Sökresultat för "Data Science"

What you will do Perform independent end-to-end validation of fraud detection ML models, including conceptual soundness, data integrity, feature engineering, model development, deployment design, and monitoring frameworks. Develop challenger models. Review and challenge first-line fraud model methodologies, assumptions, and implementation choices (e.g., scikit-learn, LightGBM, graph models, anonaly detection techniques, GenAI components). Build and deploy agentic AI tools to support model validation workflows — automating review of model documentation and code, surfacing risks and inconsistencies. Assess model performance using appropriate fraud metrics (e.g., precision/recall, ROC-AUC, PR-AUC, cost-sensitive metrics, fraud rate capture, business impact trade-offs). Evaluate model stability, drift detection, retraining strategies, and production monitoring practices. Independently replicate model results where necessary and conduct challenger analyses to assess model robustness and limitations. Review large-scale transaction datasets and feature pipelines (e.g., >100M transactions, hundreds of features) to assess data representativeness, leakage risks, and bias. Evaluate model governance documentation, explainability approaches, and transparency — including regulatory compliance related to model risk, fairness, and data privacy. Validate new technologies applied in fraud detection, such as Graph Networks, Behavioral Biometrics, Anomaly Detection, and GenAI-based systems. Assess controls around CI/CD pipelines, deployment processes (e.g., Docker, Jenkins), and cloud environments (e.g., AWS SageMaker, S3, Athena, Lambda). Develop and maintain validation frameworks, testing standards, and model performance monitoring tools (e.g., SQL, PySpark, Python-based validation libraries). Collaborate closely with first-line fraud data scientists, ML engineers, product, and business stakeholders to ensure transparent communication of model risks and validation findings. Provide actionable recommendations and formally document validation outcomes in line with internal model governance standards and external regulatory expectations. Stay up to date with evolving fraud typologies, emerging ML/AI techniques, and regulatory developments in model risk management. Who you are Advanced degree (Master’s or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, or Engineering. 3+ years of hands-on experience in fraud-related modeling (e.g., transaction fraud, account takeover, identity fraud, payments fraud etc). Strong expertise in machine learning methods used in fraud detection, including tree-based models (e.g., LightGBM), anomaly detection, graph/network models, and advanced ML techniques. Deep understanding of the end-to-end ML lifecycle — from conceptual design and feature engineering to production deployment and monitoring — with the ability to critically challenge each stage. Strong programming skills in Python and SQL; experience with PySpark/Spark and large-scale data processing. Experience building agentic AI workflows. Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Lambda, S3, Athena) and production deployment workflows. Strong knowledge of model validation principles, model risk governance frameworks, and regulatory expectations. Experience assessing model bias, fairness, explainability, and privacy risks. Excellent analytical thinking and structured problem-solving skills, with the ability to assess complex models and clearly articulate risks and limitations. Strong communication skills, capable of translating technical findings into clear, actionable insights for senior stakeholders and non-technical audiences. Ability to work independently while constructively challenging first-line teams in a collaborative manner. Awesome to have Experience in BNPL, credit cards, payments, or other transaction-heavy financial products. Experience validating models in highly regulated environments. Experience mentoring junior validators or leading validation reviews. Exposure to inference of rejected transactions and understanding of fraud/credit overlap. Familiarity with AI governance frameworks and emerging AI regulatory requirements.

Institutionen för biokemi och biofysik. SciLifeLab (SciLifeLab) är ett nationellt center för molekylära biovetenskaper med fokus på forskning inom hälsa och miljö. Centret kombinerar ledande teknisk expertis med avancerat kunnande inom translationell medicin och molekylära biovetenskaper. SciLifelab är en nationell resurs som drivs av Karolinska Institutet, KTH, Stockholms universitet och Uppsala universitet. Centret samarbetar med flera andra lärosäten.  Administrativt kommer anställningen att placeras vid Institutionen för biokemi och biofysik, Stockholms universitet. För mer information om vår verksamhet, se vår webbplats: www.dbb.su.se. Arbetsuppgifter SciLifeLab och Wallenberg National Program for Data-Driven Life Science (DDLS) är ett 12-årigt initiativ som fokuserar på datadriven forskning, med syftet att utbilda och rekrytera nästa generation av livsvetare samt skapa stark och globalt konkurrenskraftig kompetens inom beräkningsvetenskap och datavetenskap för svensk livsvetenskap. Programmet syftar till att stärka nationella samarbeten mellan universitet, överbrygga forskningsmiljöerna inom livs- och datavetenskap samt skapa partnerskap med industri, hälso- och sjukvård och andra nationella och internationella aktörer. Vi söker nu en Data Science Lead till SciLifeLabs bioinformatikplattform (National Bioinformatics Infrastructure Sweden: www.nbis.se) för att bidra till att forma och påskynda införandet av avancerad maskininlärning och AI inom datadriven livsvetenskaplig forskning. Vid SciLifeLabs bioinformatikplattform (NBIS), en unik nationell infrastruktur med över 120 experter, kommer du att ha en nyckelroll i strategisk och praktisk planering tillsammans med SciLifeLabs AI Lead och andra nationella och internationella partners. En del av din tid kommer också att innebära att bidra till utvalda forskningsprojekt, ge vägledning kring avancerade analytiska och AI-drivna metoder samt medverka i forskarutbildning på nationell nivå. De huvudsakliga arbetsuppgifterna är: Strategisk och praktisk planering för att forma och påskynda införandet av avancerad maskininlärning och AI inom datadriven livsvetenskaplig forskning, i nära samarbete med centrala nationella och internationella partners. Medverka i vetenskaplig vägledning och utbildning av senior bioinformatikpersonal inom stödverksamhet. Genomföra avancerade dataanalyser och ge vägledning i nationellt prioriterade datadrivna forskningsprojekt inom livsvetenskap. Medverka i avancerade nationella forskarutbildningskurser och utbildningsinsatser. Kvalifikationer Vi söker dig som har: doktorsexamen eller motsvarande arbetslivserfarenhet inom bildanalys, bioinformatik, datavetenskap, ingenjörsvetenskap, fysik eller motsvarande område. omfattande erfarenhet (5+ år) av att tillämpa och/eller utveckla avancerade metoder inom maskininlärning och AI i internationellt konkurrenskraftig livsvetenskaplig forskning. mycket god muntlig och skriftlig kommunikationsförmåga på engelska. stark samarbets- och kommunikationsförmåga. Ytterligare kvalifikationer Relevant postdoktoral erfarenhet eller motsvarande erfarenhet från industrin är en stark merit men inget krav. Programmeringskunskaper i Python och erfarenhet av datavetenskapliga verktyg såsom Numpy, Pandas eller Matplotlib är meriterande, liksom erfarenhet av att använda moderna deep learning-ramverk såsom PyTorch och TensorFlow, eller avancerad användning av LLM:er. “Reproducerbar forskning” och “FAIR-data” är centrala begrepp för oss, och vi värdesätter erfarenhet av utveckling av reproducerbar kod genom plattformar för koddelning, versionshantering, arbetsflödesspråk och containerlösningar. Dokumenterad förmåga att ansvarsfullt och rättsenligt tillämpa maskininlärnings-och AI-metoder på känsliga personuppgifter är meriterande, liksom erfarenhet av validering och tolkning av AI-modeller. Om anställningen Anställningen gäller tills vidare på heltid med sex månaders provanställning. Stockholms universitet tillämpar individuell lönesättning. Tillträde enligt överenskommelse. Vi erbjuder Hos oss får du dynamiken i samspelet mellan högre utbildning och forskning som gör Stockholms universitet till en spännande och kreativ miljö. Du arbetar i en internationell miljö och får förmånliga villkor. Arbetsplatsen är förlagd till SciLifeLab’s Stockholm campus i Solna. Stockholms universitet värnar om att vara en arbetsplats som är fri från diskriminering och ger lika rättigheter och möjligheter för alla. Kontakt Ytterligare information lämnas av Björn Nystedt, bjorn.nystedt@scilifelab.se eller Pär Engström, par.engstrom@scilifelab.se. Ansökan Du söker anställningen via Stockholms universitets rekryteringssystem. Du som sökande ansvarar för att ansökan är komplett och att den är universitetet tillhanda senast sista ansökningsdag. Anvisningar för sökande finns på webbsidan: att söka en anställning. Stockholms universitet bidrar till det hållbara demokratiska samhällets utveckling genom kunskap, upplysning och sanningssökande.

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.

Mpya Sci & Tech was created by and for people who love technology and science. We’re not here to do what everyone else is doing. We believe that real talent lies in individuals who dare to keep growing throughout their entire lives. With extensive experience and deep industry knowledge, we’ve built a forward-leaning and cutting-edge company—our way. At Mpya Sci & Tech, we believe in a sustainable working life where we build a culture together based on genuine involvement, eager curiosity, and the freedom to be yourself. Learn more at: www.mpyascitech.com . Mpya Sci & Tech is a company built by and for engineers. We have created a workplace where you as an employee are always at the center. In everything we do, we strive for a high degree of involvement and responsiveness to our employees’ thoughts about their future work and career. Together we build a strong, allowing, inclusive and curious culture with great conditions for you as an employee. We want you to have an assignment where you feel passion, develop and have balance in life. We are now looking for a Senior Data Engineer to join our Data team in Gothenburg Do you have experience building robust data platforms and pipelines that truly make a difference? Then you might be exactly who we are looking for. As a Senior Data Engineer at Mpya Sci & Tech, you will work with some of Gothenburg’s most exciting tech companies and organizations. Since we collaborate with clients of different sizes, across different industries and application areas, your preferences and skills will help shape your future assignments. We offer a role where you get to use your technical expertise and problem-solving skills, while having the freedom to influence both your assignments and your direction. What you will do Design and implement scalable data architectures and ETL/ELT pipelines Build and orchestrate reliable data workflows using modern tools for cloud data platforms, streaming and real-time analytic Take an active part in data quality, governance and security – making data trustworthy and AI-ready Collaborate with data scientists, ML engineers, developers and other specialists to create value from data Depending on the assignment, contribute to machine learning and AI initiatives – from feature pipelines and MLOps to bringing models into production We believe you have Several years of experience as a Data Engineer or in a similar role Strong skills in Python, SQL and distributed data processing such as Spark/PySpark Solid experience with modern cloud platforms such as Azure, AWS or GCP, and platforms like Databricks, Snowflake or Microsoft Fabric Experience with orchestration and transformation tools such as Airflow or dbt, and an engineering mindset including CI/CD, testing and infrastructure as code Experience with containerization and deploying applications in Kubernetes Curiosity about – or hands-on experience in – Data Science, Machine Learning or Generative AI is a plus The ability to take the lead in technical decisions and a strong interest in staying up to date within the field A prestigeless attitude, great commitment and a willingness to contribute to a good team spirit Fluent English, spoken and written – Swedish is a plus Who we are At Mpya Sci & Tech, we believe in a sustainable working life where we together build a culture where you can: Be Dedicated Be Brave and Curious Be Inclusive and Allowing We believe that real talent lies in individuals who dare to keep growing throughout their entire lives. With deep industry knowledge and extensive experience, we have built a forward-leaning and innovative company – our way. Applixcation Does this sound like an opportunity for you? Apply today via www.mpyascitech.com, or no later than August 16. Warm welcome with your application!

ABOUT THE ROLE The Machine Learning Engineer will join a newly formed team focused on MLOps and ML Engineering within the data science team. This role is crucial for uplifting the existing ML infrastructure into a robust, scalable, and production-ready system, specifically supporting the increasing needs of the company. The engineer will design, build, and maintain the infrastructure, tools, and processes required for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of machine learning models. This is a highly technical role that will interface with data scientists, data engineers, data architects and software engineers to ensure the reliability and performance of ML systems at scale. YOU WILL BE RESPONSIBLE FOR: ● Designing, implementing, and maintaining scalable MLOps pipelines for model training, testing, deployment, and monitoring. ● Building and managing the cloud infrastructure to host and serve real-time and batch machine learning models. ● Establishing robust model monitoring (drift, performance, data quality) and alerting systems to ensure operational health of ML services. ● Assisting and collaborating with Data Scientists to ensure production readiness of models, focusing on code optimization for low latency and performance. ● Developing high-quality, reusable MLOps tooling and best practices to drive efficiency across the entire ML lifecycle. ● Driving automation initiatives to minimize manual intervention in model deployment and management. ● Troubleshooting production issues, performing root cause analysis, and implementing preventative measures for ML systems. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: Essentials ● Mid-senior level experience in a Machine Learning Engineer, MLOps Engineer, or similar role. ● Strong proficiency in Python for data and ML workflows and infrastructure automation tools (e.g. Terraform) for scalable infrastructure provisioning. ● Extensive experience with cloud platforms ( we work with GCP) for building and deploying ML systems. ● Deep understanding of containerization technologies and CI/CD pipelines. ● Solid experience with ML experiment tracking, model registry, and feature store platforms. ● Experience working with high volume, complex data architectures and real-time processing. ● Experience with SQL for data access and pipeline integration. ● A strong foundation in computer science fundamentals, software engineering best practices, and system design. Most importantly, we are looking for a continuous learning mindset and passion for researching and adopting the necessary technologies to solve complex MLOps and ML Engineering challenges. Nice To Have ● Experience working with Google Cloud Platform (GCP) services, particularly Vertex AI for training, deployment, and monitoring of ML models. ● Familiarity with building and deploying LLMs in production environments at scale. WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS ● Hybrid work policy ● 4 weeks of Workation (T&C apply) ● 30 annual vacation days ● Occupational Pension ● 5,000 SEK wellness contribution annually ● Parental Leave Top-Up ● Possibility to enrol in a private health care insurance for both you and your partner ● 1,500 SEK equipment allowance ● Benify - benefits portal with many offers and discounts In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**

Vill du arbeta praktiskt med dataanalys, AI och Microsoft Fabric – och samtidigt hjälpa företag att förstå hur deras data kan skapa verkligt affärsvärde? Perceptric AI söker en nyfiken och driven praktikant inom dataanalys eller data science. Du kommer att arbeta i skärningspunkten mellan teknik, analys och kundnytta. Rollen passar dig som vill utveckla dina kunskaper inom modern dataanalys och samtidigt få erfarenhet av hur en AI-produkt används i verkliga kundprojekt. Om Perceptric AI: Perceptric AI är ett svenskt AI-bolag som utvecklar en plattform för enklare och snabbare dataanalys. Med hjälp av AI kan användare koppla sina datakällor, ställa frågor på vanligt språk och få fram analyser, visualiseringar, dashboards och datadrivna insikter – utan att behöva skriva all kod eller SQL manuellt. Plattformen kan även användas tillsammans med Microsoft Fabric för att arbeta med bland annat workspaces, lakehouses, notebooks, pipelines och dataflöden. Vårt mål är att göra avancerad dataanalys mer tillgänglig och hjälpa organisationer att snabbare gå från rådata till välgrundade beslut. Om rollen: Som Data Analyst / Data Scientist Intern kommer du att arbeta med kunddata och undersöka hur Perceptric AI kan användas för att lösa konkreta analysbehov. Du kommer exempelvis att koppla data från Microsoft Fabric till Perceptric AI, genomföra analyser, skapa visualiseringar och identifiera relevanta mönster och insikter. En viktig del av rollen är också att kunna förklara resultaten på ett tydligt sätt och visa kunder vilket värde plattformen kan skapa i deras verksamhet. Rollen kombinerar praktisk dataanalys med problemlösning, produktutveckling och kunddialog. Dina arbetsuppgifter kan bland annat innebära att: * Analysera data från kunders olika verksamhetsområden. * Koppla och arbeta med data från Microsoft Fabric, exempelvis Lakehouse och Warehouse. * Använda Perceptric AI för att utforska, bearbeta och visualisera data. * Skapa dashboards, analyser och presentationer anpassade efter kundens behov. * Formulera relevanta affärsfrågor och omvandla dem till konkreta analyser. * Kvalitetssäkra resultat, visualiseringar och AI-genererade analyser. * Identifiera trender, avvikelser, samband och möjliga förbättringsområden i kunddata. * Presentera resultaten på ett pedagogiskt sätt för både tekniska och icke-tekniska personer. * Hjälpa kunder att förstå hur Perceptric AI kan effektivisera deras analysarbete och förbättra deras beslutsfattande. * Samla in feedback från användare och bidra med idéer till produktens fortsatta utveckling. * Ta fram demonstrationer och konkreta användningsfall för olika typer av kunder och branscher. Vi söker dig som: * Studerar eller nyligen har studerat dataanalys, data science, statistik, systemvetenskap, industriell ekonomi, datateknik eller ett liknande område. * Har ett stort intresse för data, AI och affärsanalys. * Har grundläggande kunskaper i SQL. * Kan analysera data och dra slutsatser som är relevanta för en verksamhet. * Tycker om att presentera resultat och förklara komplex information på ett enkelt sätt. * Är självgående, initiativrik och bekväm med att testa nya lösningar. * Kommunicerar väl på svenska och engelska. Tyska är meriterande. Det är meriterande om du har erfarenhet av: * Microsoft Fabric. * Power BI eller andra BI- och visualiseringsverktyg. * Lakehouse, Data Warehouse eller moderna dataplattformar. * Datamodellering och semantiska modeller. * Machine learning, prognoser eller statistisk analys. * Azure, Databricks, Snowflake eller liknande plattformar. * Kundprojekt, presentationer eller konsultliknande arbete. Du behöver inte redan kunna allt. Det viktigaste är att du har en bra analytisk grund, är nyfiken på modern datateknik och vill utvecklas snabbt genom praktiskt arbete. Vad vi erbjuder Hos Perceptric AI får du möjlighet att: * Arbeta praktiskt med AI, dataanalys och Microsoft Fabric. * Få erfarenhet av verkliga kundbehov och affärsproblem. * Lära dig hur en modern AI- och analysprodukt utvecklas och används. * Arbeta nära teamet och få stort utrymme att påverka. * Utveckla både dina tekniska, analytiska och kommunikativa färdigheter. * Bygga konkreta projekt och användningsfall som stärker din framtida karriär. * Få insyn i hur ett ungt svenskt AI-bolag arbetar med produktutveckling och kundvärde. Praktisk information * Roll: Data Analyst / Data Scientist Intern * Omfattning: deltid enligt överenskommelse * Plats: Stockholm, med möjlighet till hybridarbete enligt överenskommelse Ansök via: https://perceptricapply.com/ Berätta gärna: * Varför du är intresserad av Perceptric AI. * Vilka erfarenheter du har av dataanalys, SQL, Python, Power BI eller Microsoft Fabric. Länka gärna till GitHub, portfolio, examensarbete eller andra projekt där du har arbetat med data. Urval och intervjuer sker löpande.

REQ# FEQ427R34 At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have:  * Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. * Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. * Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups. * Become a Big Data Analytics advisor on aspects of architecture and design. * Support your customers by authoring reference architectures, how-tos, and demo applications. * Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for: Familiarity working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.Ability to independently deliver a technical proposition, identify customers' pain-points, and explain important areas for business value to develop a trusted advisor skillset. * Code in a core programming language such as Python  Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform. * Experience diving deeper into solution architecture and Data Engineering. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Company description: "Founded in 1927, the Volvo Group Job description:  Data Scientist – Volvo Trucks Digital Management   Data Analytics & AI    Transport is at the core of modern society. At Volvo Trucks, you can use data science and AI to help shape the future of sustainable transport and infrastructure solutions. If you are passionate about turning data into business value, enjoy solving varied challenges, and want to work close to the business in a highly collaborative role, this could be a great opportunity for you.    The Role    We are looking for a Data Scientist to join Data Analytics & AI within Volvo Trucks Digital Management. In this role, you will work hands-on with data science and AI to solve real business challenges across Volvo Trucks. You will be part of a collaborative, skilled, and supportive team where advanced analytics, machine learning, and generative AI are applied to create meaningful impact.  This is a broad, hands-on role with a strong focus on collaboration and communication. You will work closely with business stakeholders across different parts of the organization, which means you need to be comfortable understanding business needs, challenging assumptions, translating technical concepts into clear insights, and building trust with people at different levels of technical understanding.  Your work will vary across projects, business areas, and technical challenges. One project may focus on predictive modeling, another on data exploration and experimentation, and another on generative AI or helping move AI solutions toward production. This variation is a core part of the role.  It is also a role for someone who enjoys working in a broad problem space. You do not need to know everything from day one. What matters most is a curious mindset, strong problem-solving ability, and a willingness to learn new domains, methods, and technologies over time. At Volvo Trucks, we value people who can grow into challenges, collaborate with others, and contribute across a wide range of issues.   What you will do  Apply data science and AI methods to real-world business problems  Work with advanced analytics, machine learning and generative AI  Collaborate closely with business stakeholders to understand needs and identify valuable use cases  Communicate methodologies, findings, and recommendations in a clear and transparent way, to build trust.  Work with a wide range of projects, data sources, and business contexts  Contribute throughout the lifecycle from exploration and prototyping to support with productionizing of AI solutions  Collaborate with colleagues across different domains  Continuously learn about the business, its information landscape, and the transport industry to create relevant and actionable solutions      Who are you   You are a curious and analytical person who enjoys solving problems and learning continuously in a fast-evolving field. You like working in close collaboration with others and are motivated by turning complex questions into practical business value.  You communicate clearly and bring a positive, proactive attitude to your work. As the role involves close interaction with business stakeholders, you should be comfortable explaining technical topics in a simple and engaging way, listening actively, and adapting your message to different audiences.    We believe you likely have:  A degree in computer science, statistics, engineering, or another relevant field  Experience using Python for data science, analytics and AI development  Good understanding of adjacent areas such as DevOps, APIs and data modeling  A collaborative mindset and the confidence to take on new challenges even when the path is not fully defined from the start  At least 2-3 years of work experience as a data scientist or relevant role  It is an advantage if you have experience with:  MLOps  Deployment and scaling of AI solutions  Cloud platforms such as Azure, AWS, or GCP

In this role, you will contribute to building next-generation capabilities for assessing battery health and lifetime, enabling smarter decisions across the lifecycle of electric vehicles—from first use to second-life applications. You will work closely with experts in data science, software, and engineering, bringing critical domain knowledge to ensure that battery insights are technically sound, interpretable, and actionable. What You Will Do Develop and validate methods for State of Health (SOH) and Remaining Useful Life (RUL) estimation for Li-ion batteries Analyze real-world vehicle and battery data to understand degradation behavior over time Interpret and explain battery aging based on factors such as: Temperature State of Charge (SOC) Depth of Discharge (DoD) Charging patterns and C-rate Load profiles and usage conditions Compare and evaluate on-board BMS health estimates vs. off-board analytical models Define confidence levels, limitations, and applicability of lifetime predictions Collaborate with cross-functional teams to ensure models are physically grounded and credible Translate battery health insights into practical recommendations for: Lifecycle planning Residual value and risk assessment Warranty and service strategies Second-life and reuse scenarios What We Are Looking For Strong background in Li-ion battery technology and degradation mechanisms Experience with battery lifetime assessment, including: Calendar aging Cycle aging Real-world usage effects Deep understanding of: SOH and RUL Capacity fade and resistance increase Performance degradation in field conditions Experience working with battery data from vehicles, BMS systems, or testing environments Ability to critically evaluate models and challenge assumptions Experience collaborating with data scientists, engineers, and business stakeholders Strong communication skills—able to explain complex battery behavior clearly Meriting Experience Experience with battery systems in electric vehicles (BEVs) Exposure to second-life, residual value, or warranty risk analysis Experience comparing BMS estimates with external models Basic ability to work with Python, SQL, or similar tools Background in high-utilization or commercial vehicle applications Education Degree in electrochemistry, battery technology, electrical engineering, materials science, or similar Advanced studies within energy storage systems are a plus Why Multiply Work on real-world electrification challenges with direct impact on sustainability and lifecycle efficiency Combine deep engineering knowledge with data-driven decision-making Collaborate in cross-functional teams spanning software, data, and systems engineering Contribute to building scalable capabilities for next-life battery use and optimization

Job Description WHAT YOU’LL DO Do what you love and help us drive change! As a Data Scientist at H&M, you’ll use machine learning, statistics and advanced analytics to solve complex business challenges within forecasting, planning and decision-making. Working closely with business and tech teams, you’ll turn large and complex data sets into insights and scalable solutions that create measurable business value. Contribute to the short- and long-term data science agenda within a product team Collaborate with business stakeholders and cross-functional partners to identify opportunities where data science can create value Collaborate with machine learning and data engineers to design, build and deploy forecasting and machine learning solutions that support business planning and optimisation. Help colleagues and stakeholders understand machine learning models, data-driven insights and the decisions they support. Explore large, complex data assets to uncover insights that drive business value Support the development of tools and frameworks for common machine learning needs like model traceability, feature reuse, and A/B testing Be part of a cross-functional agile team of engineers, data scientists and business experts developing machine learning solutions that support forecasting and planning across H&M. WHO YOU’LL WORK WITH You’ll join a collaborative, cross-functional team of highly skilled engineers, data scientists and business stakeholders. Together, you’ll develop machine learning solutions that help improve forecasting and decision-making across H&M. WHO YOU ARE We are looking for people with… A degree in applied mathematics, statistics, physics, engineering, machine learning or a similar field and a strong desire to keep learning Solid foundational knowledge of machine learning and statistics, with the ability to apply these concepts to real business problems Experience developing and evaluating machine learning models using Python and commonly used data science libraries Understanding of the machine learning lifecycle, from problem definition and experimentation to model evaluation and deployment Experience working in cross-functional and agile environments, collaborating with both technical and business stakeholders Experience working with time series data, forecasting or optimisation problems is beneficial And people who are… Comfortable working with cloud platforms, like Google Cloud Hands-on and eager to understand business needs and turn them into technical solutions Always looking for ways to automate and simplify, taking initiative to improve products Strong team players who are result-oriented and driven to challenge and innovate WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices and sustainable solutions. We want to liberate fashion for many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale and our knowledge to push fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all H&M brands in stores and online. In addition to our staff discount, all our employees are included in H&M Incentive Program (HIP). 30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit SEK 4,000/year Benify Benefits Portal Community with activities JOIN US Our uniqueness comes from a combination of many things: our inclusive and collaborative culture, our strong values and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. Please note: That due to summer holiday periods, there may be longer response times and some delays throughout recruitment process. That we are not offering relocation support for this role, therefor we are primarily looking for candidates who are already living and working in Sweden. We are committed to a recruitment process that is fair, equitable and based on competency. We therefore kindly ask you not to attach a cover letter in your application.

Job Description WHAT YOU’LL DO Do what you love and help us drive change! As a Data Scientist at H&M, you’ll use machine learning, statistics and advanced analytics to solve complex business challenges within forecasting, planning and decision-making. Working closely with business and tech teams, you’ll turn large and complex data sets into insights and scalable solutions that create measurable business value. Contribute to the short- and long-term data science agenda within a product team Collaborate with business stakeholders and cross-functional partners to identify opportunities where data science can create value Collaborate with machine learning and data engineers to design, build and deploy forecasting and machine learning solutions that support business planning and optimisation. Help colleagues and stakeholders understand machine learning models, data-driven insights and the decisions they support. Explore large, complex data assets to uncover insights that drive business value Support the development of tools and frameworks for common machine learning needs like model traceability, feature reuse, and A/B testing Be part of a cross-functional agile team of engineers, data scientists and business experts developing machine learning solutions that support forecasting and planning across H&M. WHO YOU’LL WORK WITH You’ll join a collaborative, cross-functional team of highly skilled engineers, data scientists and business stakeholders. Together, you’ll develop machine learning solutions that help improve forecasting and decision-making across H&M. WHO YOU ARE We are looking for people with… A degree in applied mathematics, statistics, physics, engineering, machine learning or a similar field and a strong desire to keep learning Solid foundational knowledge of machine learning and statistics, with the ability to apply these concepts to real business problems Experience developing and evaluating machine learning models using Python and commonly used data science libraries Understanding of the machine learning lifecycle, from problem definition and experimentation to model evaluation and deployment Experience working in cross-functional and agile environments, collaborating with both technical and business stakeholders Experience working with time series data, forecasting or optimisation problems is beneficial And people who are… Comfortable working with cloud platforms, like Google Cloud Hands-on and eager to understand business needs and turn them into technical solutions Always looking for ways to automate and simplify, taking initiative to improve products Strong team players who are result-oriented and driven to challenge and innovate WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices and sustainable solutions. We want to liberate fashion for many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale and our knowledge to push fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all H&M brands in stores and online. In addition to our staff discount, all our employees are included in H&M Incentive Program (HIP). 30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit SEK 4,000/year Benify Benefits Portal Community with activities JOIN US Our uniqueness comes from a combination of many things: our inclusive and collaborative culture, our strong values and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. Please note: That due to summer holiday periods, there may be longer response times and some delays throughout recruitment process. That we are not offering relocation support for this role, therefor we are primarily looking for candidates who are already living and working in Sweden. We are committed to a recruitment process that is fair, equitable and based on competency. We therefore kindly ask you not to attach a cover letter in your application.

Job Description WHAT YOU’LL DO Do what you love and help us drive change! As a Data Scientist at H&M, you’ll turn vast amounts of data into meaningful insights and solutions that make an impact on a global scale. You’ll collaborate closely with business and tech teams to solve complex problems using advanced analytics, modelling, and machine learning. Contribute to the short- and long-term data science agenda within a product team Collaborate with business stakeholders and cross-functional partners to identify opportunities where data science can create value Collaborate with machine learning and data engineers to design, build, and deploy machine learning products that scale globally Help colleagues and stakeholders understand algorithms and decisions made by AI systems Explore large, complex data assets to uncover insights that drive business value Support the development of tools and frameworks for common machine learning needs like model traceability, feature reuse, and A/B testing Be part of a cross-functional agile team of engineers, data scientists and business experts building H&M’s AI ecosystem WHO YOU’LL WORK WITH You’ll join a collaborative, cross-functional team of highly skilled engineers, data scientists and business stakeholders. Together, you’ll build innovative AI solutions that support H&M’s transformation and create value for millions of customers worldwide. WHO YOU ARE We are looking for people with… A degree in applied mathematics, statistics, physics, engineering, machine learning or a similar field and a strong desire to keep learning Solid foundational knowledge of machine learning and statistics, with the ability to apply these concepts to real business problems Experience developing and evaluating machine learning models using Python and commonly used data science libraries Understanding of the machine learning lifecycle, from problem definition and experimentation to model evaluation and deployment Experience working in cross-functional and agile environments, collaborating with both technical and business stakeholders And people who are… Comfortable working with cloud platforms, like Google Cloud Hands-on and eager to understand business needs and turn them into technical solutions Always looking for ways to automate and simplify, taking initiative to improve products Strong team players who are result-oriented and driven to challenge and innovate WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices and sustainable solutions. We want to liberate fashion for many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale and our knowledge to push fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employees attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all H&M brands in stores and online. In addition to our staff discount, all our employees are included in H&M Incentive Program (HIP). 30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit SEK 4,000/year Benify Benefits Portal Community with activities JOIN US Our uniqueness comes from a combination of many things: our inclusive and collaborative culture, our strong values and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. Please note: That due to summer holiday periods, there may be longer response times and some delays throughout recruitment process. That we are not offering relocation support for this role, therefor we are primarily looking for candidates who are already living and working in Sweden. We are committed to a recruitment process that is fair, equitable and based on competency. We therefore kindly ask you not to attach a cover letter in your application.

Company description: Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm." Job description:  Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport solutions for the future? If you seek to make a difference on a global scale, working with next-gen technologies and the sharpest collaborative teams, then we could be a perfect match.   Your future team You will join the Data Science team composed of 35+ Data scientists and Machine Learning Engineers. You will work in an international environment, collaborating with colleagues across disciplines to deliver end-to-end data and AI products used globally. You will report to the Chapter Lead France or Sweden (depends one where you’ll be located). The AI Solution Engineer position will be located in Lyon or in Gothenburg and we are looking for several profiles in both locations. All positions are permanent contract in both locations.   What you will do At Volvo Group Digital Technology & Operations (DTO), you will contribute to the transformation of our company, the transport industry and society at large. In this role, you will enable the engineering of production-grade machine learning solutions, from understanding real business needs to industrializing, operating, and continuously improving ML and AI products at scale. You will collaborate with international stakeholders and product teams across Volvo Group domains, and take ownership of key technical decisions, architecture, and lifecycle management, including CI/CD, service deployment, orchestration, containerization, MLOps and model serving, while ensuring solutions align with security, governance, and regulatory requirements.    Who are you? Do you dream big? We do too, and we are excited to grow together. In this role, you will bring: Essential requirements  •    Strong programming skills with Python•    Hands-on experience with cloud engineering and platforms such as AWS, Azure, Google Cloud•    Solid experience with containerization and orchestration tools (e.g. Docker, Podman, Terraform)•    Strong experience with CI/CD (e.g. Azure Pipelines, Github Actions), deployment strategies, and git branching practices.•    Strong understanding of data science, machine learning and AI, including mathematical statistics•    Experience with microservices architecture and API development Nice to have•    Master key aspects of data science, machine learning and AI, including mathematical statistics•    Deep experience with LLMs, including retrieval, prompt engineering, evaluation, safety and cost performance tuning•    Experience delivering ML and AI in regulated environments with governance and audit requirements•    Domain experience with vehicle data, diagnostics, telematics, or quality and warranty analytics•    Leadership experience such as owning ML products end to end, mentoring, or leading practitioner communities   What’s in it for you?We offer a solid package of compensation and benefits, plus you will enjoy:•    A role where you can create measurable impact through Data and AI, including contributions to sustainability goals•    A collaborative, international community with 900+ data colleagues across seven countries•    Strong opportunities to grow through global, cross-functional work and end-to-end product ownership•    A culture that values openness, diversity in expertise and perspective, and co-creation   Ready for the next move?If you want to make a real impact in your career, the transportation business is where you want to be. We look forward to meeting you.   Swedish Union representatives:•    Akademikerna – Mikael Johansson, +46 73 902 34 30•    Unionen – Lajla Dahlsjö, +46 31 322 45 75•    Ledarna – Carina Sachade, +46 73 902 40 83 Last application date: 01 August 2026 We review applications and interview candidates on a rolling basis, so do not wait to apply. Please note that, due to the summer holiday period, our recruitment process may take a little longer than usual. We appreciate your patience and will get back to you as soon as possible. We value your data privacy and therefore do not accept applications via mail. In some countries and specific positions, background checks may be required, in accordance with local laws and regulations. If this is applicable to the role you have applied for, you will be informed.   Who we are and what we believe inWe are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group’s leading brands and entities.Applying to this job offers you the opportunity to join Volvo Group. Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Volvo Group Digital Technology & Operations (DTO) is a new division established to integrate the capabilities of VG Digital & IT and VG Connected Solutions to accelerate the digital transformation in Volvo Group. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.

Job Description WHAT YOU’LL DO​ As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. ​ WHO YOU’LL WORK WITH​ You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. ​ ​ WHO YOU ARE​ We are looking for people with…​ ​A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are…​ Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools​ Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive ​Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. WHO WE ARE​ H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make.​ ​ We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. ​ ​ WHY YOU’LL LOVE WORKING HERE ​ At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. ​ We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. ​30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify Benefits Portal Community with activities JOIN US​ Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are.​ Take the next step in your career together with us. The journey starts here.​ *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

AI-utvecklare inom militära ledningssystem Vill du arbeta i teknikens framkant och bidra till utvecklingen av avancerade system inom försvar och säkerhet? Vi söker nu en AI-utvecklare som vill vara med och utveckla framtidens militära ledningssystem. Sök redan idag! Om rollen Som AI-utvecklare får du en central roll i utveckling och vidareutveckling av mjukvara i komplexa systemmiljöer. Du arbetar nära andra utvecklare, systemingenjörer och säkerhetsspecialister i en miljö med höga krav på kvalitet, säkerhet och innovation. Arbetsuppgifter Utveckla mjukvara med stöd av AI inom militära ledningssystem Träna, utvärdera och förbättra AI-modeller Arbeta med systemdesign och kravhantering inom mjukvaruutveckling Bidra i hela utvecklingskedjan – från krav till implementation Kvalifikationer Skallkrav Civilingenjörsexamen eller motsvarande inom mjukvara, data science eller AI 1–2 års relevant arbetslivserfarenhet Mycket goda kunskaper i svenska och engelska, i tal och skrift Säkerhetsprövning Tjänsten är placerad i säkerhetsklass. Säkerhetsprövning kommer att genomföras innan anställning enligt gällande säkerhetsskyddsbestämmelser. Vissa krav på medborgarskap gäller för rollen. Meriterande Erfarenhet av AI-stödd utveckling i GitLab eller liknande miljöer Kunskap om IT-säkerhetsstandarder (t.ex. NIST, Common Criteria) Erfarenhet av datacentrisk systemutveckling Erfarenhet av ontologier inom datacentriska system DevSecOps-miljöer Vi söker dig som Är analytisk och strukturerad i ditt arbetssätt Trivs i komplexa tekniska miljöer Har ett intresse för säkerhet och robusta system Är samarbetsinriktad och kommunikativ Om vår kund Vår kund är ett ledande försvars- och säkerhetsföretag med uppdrag att hjälpa nationer att skydda sin befolkning och bidrar till trygghet för människor och samhällen. Med 19 000 talangfulla medarbetare utvecklar dem teknik och lösningar för en säkrare, mer hållbar och mer rättvis värld. Om oss på Framtiden AB Vi på Framtiden arbetar med både bemanning och rekrytering, vi vill göra skillnad i människors liv. Skillnad gör vi genom att hjälpa människor att hitta rätt jobb och rätt kollega. Vi är specialister på att rekrytera rätt talanger till rätt företag. Framtiden finns på sju orter i Sverige. För denna tjänst kommer du under en inledande period vara anställd genom oss på Framtiden. Rekryteringsprocess Cv granskning ->Telefonintervju-> Intervju med Framtiden ->Referenstagning ->Intervju med kund->Säkerhetsprövning Praktisk information • Placering: Solna strand • Arbetstider: Kontorstid • Start: enligt överenskommelse OBS! På grund av semestertider kommer vi att påbörja urvalet av kandidater i slutet av augusti. Vi uppmuntrar dig att skicka in din ansökan redan idag, så återkommer vi så snart rekryteringsprocessen är igång. Urval sker löpande från slutet av augusti. Vi ser fram emot din ansökan!

Business Analyst – Digital Solutions  Vi söker nu en erfaren Business Analyst för ett spännande uppdrag till en av våra kunder inom Digital Solutions. I rollen ansvarar du för att leda initiativ från idé och kravställning till utveckling, implementation och driftsättning. Du fungerar som länken mellan verksamhet, ledning och leveransteam och säkerställer att projekt genomförs enligt plan, budget och uppsatta mål. Arbetsuppgifter Leda initiativ genom hela livscykeln – från kravinsamling och design till utveckling, implementation och överlämning. Definiera projektets omfattning, tidplan, budget och riskhanteringsplan. Planera aktiviteter, resurser och tidslinjer för ett effektivt genomförande. Säkerställa processer för kvalitet, scope management och riskhantering. Följa upp projektens framdrift, ekonomi och leveranser samt vidta korrigerande åtgärder vid behov. Ta fram och presentera statusrapporter och beslutsunderlag för ledning och intressenter. Hantera förändringar och säkerställa att överenskomna leveranser uppfylls. Bygga och utveckla goda relationer med verksamheten och andra intressenter genom tydlig och regelbunden kommunikation. Samarbeta nära Solution Team Lead och övriga teammedlemmar. Identifiera och hantera risker och hinder för att säkerställa projektens framgång.AI-lösningar Automatisering Digitala lösningar Data Engineering eller Data Science IT-lösningar Vi söker dig som har Minst 5 års erfarenhet av att leda projekt och/eller projektportföljer inom något av följande områden: Gedigen erfarenhet av projekt- och portföljstyrning. God förståelse för Agile och Scaled Agile arbetssätt. Praktisk erfarenhet av Jira och ServiceNow. Kunskap om SAFe och ITIL. Akademisk examen inom datavetenskap, data science, ekonomi, ingenjörsområde eller motsvarande relevant erfarenhet. Personliga egenskaper Vi söker en senior Business Analyst med mycket god kommunikativ förmåga. Du är van att arbeta nära ledning och intressenter, kan förenkla komplexa frågeställningar och fatta välgrundade beslut baserade på fakta och data. Du är en naturlig ledare som skapar förtroende, tydlighet och engagemang. Med ett samarbetsinriktat arbetssätt driver du initiativ framåt och säkerställer att tvärfunktionella team levererar resultat. Kan detta vara ett uppdrag som passar dig? Sök redan i dag eller kontakta oss så berättar vi gärna mer. Vi behöver en ansökan inkluderat CV  och personligt brev på svenska som matchar vår kunds krav. Kunden kan fatta beslut tidigare än sista ansökningsdatum, urval och intervjuer sker löpande. NXT Interim och NXT Rekrytering är ett nischat och innovativt företag som är verksamma inom konsult och rekryteringsbranschen.  Vi är verksamma inom HR, IT, Ekonomi, Sälj och Marknad och har över 20 års erfarenhet i branschen. Vi erbjuder våra konsulter bl.a sjukförsäkring, remote-arbetsplatser och flera andra förmåner som förgyller deras vardag. Vid anställning tillämpar vi kollektivavtal.