensure data solutions are relevant, usable, and impactful. * Elevate the data science craft by applying best practices in maintainable code, rigorous testing, and collaborative code reviews. * Translate complex data analyses into compelling narratives and visualizations that resonate with diverse audiences and drive action. WE BELIEVE YOU HAVE * A minimum of 5+ years of relevant experience in data science, analytics, machine learning, or a closely related field. * Proven expertise in Python and SQL, with a track record of applying advanced methodologies to real world business problems. * Practical experience with statistical analysis, classification, and predictive modeling techniques. * Experience using AI tools (such as Cursor or Claude) to enhance productivity and quality. * A builder mindset with curiosity and interest to use the latest technologies to build internal products and systems that scale. * Strong business acumen with a deep interest in sales, marketing, and revenue operations analytics. * Solid software engineering practices, including git, versioning, and writing performant, maintainable code. * Exceptional communication skills, with the ability to convey complex concepts through clear narratives and actionable insights. * Experience collaborating with data engineers on data pipelines, model deployment, and monitoring. * The ability to work independently and navigate unfamiliar challenges by seeking appropriate input and prioritizing effectively. NICE TO HAVE * Familiarity with modern data tools (e.g. Snowflake, Hex, DBT) and cloud platforms (e.g. AWS, Google Cloud). * Experience with cloud platforms such as AWS or Google Cloud. * Experience working within a SaaS environment, especially with enterprise sales, customer lifecycle, product usage, or customer retention. NOT REQUIRED * Swedish is not required (as daily work is carried out in English and the Mentimeter team currently boasts 50+ different nationalities) * A traditional cover letter is not required as part of your application ---------------------------------------------------------------------------------------------------------------------------------- 📍 LOCATION: This is primarily an onsite role located at Mentimeter HQ in Stockholm, with a hybrid approach and ability to work from home up to twice per week. Please note that we do not offer visa relocation sponsorship for this position.   💡OUR RECRUITMENT PROCESS: 1. Introduction interview 2. Competence interview, including a live case. 3. Personality & Logical ability test 4. Culture interview 5. References & Offer ---------------------------------------------------------------------------------------------------------------------------------- Compensation:  At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 57,000–SEK 68,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm. What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. *  There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  ABOUT HONOR Our mission is simple: change the way we care for our parents so they can age safely at home. How we accomplish that mission is anything but simple. Delivering reliable home care requires coordinating people, schedules, geography, skills, preferences, and changing needs across a complex operating environment. Honor combines technology, operations, and the local expertise of our partner agencies to improve how care is delivered at scale. Our platform supports the caregivers who provide care, the teams who coordinate it, and the families who depend on it. We are looking for a Senior Manager, Data Science to lead a team applying advanced data science and AI to some of Honor’s most important operational challenges. ABOUT THE ROLE You will lead the development of models and decision systems that improve how Honor matches caregivers and clients, constructs sustainable schedules, allocates capacity, prioritizes operational work, and responds to changing conditions. This is not an analytics support role. Your team will work directly with Product, Engineering, and Care Operations to turn difficult operating problems into production systems that improve measurable outcomes. You will contribute to Honor’s broader Data Science and Applied AI direction, help shape the team’s roadmap, and remain hands-on as a player-coach. WHAT YOU’LL DO * Help shape the Data Science and Applied AI roadmap, identifying where predictive modeling, optimization, experimentation, forecasting, causal inference, and modern AI can create the greatest impact. * Lead the development of production models and decision-support systems that improve matching, scheduling, operational prioritization, and service reliability. * Apply modern AI, including agentic workflows, to improve how teams analyze information, make decisions, and execute operational work. * Partner with Product, Engineering, and Operations from problem definition through deployment, adoption, and iteration. * Establish strong standards for evaluating, monitoring, and responsibly deploying machine learning and AI-enabled systems. * Lead, coach, and grow the team while remaining hands-on in high-priority projects as a player-coach. EXAMPLES OF PROBLEMS YOU MAY SOLVE * Improving caregiver-client matching while balancing fit, continuity, availability, and travel. * Building more reliable and sustainable schedules for caregivers and clients. * Using data science and AI to identify operational risks earlier and help teams focus where they can have the greatest impact. ABOUT YOU * 7+ years of experience in data science, machine learning, operations research, applied AI, or a related field, including 3+ years leading teams. * Have built or led the development of models or decision systems that operated in production and influenced meaningful business or customer outcomes. * Can determine whether a problem calls for prediction, optimization, experimentation, simulation, workflow redesign, an AI agent, or no model at all. * Understand that successful applied AI requires more than choosing a model. It requires clear objectives, reliable data and tools, rigorous evaluation, thoughtful system design, and appropriate human oversight. * Experience partnering with Product, Engineering, Operations, and senior business stakeholders on ambiguous, cross-functional problems. * Comfortable working with imperfect operational data while maintaining a high standard for measurement and technical rigor. * Can communicate clearly with technical, operational, and executive audiences. * Have a bias toward action and an iterative approach to problem-solving. You are willing to inspect the data, understand the workflow, prototype solutions, and revise your view. * Are an effective people leader who can set clear expectations, develop talent, prioritize work, and build a strong technical culture. HELPFUL EXPERIENCE Experience with marketplace, logistics, workforce, scheduling, healthcare, or other complex operating systems is especially valuable, as is experience with optimization, forecasting, recommender systems, causal inference, agentic systems, or AI evaluation. A bachelor’s, master’s, or doctoral degree in a quantitative or technical field is welcome, but we care most about demonstrated ability, judgment, leadership, and impact. WHY THIS ROLE IS DIFFERENT Many companies have interesting datasets. Honor has a dynamic operating environment in which technical decisions directly affect caregivers, care teams, families, and older adults. The opportunity is to build systems that do more than predict outcomes. They will help Honor decide what to do next, execute more effectively, and continuously learn from the results. Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $228,600—$254,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.