Senior Data Scientist - Energy Forecasting & Trading, Hybrid

Flower Technologies AB; Stockholms kommun; Hybrid; SEK 558,000 - 781,200; Full time

Job summary

A next-gen energy company is seeking a Senior Data Scientist to lead the development of short-term forecasting models that impact trading decisions. You will collaborate with a skilled team to manage the model lifecycle, from concept to production in a hybrid work environment. The ideal candidate has over five years of experience with machine learning and time-series models, strong Python and SQL skills, and a passion for sustainable energy solutions. Join us to make a difference in the energy sector.

Qualifications

• 5+ years building and deploying ML/time-series models in production.
• Strong Python and SQL skills; able to write clean, maintainable code.
• Deep understanding of time-series forecasting and modeling challenges.

Responsibilities

• Build and maintain forecasting models for energy volumes and prices.
• Conduct EDA, feature engineering, model development, validation, and deployment.
• Collaborate and mentor across data scientists and engineers.

Skills

Machine Learning

Time-series modeling

Python

SQL

Data-driven decision making

Job description

A next-gen energy company is seeking a Senior Data Scientist to lead the development of short-term forecasting models that impact trading decisions. You will collaborate with a skilled team to manage the model lifecycle, from concept to production in a hybrid work environment. The ideal candidate has over five years of experience with machine learning and time-series models, strong Python and SQL skills, and a passion for sustainable energy solutions. Join us to make a difference in the energy sector.