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

Nominate & Attend

Director of Data Science & AI – Global Manufacturing Transformation

London
1 month ago
Applications closed

Related Jobs

View all jobs

Oracle Data Analyst

Data Science Consultant - Health

Director of Data Analytics and AI

Director of Data Analytics and AI

Director, Data Governance

Director, Data Governance London, England...

Director of Data Science & AI – Global Manufacturing Transformation

We’re hiring on behalf of a global manufacturing group headquartered in London, actively investing in AI and data science to modernise and future-proof its operations across multiple continents.

This newly created role — Director of Data Science & AI — sits at the intersection of industry and innovation, offering the rare opportunity to lead enterprise-scale AI transformation in one of the world’s most traditional sectors.

You’ll own the AI and data strategy, manage a high-performing technical team, and work directly with executive leadership to deliver measurable outcomes across smart manufacturing, supply chain intelligence, and operational efficiency.

Why This Role Is Unique

We’re helping to bridge the gap between world-class AI leadership and the industrial sector. Executives from other data-driven environments — including Finance, SaaS, Retail, or Logistics — are encouraged to apply, especially those seeking to lead innovation in a high-impact, under-digitised industry.

Key Responsibilities



Lead the global AI and data strategy across smart factory, logistics, and enterprise-wide digital programmes.

*

Build and manage a cross-functional team of data scientists, ML engineers, and analytics professionals.

*

Translate strategic business challenges into scalable machine learning and data solutions.

*

Drive cultural change in a traditional sector, evangelising data-first decision-making at executive and board level.

*

Partner with manufacturing sites, regional execs, and global leadership to deliver AI-enabled innovation at scale.

What We’re Looking For

*

Proven track record in delivering enterprise-scale data science or AI programmes.

*

Experience leading teams in sectors such as manufacturing, fintech, SaaS, or logistics.

*

Strong knowledge of machine learning, data architecture, and deployment tools (Python, SQL, Azure, Snowflake, etc).

*

Exceptional communication skills with executive presence.

*

Passion for shaping AI’s impact on industry and solving real-world operational challenges.

What’s on Offer

*

Executive-level position in a global, future-facing organisation.

*

Chance to shape AI strategy in a sector with enormous transformation potential.

*

Autonomy, influence, and visibility at board level.

*

Bonus, equity participation, and career-defining scope.

Apply Today
Join us to revolutionise the industrial world through data. Apply now for a confidential discussion about this London-based leadership role

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

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

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.