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Stockholm, Sweden💼 Full-time🗓 2026-07-28 → 2026-09-26

Core

Use machine learning, statistics, and advanced analytics to solve complex business challenges in forecasting, planning, and decision-making for H&M.

Role type

Data Scientist (Forecasting & Planning)

Builds

Scalable forecasting and machine learning solutions for business planning and optimization

Domain

Retail / Fashion / Time Series Forecasting

Deliverable

production ML models

Required skills

Machine learning, statistics, Python, data science libraries, time series data, forecasting, optimization, model evaluation, deployment, cloud platforms

Preferred skills

Google Cloud, automation, cross-functional collaboration

Technologies

Python, Google Cloud

Responsibilities

Design, build, and deploy forecasting and machine learning solutions; collaborate with business stakeholders to identify data science opportunities; develop tools and frameworks for model traceability, feature reuse, and A/B testing; help stakeholders understand machine learning models and insights.

Seniority

Mid-level, hands-on IC

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