Principal Data Scientist

Lead/Principal Data Scientist

London – 3 days a week

Up to £135,000

About the Company

We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance.

They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes.

This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy.

Key Responsibilities

• Translate complex business problems into measurable data science solutions that deliver commercial value
• Lead the design, development, and deployment of predictive and optimisation models across multiple industries
• Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment
• Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions
• Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices
• Communicate findings and strategic insights to both technical and non-technical stakeholders

Requirements:

You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy.

• Proven experience applying data science in commercial settings
• Proven ability to lead data science projects from concept to production
• Deep understanding of statistical modelling, predictive analytics, and optimisation techniques
• Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders
• Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university
• Excellent communication skills and a collaborative mindset

Please note: This role cannot offer VISA sponsorship