Lead Data Scientist

Job Description

Principal Data Scientist – AI & Machine Learning

Location: London (Hybrid: 3 days in office)

Salary: £100,000 – £125,000 + 10% discretionary bonus + equity scheme

We’re partnering with a highly respected, data driven organisation in the alternative assets space undergoing a major AI led transformation, including the launch of new generative AI products and intelligent data platforms.

They are hiring a Principal Data Scientist to play a key role in shaping and delivering next-generation machine learning solutions across the business.

This is a hands on, high impact individual contributor role with significant scope to influence technical direction, mentor others, and own end to end delivery of data science solutions.

The Opportunity

You’ll work at the forefront of applied AI, building intelligent systems that directly enhance customer experience and business performance. The team is actively launching new AI initiatives, including generative AI and intelligent document understanding tools.

This role is ideal for someone who thrives in ambiguity and can take ideas from concept through to production.

You will act as a solution owner, taking loosely defined problems and translating them into production ready machine learning systems.

What You’ll Be Doing

• Design, build, and deploy machine learning models (prediction, classification)
• Own delivery of data science solutions from problem definition to production
• Lead experimentation and A/B testing to drive continuous improvement
• Collaborate cross functionally with product, engineering, and commercial teams
• Mentor and elevate a high-performing team of data scientists and ML engineers
• Contribute to AI strategy, including developments in generative AI

Experience

• 6–12 years’ experience in data science, currently operating at Principal level
• Strong grounding in machine learning fundamentals (supervised learning essential)
• Proven experience delivering production-grade ML solutions
• Strong Python and SQL skills
• Experience with experimentation and data-driven decision making
• Ability to operate as a hands-on technical leader (not pure management)
• Advanced degree (Master’s or PhD) in a quantitative field
• Experience working with financial or private markets data
• Exposure to alternative investments or private equity datasets
• Knowledge of causal inference, probabilistic modelling, or knowledge graphs

Why Apply

• High-impact role with ownership and autonomy
• Work on AI initiatives in a growing team
• Strong engineering and data culture with a focus on excellence
• Clear progression and opportunity to shape future capabilities

Please note - sponsorship is not available for this position.