National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Science Manager

ADLIB Recruitment
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Science Manager

Data Science Manager - UK Remote Working

Data Science Manager - Remote

Data Science Manager

Data Science Manager - Remote

Data Science Manager - Remote

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using cutting-edge data science and AI to reshape how people access and experience healthcare currently scaling their AI capabilities across a number of exciting workstreams. Theyve built a strong data science function thats now growing againthis time with a key leadership role; an opportunity for a hands-on Data Science Manager to lead a high-calibre team while remaining close to the code and product delivery. What youll be doing: Youll be leading a small but growing team of data scientists working on a wide range of production-grade AI solutions. The role is a hybrid of technical leadership and hands-on contributionso expect to support and mentor, while still getting involved in model building, experimentation, and optimisation. Youll play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who loves combining technical depth with leadership and strategic thinking, this ones for you. You'll work closely with engineering, product, and analytics colleagues to translate business challenges into high-impact data science projectseverything from proof of concept to deployment. Your ability to communicate insights to non-technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in shaping the teams culture, delivery and strategic direction. What experience youll need to apply: Proven experience leading and mentoring data scientists in a commercial setting Currently working as a Data Science Manager, Lead Data Scientist or similar Experience working on GenAI/MLOps and similar projects Strong track record of delivering machine learning or AI projects end-to-end Hands-on skills in Python, with frameworks like Scikit-learn, TensorFlow, PyTorch, or PySpark Deep understanding of data science best practices, including MLOps Strong stakeholder communication skillsable to translate complex insights into business impact Experience working in cross-functional teams with engineering, architecture, and product Knowledge of the insurance or financial services industry would be a bonus Comfortable working with unclean or unbalanced datasets, and familiarity with synthetic data is a plus What youll get in return: Up to £90,000 basic salary depending on experience Annual bonus linked to company and personal performance Great pension, life assurance and more! Employee discounts, gym benefits, and structured learning time (2 hours/week) Hackathons, coaching, and global collaboration across teams Flexible hybrid workingtypically 23 days per week in either Tunbridge Wells or Bristol Whats next? Apply with your updated CV, and well review your application as soon as possible to set up a chat and tell you more about the role. Any questions in the meantime? Feel free to drop Tegan an email. ADZN1_UKTJ

National AI Awards 2025

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.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.

Return-to-Work Pathways: Relaunch Your AI Career with Returnships, Flexible & Hybrid Roles

Stepping back into the workplace after a career break can feel like embarking on a whole new journey—especially in a cutting-edge field such as artificial intelligence (AI). For parents and carers, the challenge isn’t just refreshing your technical know-how but also securing a role that respects your family commitments. Fortunately, the UK’s tech sector now boasts a wealth of return-to-work programmes—from formal returnships to flexible and hybrid opportunities. These pathways are designed to bridge the gap, equipping you with refreshed skills, confidence and a supportive network. In this comprehensive guide, you’ll discover how to: Understand the booming demand for AI talent in the UK Leverage transferable skills honed during your break Overcome common re-entry challenges Build your AI skillset with targeted training Tap into returnship and re-entry programmes Find flexible, hybrid and full-time AI roles that suit your lifestyle Balance professional growth with caring responsibilities Master applications, interviews and networking Whether you’re returning after maternity leave, eldercare duties or another life chapter, this article will equip you with practical steps, resources and insider tips.

LinkedIn Profile Checklist for AI Jobs: 10 Tweaks That Triple Recruiter Views

In today’s fiercely competitive AI job market, simply having a LinkedIn profile isn’t enough. Recruiters and hiring managers routinely scout for top talent in machine learning, data science, natural language processing, computer vision and beyond—sometimes before roles are even posted. With hundreds of applicants vying for each role, you need a profile that’s optimised for search, speaks directly to AI-specific skills, and showcases measurable impact. By following this step-by-step LinkedIn for AI jobs checklist, you’ll make ten strategic tweaks that can triple recruiter views and position you as a leading AI professional. Whether you’re a fresh graduate aiming for your first AI position or a seasoned expert targeting a senior role, these actionable changes will ensure your profile stands out in feeds, search results and recruiter queues. Let’s dive in.