Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Associate Data Scientist

Harnham
London
3 months ago
Applications closed

Related Jobs

View all jobs

Associate Data Scientist

Associate (Data Scientist) - London, Wroclaw

Associate (Data Scientist) - London, Wroclaw

Research Associate in Data Science and Artificial Intelligence

Staff Data Scientist, Associate Director (Manchester)

Staff Data Scientist, Associate Director (Manchester)

Associate Data Scientist

Up to £120,000

London (Hybrid, 4 days onsite per week)



Company:

Join one of the world’s leading private equity firms, with a strong global presence and have partnered with hundreds of businesses across a wide range of sectors to support long-term growth and transformation.


They combine deep industry expertise with a hands-on, collaborative approach - making it a dynamic environment for ambitious professionals looking to make a real impact.



Responsibilities:

  • Support the investment and deal teams by delivering deep, data-driven insights into potential acquisition targets.
  • Responsible for evaluating market dynamics, identifying growth opportunities, and building predictive models to assess financial and operational performance.
  • Your analysis will play a critical role in shaping investment theses and informing high-stakes decisions on multi-million (and often billion)-pound deals.
  • Collaborate with internal teams to deliver commercial and operational due diligence
  • Be at the forefront of identifying data-led value creation strategies across the private equity lifecycle.



Requirements:

  • MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
  • Strong coding skills in Python and SQL
  • Experience with Private Equity or Strategy Consultancy
  • Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.



**Please note that this roledoes notoffer visa sponsorship**



How to Apply:

Please register your interest by sending your CV to Emily Burgess via the Apply link on this page

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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.