Senior Data Scientist - Energy Trading

Location London
Discipline: Trading & Route-To-Market
Contact name: Charlie Nott

Contact email: c.nott@mintselection.com
Published: 24 days ago

Senior Data Scientist – Energy Trading

Location: London

Mint Selection is partnered with a market-leading energy trading and investment firm. Headquartered in the UK with offices in the US and Europe, the company specialises in physical and financial energy trading, deploying expertly crafted algorithms, advanced ML models and time series forecasting to build and optimise systematic trading strategies.

Description:
The Data Science team has an impact across the whole business but is specifically focused on trading. You can expect to optimise trading strategies, apply data science workflows to improve operational efficiency, support risk mitigation projects and deliver actionable insights from large, often complex data sets.

You will engage directly with end users and business stakeholders, including Portfolio Managers, traders, quants and C suites, often having to get hands-on with the data and understand what, how and why around the data usage and internal models.

Main responsibilities:

  • Deliver end-to-end data science solutions for users from data ingestion through to production using advanced analytics/machine learning models using both commercial tools and custom coding.

  • Explore and standardise new data sets, extract actionable insights, produce visualisation and create predictive models.

  • Deploy mathematical and statistical fundamentals to improve ML applications.

  • Develop and fine-tune algorithms specifically designed for proprietary trading strategies.

  • Help drive alpha for users by assisting with identifying and backtesting of new data sets.

About you:

  • Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field of study

  • 4+ years in industry working as a data scientist with machine learning models applied to real-world data

  • Excellent Python experience, able to write clean, modular and well-documented code

  • A strong understanding of machine learning algorithms, statistical methods and Time Series Modelling.

  • Exceptional communication skills, with the capability to simplify complex data insights.

  • Experience presenting complex data visually to a wide audience (plotly, bokeh, etc.)

Mint Selection is a trusted Clean Energy Recruitment Specialist with an extensive network and deep sector knowledge. We are an independent who support our clients and candidates through the full life cycle of Energy project, development, build, finance, and operations. We’re known for building high performance teams that cover analyst to senior leadership, executive and Director level appointments.

Our recruitment strengths lie within the clean energy market, providing the latest energy jobs in; Renewable Energy (Wind Power, Solar PV, Wave & Tidal, Hydro, Biomass, Waste-to-energy, Geothermal, CHP), Battery Energy Storage, Fast Response, Hydrogen Production & Storage, Cleantech, Demand Response / Flexibility, Transmission & Distribution, Electric Vehicles and Vehicle Infrastructure.

Core areas we support include Renewable Energy Investment Management, Energy Project Finance, Structured Finance, M&A, Renewable Energy Project Development, Construction, Operations, Engineering, Commercial Management, Procurement, Asset Management, Portfolio Performance, Risk Management, Trading & Optimisation, Quantitative Analytics and Data Science.

We enjoy a diverse client-base including; Private Equity Investors, Project Developers, Independent Power Producers, Institutional Investors, Banks/Lenders, Utilities, Energy Conglomerates, Equipment Manufacturers, EPC Contractors and advisory businesses that work throughout the United Kingdom and European Union, in particular, England, Wales, Scotland, Ireland, Spain, France, Poland and the Netherlands