Lead Data Scientist

Lead Data Scientist | London | Energy & Net Zero

📍 Central London (Hybrid – up to 2 days in office)

💰 £120,000 to £150,000

Machine Learning | Data Science | Forecasting | Optimisation | AI

Our client partners with some of the world’s most recognisable brands to deliver innovative, data-driven solutions. From major energy operators and national infrastructure providers to fast-growing GreenTech start-ups.

They use advanced analytics, machine learning and AI to help clients decarbonise, run critical infrastructure more efficiently and build the smarter, cleaner energy systems of the future.

ROLE: Lead Data Scientist (Energy & Net Zero)

Salary: £120k to £150k

We’re looking for a Lead Data Scientist to take a pivotal role across a portfolio of high-profile energy and utilities clients. This is a technical and leadership position, ideal for someone who wants to shape how AI is applied to some of the biggest challenges of our time. Experience with modern AI approaches such as GenAI or agentic systems is a real plus.

You’ll set the technical direction, lead project teams and act as a trusted adviser to senior client stakeholders. You’ll scope complex, ambiguous problems, design production-grade solutions and mentor a team of talented data scientists.

What You’ll Bring

• Deep expertise in at least one area of machine learning, with broad knowledge across data science
• Data science tools (NumPy, Pandas, Scikit-Learn) and deep learning frameworks (PyTorch, TensorFlow)
• A track record of delivering impactful AI/ML projects, e.g. demand or price forecasting, optimisation, asset health or time-series modelling
• Experience leading projects, with strong technical decision-making and ownership of architecture
• Excellent communication: able to turn complex technical work into real business value for clients
• A passion for mentoring and managing, and for growing data science talent
• Energy, utilities, climate or sustainability experience is a strong bonus but not essential

Apply now to become a key player driving data science innovation in the energy transition.