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 (feel free to include a CV for review).