Chief Data Scientist

Chief Data Scientist

x3–4 days a week in the office (nearest station: Camden Town)

About the Role & Company

This high-growth technology company has rapidly scaled a platform that blends on-demand solutions with intelligent optimisation. It helps thousands of businesses improve work management, service quality, and operational performance in real time.

After launching a new AI product that has already reached seven-figure annual recurring revenue within its first year, the business is now preparing for further UK expansion and a move into international markets. They are hiring a Chief Data Scientist to take things to the next level. This person will lead technical direction, guide a growing team, and remain closely involved in delivering machine learning systems that power real-world impact across the platform.

You’ll shape the roadmap, lead from the front, and play a key role in embedding intelligence into every aspect of product and strategy.

What You’ll Be Doing

• Set the overall AI strategy and ensure it connects clearly to product outcomes, user value, and business growth
• Lead and support a team of Data Scientists and ML Engineers while maintaining a strong personal technical contribution
• Design and scale ML solutions focused on forecasting, optimisation, and real-time performance enhancement
• Build the infrastructure needed to support experimentation, training, and deployment of production-grade models
• Evaluate new modelling approaches including reinforcement learning, multimodal architectures, and agentic methods
• Work closely with Product, Engineering, and Commercial teams to ensure AI delivers measurable results
• Act as the internal champion for intelligence, influencing how the company makes use of data and automation at every level

What They’re Looking For

• Circa 6-12 years of experience in ML, AI, or applied data science, with a track record of technical leadership
• A strong academic foundation in a quantitative or technical subject, ideally including postgraduate study
• Hands-on experience bringing ML systems from research through to live deployment
• Strong Python programming skills and experience with libraries such as PyTorch, TensorFlow, or Hugging Face
• Good understanding of infrastructure and deployment, ideally in cloud environments such as AWS
• Exposure to areas such as time-series modelling, optimisation, computer vision, or reinforcement learning
• Confident working across technical and non-technical teams and communicating complex ideas clearly
• Motivated by impact, scalability, and helping an organisation make intelligence a core capability

If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).