Senior Data Scientist: Energy Forecasting & Trading

Flower Infrastructure Technologies AB; Stockholms kommun; Hybrid; SEK 600,000 - 800,000; Full time

Job summary

A next-gen energy company is seeking a Senior Data Scientist to shape forecasting capabilities and drive trading decisions. The role entails building and maintaining operational forecasting models, collaborating with a skilled team, and leveraging Python and SQL for model development. Ideal candidates have a Master's or PhD in a quantitative field, 5+ years of experience in ML/time-series models, and a passion for renewable energy. This position is hybrid, located in Stockholms län, encouraging collaboration within a diverse team.

Qualifications

• 5+ years building and deploying ML/time-series models in production.
• Strong Python + SQL; comfortable writing maintainable production-ready code.
• Deep understanding of time-series forecasting and complex datasets.

Responsibilities

• Build & maintain short-term operational forecasting models for energy volumes & prices.
• Prototype quickly; iterate on models, validate rigorously.
• Own the full model lifecycle from idea to production.

Skills

Python

SQL

Time-series forecasting

Machine learning

Data-driven mindset

Education

Master’s or PhD in a relevant quantitative field

Job description

A next-gen energy company is seeking a Senior Data Scientist to shape forecasting capabilities and drive trading decisions. The role entails building and maintaining operational forecasting models, collaborating with a skilled team, and leveraging Python and SQL for model development. Ideal candidates have a Master's or PhD in a quantitative field, 5+ years of experience in ML/time-series models, and a passion for renewable energy. This position is hybrid, located in Stockholms län, encouraging collaboration within a diverse team.