Forecasting & ML Data Scientist

H & M Hennes & Mauritz Sverige AB; Stockholms kommun; On-site; SEK 700,000 - 900,000; Full time

Benefits offered by this job

25% staff discount on all H&M brands

30 days holiday

Pension and life insurance scheme

HIP – H&M Incentive Program

Wellness benefit SEK 4,000/year

Benify Benefits Portal

Community with activities

Job summary

H&M Group is seeking a Data Scientist to leverage ML and analytics for forecasting and planning across the business. You will turn large datasets into insights, collaborating with engineers, data scientists and stakeholders to drive measurable value.

You will work with time series data, build and deploy forecasting solutions, and help scale data products that support strategic decisions. The role emphasizes learning, automation, and cross-functional teamwork.

Qualifications

• Degree in applied mathematics, statistics, physics, engineering, ML or a related field.
• Solid ML and statistics foundation with practical application to business problems.
• Experience building and evaluating ML models in Python with common libraries.
• Understanding of the ML lifecycle from problem framing to deployment.
• Experience working with cross-functional, agile teams.
• Experience with time series forecasting or optimization is a plus.

Responsibilities

• 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.

Skills

Python

Time series forecasting

Machine learning lifecycle

Cross-functional collaboration

Agile / Scrum

Cloud platforms (Google Cloud)

Data storytelling

Education

Degree in applied mathematics, statistics, physics, engineering, machine learning or a similar field

Job description

H&M Group is seeking a Data Scientist to leverage ML and analytics for forecasting and planning across the business. You will turn large datasets into insights, collaborating with engineers, data scientists and stakeholders to drive measurable value.

You will work with time series data, build and deploy forecasting solutions, and help scale data products that support strategic decisions. The role emphasizes learning, automation, and cross-functional teamwork.