OverviewData Scientist

Energy Markets

Location: Edinburgh Hybrid (c.2 days a week in the City Centre Office)

Type: Permanent

Salary: Competitive + Bonus and exceptional benefits

What You''ll Do

Lead the development of short-term energy forecasting models, starting in GB and expanding across Europe.

Enhance and evolve the existing forecasting suite in collaboration with traders and market specialists.

Work closely with developers and consultants in an agile, cross-functional environment.

Apply cutting-edge machine learning techniques to improve forecasting accuracy and usability.

Tech Environment

Programming: Python, C#, front-end web technologies

Infrastructure: Microsoft Azure

Modelling Approaches: Machine learning, optimisation, stochastic and agent-based models

About You

Experience in the energy sector - markets, trading, forecasting, etc.

Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

Knowledge of GitHub/Azure DevOps and SQL advantageous.

Excellent communicator, able to explain technical concepts to non-technical audiences.

Degree (or equivalent experience) in a numerical or computer science subject.

Collaborative, customer-focused, and motivated to solve complex problems.

What''s In It For You

Hybrid working and flexible arrangements.

26 days annual leave plus bank holidays

Bonus Scheme

Discount Schemes

Medical Insurances

Volunteering opportunities and green initiatives, including an EV salary sacrifice scheme.

Lots of extras!

Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of and in our industry.

TPBN1_UKTJ

#J-18808-Ljbffr