Skip to content
Updated How AI-exposed are the skills employers are hiring for? See the data →

From the employer's careers site First seen 1 Nov 2026

Data Scientist

The employer hasn't listed a salary.

Apply on Shell

Description

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

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

The successful candidate will support the Power Fundamentals team in building and productionising time series forecasting and optimisation models. They will work closely with domain experts to understand the fundamentals of the power market and translate this into a mathematical model.

Responsibilities:

  • Prepare, process, clean and visualize various kinds of power, gas, and weather data sets
  • Develop, analyse, and conduct different approaches to forecasts different variables
  • Statistical evaluation and validation of different types of forecasts
  • Build the framework to deploy models in production
  • Share this framework with the rest of the team
  • Participate in the conception and development of a computational environment
  • Develop in-house optimisation models
  • Bring new ideas of models to improve the desk P&L
  • Delegate and lead some models and infrastructures projects

Requirements:

  • Graduate qualification in an analytical or science-based discipline
  • End-to-end experience with data, including querying, aggregation, analysis, and visualization
  • Strong competencies in Python for data analysis
  • Strong SQL skills for data retrieval and data cleansing
  • Familiarity of cloud architecture
  • Self-starter who is commercially aware and value-focused
  • Good communication skills

Preferred skills:

  • Algorithmic complexity theory
  • Parallelism & Concurrency
  • Experience with messaging and or data streaming technologies
  • Experience in containerising models and deploying in Kubernetes
  • Knowledge of linear algebra, calculus, and discrete mathematics

Benefits:

  • Progress as a person while working on the energy transition
  • Continuously grow transferable skills
  • Work at the forefront of technology, trends, and practices
  • Collaborate with experienced colleagues
  • Achieve balance in a values-led culture
  • Flexible working options
  • Competitive starting salary and annual performance-related salary increase
  • Paid parental leave
  • Access to training and development programmes

Skills

Required

Nice to have

  • Algorithmic Complexity Theory
  • Parallelism & Concurrency
  • Kafka
  • Kubernetes
  • Linear Algebra
  • Calculus
  • Discrete Mathematics

Ready to apply?

You apply with the employer directly. Their original posting is here: https://shell.wd3.myworkdayjobs.com/en-US/ShellCareers/job/London-York-Road/Energy-Analyst_R201954

Apply on Shell