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 the following skills and experience.
- 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.
- Strong 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
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.
BENEFITS
- All employees receive a 25% staff discount usable on all our H&M Group brands in stores and online.
- All employees are included in our H&M Incentive Program - HIP.
- 30 days holiday.
- We offer a collective agreement which includes pension and life insurance.
- Wellness benefit 4000kr/year (from Jan 1, 2026).
- Benify Benefits Portal.
- Community with activities.
LOCATION
Årstaängsvägen, Stockholm, Sweden