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

Do you want to work in a front-office data science role with direct impact on investment decisions?

Have you ever owned analytics end-to-end in a low-maturity, high-stakes environment?

Are you ready to help build a data function from the ground up inside a private markets firm?

A global private markets investment firm focused on secondary markets is expanding its in-house data capability. The business manages multi-billion-euro funds globally and is investing heavily in analytics to support due diligence, valuation, and portfolio decision-making. This is a high-visibility role within a small, commercially driven team working directly with investors.

This role sits within the investment team and blends applied data science, analytics, and automation. You will help mature data processes, build forecasting models, and deliver insights that directly influence buy, hold, and sell decisions.

Key responsibilities

• Build cash-flow forecasting and scenario models for investment analysis

• Support due diligence through analytics, modelling, and automation

• Develop dashboards and reporting used by investment professionals

• Work with messy, low-maturity data and improve underlying processes

• Translate analysis into clear insights for non-technical stakeholders

• Own projects end-to-end in a fast-paced, front-office environment

Key details

• Salary: £85k–110k base + discretionary bonus (30–40%)

• Location: London (St James’s Square)

• Hybrid working model: Monday WFH, Tuesday–Friday in office

• Stack: Python, SQL, PowerBI/Tableau, Azure exposure helpful

• Visa: This role cannot sponsor

Interested? Please apply below.

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.