Data Scientist

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.

About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will join a data-driven environment where optimization and analytics play a central role in improving decision-making. In this role, you will work hands-on with production-grade optimization models and help evolve them from robust analytical tools into scalable, reliable solutions used in practice. The work spans the full flow from data wrangling and model development to deployment, monitoring, and stakeholder dialogue. You will operate in a cross-functional setting and help connect business needs with technical solutions in a domain where complex data, cloud platforms, and advanced modeling come together. This is a strong opportunity for you who enjoy combining discrete optimization, machine learning, and production-ready engineering in one role. Job DescriptionYou will maintain and improve existing optimization models by identifying weaknesses, refining logic, and scaling performance. You will develop and support production-grade solutions for optimization and analytics, with a focus on robustness, maintainability, and efficiency. You will prepare, transform, and enrich data by improving data wrangling pipelines and integrating additional data sources. You will present model outputs and analytical insights to stakeholders and translate business needs into technical approaches. You will monitor and maintain deployed solutions on GCP to ensure stable and efficient performance over time. You will collaborate closely with Data Scientists, ML Engineers, and Product Managers to improve model reliability, scalability, and impact. You will contribute to deployment, monitoring, and lifecycle management practices for machine learning models. You will perform ad hoc analyses and build visualizations that support data-driven decisions across teams. RequirementsStrong experience with discrete optimization models, including Linear Programming, Integer Programming, or Mixed Integer Programming. Proven experience developing and deploying machine learning models in the cloud, preferably on GCP. Solid Python skills and the ability to write clean, efficient, modular, production-ready code that is easy to maintain and test. Strong SQL skills for data manipulation and analysis. Experience building robust data wrangling, aggregation, and preparation pipelines across diverse data sources. Familiarity with DBT for data transformation. Ability to work effectively in Agile, cross-functional teams. You communicate clearly with both technical and non-technical stakeholders and are comfortable working in complex problem domains. Nice to haveHands-on experience with MLOps and CI/CD pipelines. Experience working with Google Cloud Platform in production environments. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.