Principal Data Scientist in London

Who You'll Work With

You are someone who thrives in a high-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact. In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well-rounded professional, and contribute to work that truly makes a difference.

When you join us, you will have:

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions.
• Exceptional benefits: In addition to a competitive salary (based on your location, experience, and skills), we offer a comprehensive benefits package, including medical, dental, mental health, and vision coverage for you, your spouse/partner, and children.

Your Impact

As a Principal Data Scientist, you will lead the design, delivery, and governance of GenAI- and ML-powered risk solutions that mitigate risks, sharpen controls, and make the risk function markedly more efficient. You will own the end-to-end delivery of GenAI in risk from concept to production, and architect and build retrieval-augmented generation (RAG) pipelines and evaluators, ensuring factuality, privacy, and cost/performance balance.

You will develop and ship models and services hands-on in Python; write high-quality, tested code and drive code reviews in GitHub, query and transform data with SQL; partner closely with data engineering to model lineage and build reliable pipelines using dbt on Snowflake (or similar modern data stack).

You will apply traditional ML where appropriate and integrate with GenAI approaches; choose the simplest method that meets risk and performance requirements. Additionally, you will produce using MLOps/LLMOps best practices and embed robust risk & model governance.

You will lead cross-functional partnerships with Risk/Compliance, Legal, Security, Product, and Engineering; translate risk policy into technical requirements and communicate trade-offs to senior stakeholders. You will mentor and upskill data scientists/analysts; establish reusable components, templates, and internal best practices for GenAI in risk.

Your work will materially improve how risk is identified, assessed, and mitigated—shortening investigation cycles, reducing false positives, automating manual controls, and strengthening regulatory compliance while enabling the business to move faster with confidence.

You will be based in Europe as part of our Risk Technology & AI team. This team partners with risk and business leaders to modernize controls, streamline operations, and unlock value from data and AI across the enterprise.

Your Qualifications and Skills

• Bachelor’s degree or equivalent work experience required (e.g. Computer Science)
• 5-10 years of experience working in data roles in a professional environment
• Deep expertise in Python and strong SQL; hands-on experience with dbt and Snowflake preferred
• Fluency with GitHub and DevOps/infra concepts
• Practical GenAI experience: building RAG systems, embeddings, evaluation harnesses, guardrails/content filters
• Solid grounding in traditional ML and statistical methods
• Understanding of model governance and risk management standards
• Strong product thinking and stakeholder management