Lead Data Scientist

Lead Data Scientist

Hybrid - London 1 day per week

Up to £85,000

About the Role

We are working with a high-growth performance marketing and technology company who are looking for a new Lead Data Scientist to join the team.

You'll be working at the intersection of data, technology, and marketing, you’ll lead the delivery of cutting-edge machine learning, optimisation, and analytics solutions that drive measurable business outcomes.

Reporting directly to the Director of Data, you’ll take ownership of projects across areas such as customer lifetime value, Propensity, and experimentation, whilst also acting as a data lead for major clients.

Initially hands-on, this role will evolve into a more strategic leadership position, with team management responsibilities (starting with three Data Scientists, growing to five within a year) expected within the first six months.

Key Responsibilities

• Lead and deliver data science solutions across predictive modelling, optimisation, and experimentation.
• Act as a strategic data partner to key clients, owning technical delivery and ensuring high-quality results.
• Design and deploy machine learning models and optimisation algorithms in production environments.
• Collaborate with engineering, marketing, and analytics teams to integrate data science into campaign strategy and tooling.
• Mentor and guide junior data scientists, establishing best practices and scalable workflows.
• Help grow and shape the data science team and its role within the wider business.

What We’re Looking For

• Strong technical foundation with proficiency in Python, SQL, and cloud platforms.
• Proven experience in deploying machine learning models or optimisation algorithms into production.
• Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools.
• Demonstrated experience across key use cases such as:
• Customer Lifetime Value (CLV) modelling
• Propensity scoring and lead prioritisation
• Budget allocation and bidding optimisation
• Experimentation, A/B testing, causal inference, MMM
• Advanced analytics (e.g. marginal returns curves, supply-demand modelling)
• Strong communication skills with the ability to simplify complex technical concepts for stakeholders.
• Leadership potential with a willingness to coach and develop others.

Please note, that this role cannot offer sponsorship.