National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Science Manager

TechNET IT Recruitment Ltd
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Location:London (Hybrid)

Compensation:Upto £130,000


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 ahands-on, sleeves-rolled-upposition, 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.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.