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Senior Data Scientist - London

FDM Group Ltd.
London
3 days ago
Applications closed

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About The Role

FDM is a global business and technology consultancy seeking a Senior Data Scientist to work for our client within the energy sector. This is initially a 6-month contract with the potential to extend and will be a hybrid role based in London.

Our client is seeking a Senior Data Scientist to join their Fundamentals Modelling & Innovation (FM&I) team, who are committed to developing cutting-edge fundamentals models and analytical tools that drive smarter, faster, and more holistic commercial decisions across their trading and supply (T&S) business. You will be part of a dynamic, cross-disciplinary squad that works directly with traders, market strategists, and commercial partners to deliver actionable insights, improve modelling processes, and influence strategy in global energy markets.

Responsibilities

  • Deliver robust, commercially relevant modelling and analysis to unlock insights across low-carbon, power, gas, and oil markets
  • Develop and maintain fundamental balance and pricing models, leveraging advanced statistical techniques and industry best practices
  • Engage closely with traders, analysts, and market strategists to translate complex data into actionable insights that drive trading performance
  • Identify and automate repetitive processes, creating scalable, reusable modules across analytics projects
  • Monitor developments in internal statistical techniques and external market dynamics, embedding innovation and continuous improvement into all solutions
  • Serve as a subject matter expert, sharing knowledge and building capability across the trading analytics community
  • Present analysis and recommendations to stakeholders, influencing high-impact commercial decisions

About You

Requirements

  • Minimum of 3 years’ experience in data science, ideally within a commercial or trading environment
  • Proficiency in time series analysis, regression modelling, and forecasting techniques
  • Strong experience with Python and core libraries for data science (e.g., pandas, NumPy, scikit-learn, statsmodels)
  • Ability to manipulate and analyse large, complex datasets with attention to detail
  • Clear, confident communicator who can explain analytics and influence commercial decisions
  • Experience using visualisation tools like Power BI or Plotly Dash
  • Proven ability to work independently in a fast-paced, high-stakes trading environment

Desirable:

  • Knowledge of global energy markets and trading operations
  • Understanding of supply and demand fundamentals and their impact on physical and financial instruments
  • Experience building models in collaboration with traders or commercial stakeholders
  • Exposure to data engineering practices and data science platforms (e.g., Dataiku)
  • Familiarity with SQL and developing robust data pipelines
  • Experience working in Agile squads or cross-functional teams

About Us

Why join us

  • Career coaching, mentoring and access to upskilling throughout your entire FDM career
  • Assignments with global companies and opportunities to work abroad
  • Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
  • Annual leave, work-place pension and BAYE share scheme

About FDM
We are a business and technology consultancy and one of the UK's leading employers, recruiting the brightest talent to become the innovators of tomorrow. We have centres across Europe, North America and Asia-Pacific, and a global workforce of over 3,500 Consultants. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer and is listed on the FTSE4Good Index.

Diversity and Inclusion
FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.


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