Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist - London

FDM Group
London
1 week ago
Create job alert

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.
#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Consumer Credit

Senior Data Scientist

Senior Data Scientist Consumer Credit

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.