Senior Data Scientist
At a glance
Senior Data Science role at H&M Group. Stockholm · full-time.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Take markdown models from problem framing and data exploration through deployment, upkeep and production decisions
- Build and run machine-learning models and pipelines on GCP Vertex AI, then evaluate, monitor and refine them
- Use statistical analysis and machine learning to inform product choices and business decisions
- Investigate data, share clear findings, and work with business specialists and the product manager on roadmap needs
- Improve shared ML practices and explore agentic AI approaches for running experiments
What you bring
- A bachelor’s or master’s degree in statistics, engineering, computer science or a related discipline
- Strong working knowledge of statistics and machine learning, with practical experience building and deploying AI applications
- Proficiency in Python and tools such as LightGBM, CatBoost, scikit-learn or comparable libraries
- Experience with MLOps, CI/CD, model monitoring, SQL and DBT or similar data transformation tools
Who this fits
This senior role suits someone who can own model work from initial analysis through ongoing production support and communicate findings to business and product colleagues. The position is based in Stockholm with a hybrid arrangement. Applicants must live and work in Sweden; relocation is not available.
From the employer
WHAT YOU’LL DO
The Markdown Retail (MDR) team builds the models and pipelines that decide when and how much to discount articles during sale, across our stores and markets. These decisions affect sell-through and revenue in every market we operate in and frees up space for new collections. As a Senior Data Scientist on the team, you will work on this problem end to end, from the data and the model to the decision it drives in production, with a direct impact on business outcomes. You'll also help shape how we use agentic AI to run experiments and move faster toward that goal.
More specifically you will:
- 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 machine learning models and pipelines in production on GCP (Vertex AI), 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.
- Work closely with business experts and product manager to translate business needs and help building a product roadmap.
- Contribute to technical standards, best practices, and knowledge sharing within the data science and ML community.
WHO YOU’LL WORK WITH
You will work in a cross‑functional team together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science and ML community, collaborating with other data scientists and ML engineers to share knowledge, align on best practices, and continuously improve how data science, ML and agentic AI is applied across the organization.
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.
- Hands-on experience building and deploying AI applications, including machine learning models, optimization/decision systems, and agentic workflows with a strong focus on rigorous experimentation design, evaluation against business KPIs, and measurable impact.
- Strong proficiency in Python and machine learning frameworks such as LightGBM, CatBoost, scikit-learn, or similar libraries.
- Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally on GCP (Vertex AI).
- Experience with DBT or similar data transformation tools and SQL.
And people who are…
- Knowledgeable in evaluation methods for business impact.
- 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
- 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.