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

Apply Now

Lead Data Scientist - London or Gloucester - Hybrid - £75k

London
9 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Lead Data Scientist - Remote

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist - London or Gloucester - Hybrid - £75k

This is an excellent opportunity for an experienced data scientist to step into a lead role in a dynamic organisation that is agile and responsive. A business that is growing fast and where you get to drive and shape the future. You will bring experience in data science, machine learning algorithms, data analytics, and data engineering. You will also be highly capable with relevant tech stacks such as Python, AWS, Azure, CI/CD etc. You must also either hold active SC clearance or be eligible for SC clearance to be considered for this role

Salary & Benefits

£75,000 salary
Hybrid working: 2-3 days in London or Gloucester office
25 days annual leave with option to buy or sell extra days
10% performance related bonus
Company contributory pension scheme
Private healthcareRole & Responsibilities

Leading client projects and providing subject matter expertise.
Working in scrum-like environments for iterative and 'fail-fast' work and innovation.
Working in cross-disciplinary teams.
Working at the PoC (proof-of-concept) stage through to MVP and MMP stages.
Assessing your clients' business and technical needs with the ability to identify opportunities for data science to be used. Managing client and stakeholder relationships appropriately.
Solving problems using data science techniques and in a scientifically robust fashion.
Identifying data sources that are relevant to client needs, and related data science concepts that leverage those sources to aid the client.
Working with various forms of data (e.g., unstructured, semi-structured or structured; text, time-series or image) and suitably modelling them (e.g., table, key-value pair, graph) for efficient data science use.
Applying statistical and evidence-based techniques to inform insights and actions from the data.
Communicating technical content at the right pitch/level both internally and to customers.
Presenting to the client, using data science tooling and investigation, a 'story' of the data.
Building maintainable code that use existing data science libraries, implement existing data science techniques, or implement novel techniques.
Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations).
Developing scalable models and algorithms that can be deployed into production environments.
Supporting client engagements, including pitches and presentations.What do I need to apply

You have experience of working in a consultancy, engineering, or data industry.
You have led client delivery across a range of projects, e.g., data science, data analytics, data engineering, data intelligence, data security and proven experience in relevant technologies (e.g., Python applied to data science), as anindividual-contributor and leading a small team.
You have experience working on cloud-based infrastructure (e.g., AWS, Azure, GCP).
You have demonstrable continuous personal development.
You have strong interpersonal skills.
You have experience with using CI/CD tooling to analyse, build, test and deploy your code and proven experience in their technologies.
You have experience in database technologies (e.g., SQL, NoSQL such as Elasticsearch and Graph databases).
You have a good understanding of coding best practices and design patterns and experience with code and data versioning, dependency management, code quality and optimisation, error handling, logging, monitoring, validation and alerting.

My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most up to date CV and email me at or call me on (phone number removed).

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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.