Data Science Manager

Data Science Manager

🚀 High-Growth Series A Tech Start-Up🚀

📍 London, Hybrid

💰 Competitive Salary + Bonus

💲 Meaningful Equity

A venture-backed technology company is quietly rethinking how complex real-world systems operate at scale in the digital economy.

Fresh off the back of one of Europe’s largest recent Series A rounds and growing faster than most VC-backed start-ups, they are assembling one of the most talent-dense data organisations in the market.

💡 The Role

You’ll lead a team of Data Scientists building production systems that influence core platform behaviour, including:

• Marketplace and supply–demand dynamics

• Performance and engagement optimisation

• Network modelling and large-scale simulation

• Pricing, forecasting and financial modelling

These models are deeply embedded into the product and drive real decisions every day.

You will:

• Set technical direction and raise the quality bar across the team

• Own roadmap prioritisation across competing business priorities

• Partner closely with Product, Engineering and operational leadership

• Hire, develop and scale a high-calibre data science team

• Stay close enough technically to review work, unblock challenges and step in when required

🧠 Who Thrives Here

• Experience leading Data Scientists in production environments

• Strong modelling background (optimisation, forecasting, simulation or marketplace systems)

• Comfortable operating in ambiguity and high-velocity environments

• Able to clearly translate technical work into business outcomes

• High standards around experimentation, model performance and observability

As a hands-on manager, you care about outcomes, not optics, whilst ensuring the team takes ownership of what they deliver.

🔥 Why Join?

• High performing environment, offering a steep growth trajectory

• Deeply technical culture with a highly academic talent base

• Hybrid model designed around meaningful collaboration

• Work amongst exceptional peer-level talent, with inspiring leadership

• A chance to work on problems where data science directly shapes how a platform operates at scale