Data Scientist

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.

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.