Lead Data Scientist - Energy

Paritas Recruitment; Greater London; Hybrid; GBP 100,000 - 125,000; Full time

Job summary

A prominent recruitment agency is seeking a Senior Data Scientist in London to join a high-impact energy trading environment. The role focuses on building and deploying robust data science and machine learning solutions. You will work closely with engineers and traders, applying statistical analysis to optimize trading decisions. The position requires hands-on experience in complex environments, with a competitive daily rate offered. This is a hybrid role, requiring 3 days onsite work each week.

Qualifications

• Proficiency in building and deploying scalable data science solutions.
• Experience in statistical analysis and machine learning applications.
• Ability to work collaboratively in a fast-paced environment.

Responsibilities

• Build and deploy scalable data science solutions.
• Collaborate with engineers and business stakeholders.
• Apply machine learning to solve trading problems.

Skills

Statistical analysis

Machine learning

Data analysis

Collaboration with engineers

Problem solving

Job description

Job Description

Senior Data Scientist – Energy Trading

London – 3 days onsite per week (non-negotiable)

Competitive Daily rate. Guaranteed 6 months with a very strong likelihood for continued extension.

We’re hiring multiple Senior Data Scientists to join a high-impact energy trading environment for an Oil and Gas Major. This role is focused on designing, building, and deploying robust data science and machine learning solutions that directly support trading and commercial decision-making. It’s a hands‑on position suited to experienced practitioners who are comfortable operating in complex, fast‑paced environments.

What you will do …

• Building and deploying scalable data science and machine learning solutions into production
• Working closely with data engineers, software engineers, and business stakeholders across trading functions
• Applying strong statistical and machine learning foundations to solve real‑world trading and optimisation problems
• Performing deep‑tune data analysis to deliver clear, actionable insights
• Owning the full data science lifecycle, from initial exploration and prototyping through to deployment and ongoing support

Contributing to GenAI / LLM‑driven use cases and cle…