Data Science Lead

Searchability NS&D
Gloucester, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Lead Data Scientist - Customer Development

Faculty AI London, United Kingdom
£80,000 – £120,000 pa Hybrid

Lead Data Scientist - Deep Learning Practitioner

Capital One West Bridgford, Nottinghamshire, NG2 6BT, United Kingdom

Lead Data Scientist / Deep Learning Practitioner

Capital One West Bridgford, Nottinghamshire, NG2 6BT, United Kingdom

Lead Data Scientist - Deep Learning Practitioner

Capital One Nottingham, Nottinghamshire, United Kingdom

Lead Data Scientist / Deep Learning Practitioner

Capital One Nottingham, Nottinghamshire, United Kingdom

Lead Data Scientist / Deep Learning Practitioner

Capital One Calwich, Staffordshire, United Kingdom
Posted
26 Mar 2026 (Last month)
Share
Save job
Create job alert

Job Description

  • Location: Gloucester (Full-time on-site)
  • Salary: Competitive DOE + 6% Bonus, 25 Days Holiday, Clearance Bonus
  • Security Clearance: Active Enhanced DV Clearance Required
  • Key Skills: Team Leadership, Customer Engagement, Data Science, DevOps, Cloud, Data Platforms

Who We Are?

We are a leading technology company specialising in mission-centric solutions, designing and delivering cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation.

What Will You Be Doing?

As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will:

  • Lead customer engagements and manage stakeholder relationships
  • Contribute to and prepare technical bids and proposals
  • Collaborate with Delivery Management to drive successful project execution
  • Apply practical data science skills through hands-on development
  • Work on complex, technically challenging projects at the cutting edge of the industry
  • Communicate effectively with internal and external stakeholders

What Are We Looking For?

We are seeking individuals with experience in one or more of the following areas:

  • Building and designing scalable data platforms
  • Data visualisation and techniques for data extraction
  • Machine learning and advanced data analytics
  • Proficiency in programming languages such as Python, Java, or C++
  • DevOps techniques and cloud technologies
  • Agile methodologies and team leadership
  • Strong stakeholder and customer engagement skills

This role offers a unique opportunity to work on impactful projects, lead innovative teams, and drive digital transformation in a secure, high-stakes environment.

Ready to take your career to the next level? Apply today and be part of something extraordinary!

Please either apply by clicking online or emailing me directly at. For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.

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.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.