Head of Data Science Location: Birmingham or "Hybrid / Flexible" Salary: Competitive Bonus Benefits Contract Type: Full-time, Permanent Lead the future of AI and data-driven innovation. We’re looking for a visionary and hands-on Head of Data Science to define and execute our enterprise-wide data science strategy. You’ll drive the adoption of Generative AI, machine learning, and advanced analytics across all business sectors, building the capabilities, team, and infrastructure to unlock high-impact, scalable innovation. What You’ll Be Doing Shape Strategy & Lead Innovation Define and deliver the data science vision, spanning GenAI, ML, and advanced analytics. Establish an AI Centre of Excellence to embed a data-first culture across the business. Be the senior voice on AI in leadership forums — shaping how data science drives strategic value. Build GenAI & ML Solutions Deliver enterprise-scale GenAI apps (e.g. virtual assistants, copilots, RAG systems). Develop robust LLMOps pipelines for scalable AI deployment and governance. Lead classical ML initiatives alongside engineering teams — from training to monitoring. Stay ahead of emerging trends in AI/ML to inform technology adoption. Enable Data-Driven Decision Making Build tooling and frameworks for experimentation, A/B testing, and predictive modelling. Define ethical and governance standards for responsible AI use. Lead & Scale the Team Build and mentor a high-performing data science function embedded in product and business teams. Define team structure, tooling, and hiring roadmap to scale capability and impact. Act as a trusted advisor to commercial, product, finance, and marketing leaders. Your Profile You’ll Bring: Proven experience leading enterprise data science teams in complex or product-led environments. A track record of delivering GenAI solutions using LLMs, prompt engineering, and RAG architectures. Deep understanding of experimentation, statistical modelling, and advanced analytics. Hands-on experience with MLOps practices, cloud environments (AWS or Azure), and classical ML model deployment. Proficiency in Python, SQL, and modern data science tools/platforms. Strong stakeholder engagement skills and the ability to simplify complex insights into strategic recommendations. Bonus Points For: Experience with AWS AI tools (SageMaker, Bedrock, Lambda). Familiarity with low/no-code platforms. Knowledge of ethical AI frameworks and responsible innovation practices. What Success Looks Like Scalable, high-impact data science solutions delivering measurable business value. Widespread adoption of AI/ML and self-serve analytics across teams. A strong, respected AI Centre of Excellence at the heart of business decision-making. A world-class, continuously evolving data science team. Governance frameworks that ensure AI is safe, secure, and ethical. Why Join Us? This is a rare opportunity to shape the future of AI and analytics in a fast-moving corporate environment. You’ll have the autonomy, executive backing, and resources to innovate at scale — building something transformative and lasting. You'll also receive a competitive salary with bonus/pension/private healthcare. Ready to lead the next generation of data-driven innovation? Apply now to take the reins of our AI and data science strategy.