Data Science Manager

TechNET IT Recruitment Ltd; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A leading company in private equity is seeking a hands-on Data Science Manager who excels in fast-paced environments. This role focuses on delivering analytical solutions that influence significant investment decisions. The ideal candidate will have strong technical skills in Python and SQL, along with a commercial mindset to connect analytics with business outcomes.

Qualifications

• Strong academic background in a STEM field.
• Proven experience in data science or analytics.

Responsibilities

• Leading complex analytics projects across portfolio companies.
• Delivering bespoke data science solutions for decision-making.
• Collaborating with C-level execs on commercial initiatives.

Skills

Python

SQL

Data Science

Machine Learning

Analytics

Communication

Education

Master’s in STEM

Tools

Snowflake

Databricks

Power BI

Tableau

Job description

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TechNET IT Recruitment Ltd provided pay range

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Recruitment Consultant - Executive Search - Tech Leadership

Data Science Manager

Location: London (Hybrid)

Are you a hands-on data scientist who thrives in fast-paced, high-performance environments?

We’re working with a world-leading private equity firm that sits at the intersection of cutting-edge analytics and strategic investment. They are seeking a Data Science Manager—someone who combines exceptional technical depth with commercial insight to influence billion-dollar decisions.

This is not a people management role—this is a hands-on, sleeves-rolled-up position, ideal for someone who loves to code, lead from the front, and drive impact through data. You’ll be a pivotal part of a small, elite team responsible for delivering analytical firepower across deal sourcing, due diligence, and post-acquisition value creation.

What You’ll Be Doing

• Leading complex analytics projects across portfolio companies and investment opportunities.
• Scoping and delivering bespoke data science solutions that inform high-stakes decision-making.
• Acting as a technical lead and mentor for junior contributors and contractors.
• Building reusable IP: dashboards, codebases, tooling, and frameworks.
• Collaborating with C-level execs and deal teams on high-impact commercial initiatives.

What We’re Looking For

• A strong academic background in a STEM field (Master’s preferred).
• Proven experience in data science, machine learning, or analytics in consulting, PE, or financial services.
• Advanced Python and SQL skills; exposure to tools like Snowflake, Databricks, Power BI/Tableau.
• A commercial mindset—someone who can connect analytical output with business outcomes.
• Clear communicator who builds trust with senior stakeholders and thrives in ambiguity.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Consulting, Information Technology, and Science

Industries

• Data Infrastructure and Analytics, IT System Data Services, and IT Services and IT Consulting

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