Lead Data Scientist

Babcock International Group
Bristol
1 month ago
Create job alert

Job Title: Lead Data Scientist

Location: Stoke Gifford, Bristol


Compensation: Competitive + Benefits


Role Type: Full time / Permanent


Role ID: SF

Shape Data-Driven Insight That Strengthens the UK’s Naval Future

At Babcock we’re working to create a safe and secure world, together, and if you join us, you can play your part as a Lead Data Scientist at our Babcock Technology Centre site.

The role


As a Lead Data Scientist, you’ll play a pivotal role in delivering innovative modelling, analytics and software solutions that directly support the Royal Navy’s strategic submarine maintenance and disposal programme.

Day-to-day, you’ll lead and mentor a small team of data analysts, managing development workflows, prioritising analytical workloads and designing and implementing robust Python‑based capabilities.

Leading and motivating a high‑performing team to design, deliver and operate advanced analysis services aligned to programme requirements.


Prioritising and coordinating software development and data analytics workloads to meet evolving customer demands.
Developing high‑quality software, modelling and analytical solutions in python using modern development practices and toolsets.
Building deep business knowledge of submarine operations to design innovative modelling, optimisation and algorithmic approaches.
Engaging stakeholders, operating models, visualising outputs clearly and ensuring validated, coherent master data.

This role is full time, 35 hours per week and is based on site at Babcock Technology Centre.

Essential experience of the Lead Data Scientist

Experience writing Python to deliver integrated solutions to complex analytical challenges.


Proven leadership of small teams delivering software and analytics projects in fast‑paced environments.
Strong problem‑solving and communication skills, able to explain complex concepts to diverse stakeholders.
Strong ownership and reliability, delivering high‑quality outcomes and adapting to shifting priorities.
Highly collaborative, with strong Excel problem‑solving skills and proficiency visualising complex data to stakeholder. Experience using Power BI is preferred.

Qualifications for the Lead Data Scientist

A relevant degree such as Maths, IT, Software, Computer Science, Data Science, Physics or Computing.

Security Clearance


The successful candidate must be a sole UK National who is able to achieve and maintain Security Check (SC) security clearance for this role.

Many of the positions within our company are subject to national security clearance and Trade Control restrictions. This means that your eligibility for certain roles may be affected by your place of birth, nationality, current or former citizenship, and any residency you hold or have held. Further details are available at Babcock


We’re Babcock — a global FTSE organisation with over 26, people working together to make a difference.


Here, you’ll be part of something bigger. From initial design to final decommissioning, your work will contribute to products and services that are essential to national security and public infrastructure. Together, we’re building a future that lasts — not just through the impact we make, but through meaningful careers that respect your work-life balance.

We call that lifetime engineering.


Join us and see how far we can go, together.

We are a disability confident committed employer.

Related Jobs

View all jobs

Lead Data Scientist - Remote

Lead Data Scientist - Remote

Lead Data Scientist - Deep Learning Practitioner

Lead Data Scientist / Deep Learning Practitioner

Lead Data Scientist / Deep Learning Practitioner

Lead Data Scientist (Healthcare) - Onsite UK Clients

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.