KDR Talent Solutions
Head of Data Science
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Head of Data Science
Remote (UK Based)
Salary: £120,000 - £150,000
We're partnering with a multi-billion-dollar global leader in insights and analytics on a major transformation programme that is reshaping how data, AI and advanced analytics drive business value at scale.
This is a rare opportunity to join a high-profile initiative in its growth phase, leading the development of a modern, enterprise-wide data capability spanning data engineering, data science, AI, machine learning and platform architecture.
As Head of Data Science, you will own the vision, strategy and delivery of a next-generation data platform, enabling advanced analytics, AI products and intelligent decision-making across a global organisation. This role combines strategic leadership with hands-on technical oversight, requiring someone comfortable operating across the full data stack, from data ingestion and platform design through to machine learning deployment and AI-driven products.
What You'll Be Doing
- Define and execute the organisation's data science and data platform strategy, aligning technical capabilities with commercial objectives.
- Lead the design, development and scaling of modern data platforms, pipelines and architectures supporting analytics, AI and machine learning workloads.
- Own the end-to-end lifecycle of data products, from data acquisition and engineering through to modelling, deployment and business adoption.
- Drive the development of advanced machine learning, predictive analytics, generative AI and agent-based solutions for real-world business applications.
- Establish best practices across data engineering, MLOps, DataOps, governance, monitoring and model lifecycle management.
- Lead and mentor multidisciplinary teams across Data Science, Data Engineering, Machine Learning Engineering and Analytics.
- Partner with senior stakeholders and executive leadership to identify opportunities where data and AI can deliver measurable business impact.
- Evaluate and implement emerging technologies across cloud, AI and data infrastructure to maintain a market-leading capability.
- Build scalable, secure and resilient data ecosystems capable of supporting global operations and future growth.
- Influence key technology decisions, balancing innovation, scalability and operational excellence.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We're Looking For
- Proven experience leading enterprise-scale Data Science, Data Engineering or AI functions within complex organisations.
- Strong technical background across the full data stack, including data architecture, data engineering, machine learning and analytics.
- Hands-on expertise with Python and modern cloud platforms such as AWS, Azure or GCP.
- Deep understanding of data platform design, distributed data processing, ETL/ELT frameworks and modern data architectures.
- Experience deploying machine learning models into production environments using MLOps best practices.
- Knowledge of modern AI technologies, including LLMs, generative AI, agentic systems and advanced analytics.
- Strong commercial acumen with the ability to translate business challenges into data-driven solutions.
- Exceptional stakeholder management skills and experience influencing senior executives and global leadership teams.
- A track record of building high-performing teams and delivering large-scale transformation programmes.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Why This Role?
- Impact & Scale
- Lead a business-critical data and AI transformation programme with visibility across a global organisation.
- End-to-End Ownership
- Shape the entire data ecosystem, from engineering and infrastructure through to advanced AI products and commercial outcomes.
- Innovation
- Work with cutting-edge technologies spanning machine learning, generative AI, agentic systems, modern data platforms and cloud-native architectures.
- Leadership
- Build and lead multidisciplinary teams across Data Science, Engineering and AI, creating a world-class data capability.
- Visibility
- Partner directly with senior leadership and play a key role in defining the organisation's future data and AI strategy.
📩 If you're a strategic technology leader with experience spanning Data Science, Data Engineering and AI, and you're excited by the opportunity to build enterprise-scale data capabilities from the ground up, we'd love to speak with you confidentially.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location