Principal Data Scientist in City of London

Energy Jobline ZR; City Of London; Hybrid; GBP 135,000 - 156,000; Full time

Job summary

A leading energy job board in London is seeking a Lead/Principal Data Scientist to lead machine learning projects across various industries. The role requires an experienced data scientist comfortable with Python, capable of translating complex problems into practical data solutions. Candidates should have a solid background in statistical modeling and a degree in a quantitative field. The company offers a competitive salary of up to £135,000, with a requirement of being onsite 3 days a week.

Qualifications

• Proven experience applying data science in commercial settings.
• Proven ability to lead data science projects from concept to production.
• Deep understanding of statistical modelling, predictive analytics, and optimisation techniques.
• Excellent communication skills and a collaborative mindset.

Responsibilities

• Translate complex business problems into measurable data science solutions.
• Lead the design, development, and deployment of predictive models.
• Own the end-to-end ML pipeline: data exploration, feature engineering, modeling.
• Collaborate with data engineers and MLOps professionals.
• Act as a technical lead within project teams.

Skills

Machine learning

Data science

Statistical modeling

Predictive analytics

Cross-functional collaboration

Education

Bachelor’s or Master’s degree in quantitative field

Tools

Python

Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

Lead/Principal Data Scientist

London - 3 days a week

Up to £135,000

About the Company

We’re working with a next- private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance.

They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes.

This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy.

Key Responsibilities

• Translate complex business problems into measurable data science solutions that deliver commercial value
• Lead the design, development, and deployment of predictive and optimisation models across multiple industries
• Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment
• Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions
• Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices
• Communicate findings and strategic insights to both technical and non-technical stakeholders

Requirements

You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy.

• Proven experience applying data science in commercial settings
• Proven ability to lead data science projects from concept to production
• Deep understanding of statistical modelling, predictive analytics, and optimisation techniques
• Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders
• Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university
• Excellent communication skills and a collaborative mindset

Please note: This role cannot offer VISA sponsorship

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.