Head of Data Science and AI

Experis UK
Bristol
7 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science, AI & Advanced Analytics Strategy

Head of Data Science - Advanced Analytics & AI

Head of Data Science - Advanced Analytics & AI

Data Science and AI Specialist

Principal Data Scientist

Lead Data Engineer - Nottingham City

Head of Data Science and AI (SC) | 12-Month Contract (Somerset, Hybrid)


📍Location:Commutable from Bristol (Somerset) - Hybrid

Contract:12 Months

💰Day Rate:Competitive - Inside IR35

🏢Industry:Government Defence | Data | AI & Machine Learning

🔐Security Clearance:ActiveSC clearance preferredbut not essential—candidates must beeligible for clearance.


The Opportunity

Our client, aleading Data enabler in the government defence sector, is seeking an experiencedHead of Data Science and AIto drive AI innovation, automation, and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders tooperationalise machine learning, enhance automation, and ensure responsible AI governance.


This is anexciting opportunity to shape the future of AI and data sciencewithin a Microsoft-centric technology environment usingAzurecloud solutions.


Key Responsibilities

🔹 Develop and execute theAI and Data Science strategy, delivering efficiency and customer benefits.

🔹 Lead and mentor a team of data scientists, overseeingtechnical direction, skill development, and project execution.

🔹 Work with senior stakeholders and executives to align AI initiatives with business objectives.

🔹 OverseeAI governance, ensuring compliance with government and defence standards.

🔹 Stay up to date with industry advancements and emerging AI applications.

🔹 Collaborate with external partners, including other government agencies and industry bodies.

🔹 Providetechnical leadership on machine learning deployment, MLOps, and model performance monitoring.


Key Requirements

Expertise in Data Science & Machine Learning, including supervised/unsupervised learning, deep learning, and generative AI.

✅ Strong understanding ofAI ethics, responsible AI practices, and data governance.

Technical proficiencyin Python, R, or C++ with experience in AI model deployment.

✅ Experience working withAzure cloud-based data solutions and Microsoft enterprise environments.

✅ Proven track record inleading data science teams, developing capabilities, and driving AI adoption.

✅ Ability toengage with senior stakeholders, influence strategy, and communicate complex AI concepts.

✅ Experience ingovernment, defence, or highly regulated industriesis highly desirable.


Why Apply?

🚀Impactful Role– Shape the AI & Data Science strategy for a major government SaaS client.

💡Cutting-Edge AI– Work withAzure AI & ML technologiesin a Microsoft enterprise environment.

🏡Flexible Working– Hybrid role with a mix ofremote and on-site workin Somerset.

📈High-Profile Exposure– Work with senior executives and government stakeholders.


If you’re adata science leaderwith a passion for AI and automation, we want to hear from you. Apply today or reach out for a confidential discussion.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.