Data Scientist

Energy Analyst

Locations

London York Road

Posted Today

Job requisition id R201954, United Kingdom

Job Family Group: Trading Jobs Worker Type: Regular

Posting Start Date: August 1, 2026

Business Unit:

Experience Level: Experienced Professionals

Job Description:

What’s the role

Shell Energy Europe & Environmental Products is seeking a Data Scientist to work within the Market Analysis team to develop and improve our forecasting models.

Accurate forecasting of market fundamentals is critical to improved decision making on the trading desk. The analysis team develop and run a wide range of forecasts, using different methods such as machine learning, optimisation.

What you’ll be doing

Shell Energy Europe is looking to hire a data scientist to support the Power Fundamentals team in building and productionising time series forecasting and optimisation models (stochastic optimisation, dynamic programming, LP/MILP models, etc). This person will have an enthusiasm to learn the inner working of the power market by working in close collaboration with domain experts. They must be able to understand the fundamentals of the power market and translate this into a mathematical model. This requires taking a pragmatic approach to model development, starting with a simple model, and iteratively adding complexity – driven by adding business value in a high-pace environment. This person must be a strong programmer, who is confident in productionising models in the cloud (Azure/AWS) and is comfortable in designing and implementing data ingestion and model deployment pipelines.

Responsibilities

• Prepare, process, clean and visualize various kind of power, gas, and weather data sets to establish a basis of further analysis.

• Develop, analyse, and conduct different approaches to forecasts different variables (Demand, wind, solar, prices).

• Statistical evaluation and validation of different types of forecasts.

• Build the framework to deploy models in production that will be use every day for trading decisions.

• Share this framework with the rest of the team to increase the performance of the rest of the team developments.

• Participate to the conception and development of a computational environment which enable scalability and high computational power.

• Develop in house optimisation models (stack models, dispatch models).

• Bring new ideas of models to improve the desk P&L.

• Delegate and lead some models and infrastructures projects done by teams of high technical people in IT and modelling.

• What we need from you

Your technical skills and experience:

• Have a graduate qualification in an analytical or science-based discipline e.g., engineering/maths/computer science and ideally a PhD in machine learning, optimisation or equivalent
• End-to-end experience with data, including querying, aggregation, analysis, and visualization
• Strong competencies in Python for da