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

Nominate & Attend

Data Science Manager

Vertical Advantage
London
6 days ago
Create job alert

We’re supporting a leading insights consultancy in the food and drink sector in their search for a Lead Data Scientist. This is a key hire, heading up a small data team and shaping the company’s data and AI strategy across its insight platforms.

The business delivers high-quality subscription-based data tools, helping global brands make smarter decisions across retail.


The Role

You’ll take ownership of the full data lifecycle, from sourcing and modelling to deploying machine learning and AI solutions. You'll explore the use of LLMs and advanced analytics to enhance both internal tools and client-facing features. Managing a team of three, you’ll also play a central role in product strategy and cross-functional collaboration.


Key Focus Areas

  • Build and maintain data pipelines and infrastructure
  • Develop and deploy ML models, including LLM-driven tools
  • Manage, coach and grow the data team
  • Align data strategy with business goals and product roadmap
  • Identify opportunities for automation and innovation
  • Stay up to date with the latest in AI and machine learning


What You’ll Need

  • Strong experience leading end-to-end data science projects
  • Proficiency in Python and SQL
  • Solid knowledge of data modelling, ETL and cloud platforms (Azure ideal)
  • Experience with LLMs or similar AI systems
  • Comfortable working with stakeholders across tech and commercial teams
  • Clear communication and strong team leadership skills


Extras

  • Experience with embeddings, vector search or deploying LLMs at scale
  • Background in product led or subscription based businesses


Benefits

  • 25 days holiday plus bank holidays
  • Additional “MeDay” for your birthday or personal celebration
  • One paid volunteer day per year
  • Health and wellbeing support
  • Enhanced family leave
  • Cycle to Work and Electric Car schemes
  • Hybrid working

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

Data Science Manager

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.

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.

Part-Time Study Routes That Lead to AI Jobs: Evening Courses, Bootcamps & Online Masters

Artificial intelligence (AI) is reshaping industries at an unprecedented pace. From automating mundane tasks in finance to driving innovation in healthcare diagnostics, the demand for AI-skilled professionals is skyrocketing. In the United Kingdom alone, AI is forecast to deliver over £400 billion to the economy by 2030 and generate millions of new jobs across sectors. Yet, for many ambitious professionals, taking time away from work to upskill can feel like an impossible ask. Thankfully, part-time learning options have proliferated: evening courses, intensive bootcamps and flexible online master’s programmes empower you to learn AI while working. This comprehensive guide explores every route—from short tasters to deep-dive MScs—showcasing providers, course formats, funding options and practical tips. Whether you’re a career changer, a busy manager or a self-taught developer keen to go further, you’ll discover a pathway to fit your schedule, budget and goals.