Lead Data Scientist - Energy

Paritas Recruitment; England; Hybrid; GBP 111,000 - 166,000; Full time

Job summary

A leading recruitment firm is looking for experienced Senior Data Scientists in the energy trading sector. The role involves building and deploying data science and machine learning solutions, collaborating with various stakeholders, and applying statistical methods to optimize trading decisions. Candidates must have strong skills in Python, SQL, and machine learning principles. This contract role, requiring urgent attention, is located in London and supports a hybrid work model.

Qualifications

• Hands-on development experience in Python or Java.
• Grounded in statistics and machine learning concepts.
• Exposure to modern data science tooling.
• Advanced SQL skills required.
• Experience in trading or data-intensive domains.
• Excellent written and verbal communication skills.

Responsibilities

• Build and deploy scalable data science solutions.
• Collaborate with data engineers and business stakeholders.
• Apply statistical foundations to solve trading problems.
• Deliver actionable insights through data analysis.
• Own the data science lifecycle from exploration to deployment.
• Contribute to GenAI/LLM-driven use cases.
• Write clean, maintainable code in enterprise systems.
• Participate in technical reviews focused on value delivery.

Skills

Python

Machine Learning

Statistics

SQL

Object-Oriented Programming

Communication Skills

RAG

Communication

Tools

Data Science Tooling

LLMs (Large Language Models)

Job description

Senior Consultant - Energy Sector Headhunter at Paritas / Manpower Logistics and Management

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‑in‑depth 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 clearly articulating outcomes to technical and non‑technical audiences
• Writing clean, maintainable, and well‑documented code within complex enterprise systems
• Taking part in technical reviews and discussions, with a strong focus on value delivery and pragmatism

What I need from you …

• Strong hands‑on development experience in Python and/or other object‑oriented languages such as Java
• Excellent grounding in statistics, machine learning, and core mathematical concepts
• Exposure to modern data science tooling, including LLMs and RAG‑style approaches
• Advanced SQL skills
• Experience working at enterprise scale, ideally in trading or similarly data‑intensive domains
• Strong written and verbal communication skills
• Comfortable with technical interview formats, including live coding, OOP design, and SQL challenges

This role requires urgent attention as my client ideally needs people to start in January.

Successful applicants will progress to interview ASAP to make this start date possible.

Should you be interested please do not hesitate to apply now.

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology, Analyst, and Finance

Industries

Oil and Gas, IT Services and IT Consulting, and Services for Renewable Energy