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

Apply Now

Data Scientist Team Lead

Manpower
Preston
8 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Team Lead

Junior Data Scientist

Lead Data Scientist – Project and Capability

Lead Data Scientist – Project and Capability

Data Scientist (TTS)

Data Scientist

Data Scientist Team Lead Preston(Hybrid working) £60,000-£65,000 + Benefits

My client are looking for an experienced Data Scientist Team Lead to join their team working on a hybrid basis.

What you'll be doing:

Providing technical guidance and upskilling members of the team Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions Building scalable machine learning pipelines and combining feature engineering with optimisation methods to improve the data product performance Exploring ways of using new data science tools and techniques to address business and organisational challenges Sharing data science practices across all departments, promoting professional development and use of best practice across all capabilities identified for data scientists Applying data science techniques to present, communicate and disseminate data science products effectively, appropriately and with high impact Working with technologists to design, create, test and document data products with agreed software development standards, including security, accessibility and version control Contributing to decision-making throughout the product life cycle by using data sources, analytical techniques and tools

Your skills and experiences:

Ideally some experience of leading/managing a team and the ability to foster a collaborative team culture Experience using data tools such as Python, MATLAB, Kubernetes and TensorFlow Hold a mathematical background with a strong understanding of statistical data Inquiring mindset with the ability to translate data sets to customers

To apply for this role please send your cv to Peter Bibby on the email address below...

null

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.