Principal Data Scientist (UK)
TWG Global
- London, England, United Kingdom
- London, England, United Kingdom
About
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, while strategic partnerships with top data and AI vendors fuel game‑changing efforts in marketing, operations, and product development.
Role As a Principal Data Scientist, you will serve as the senior technical leader within the UK Data Science team, reporting to the Head of UK AI & Data Science. You will lead the design and execution of high‑impact AI and data science initiatives, working hand‑in‑hand with embedded ML Engineers to move prototypes into production‑ready pilots that deliver measurable business outcomes. You will scope and frame complex business problems, develop advanced models, mentor a team of data scientists, and ensure all projects align with firm‑wide priorities and responsible AI practices.
Key Responsibilities
Lead the design and delivery of flagship AI/ML projects that drive measurable value across financial services and adjacent sectors.
Act as senior technical authority on advanced methods (generative AI, causal inference, LLM‑based analytics, RAG, simulation).
Partner closely with embedded ML Engineers to operationalize models into production‑ready pilots.
Collaborate with central engineering, data, and product teams to hand off successful pilots for scaling, governance, and long‑term adoption.
Translate complex business challenges into enterprise‑level AI solutions with tangible ROI.
Mentor and guide UK data scientists, fostering technical excellence, rigor, and responsible AI adoption.
Partner with senior stakeholders, including MDs and executive committees, to ensure AI initiatives align with priorities.
Represent TWG Global in external forums, universities, regulators, and partnerships with technology leaders.
Define and enforce standards for experimentation, reproducibility, and responsible AI.
Stay ahead of emerging AI/ML trends, advising on adoption and capability building for the UK hub.
Qualifications
8+ years of experience in data science or machine learning, with proven delivery of enterprise‑impact projects.
Deep expertise in advanced machine learning, causal inference, deep learning, and statistical modeling.
Demonstrated success leading end‑to‑end projects and influencing senior stakeholders.
Hands‑on technical depth in Python (or R), cloud platforms, and modern ML frameworks.
Experience mentoring or leading small, high‑performing teams.
PhD or equivalent advanced degree in Data Science, Statistics, Computer Science, or related quantitative discipline.
Recognized as a technical thought leader through publications, external talks, or open‑source contributions.
Preferred Experience
Experience using Palantir platforms (Foundry, AIP, Ontology) to develop and operationalize insights.
Familiarity with LLM application frameworks, vector databases, and knowledge graphs.
Publications in top‑tier AI/ML or data science conferences/journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA).
Contributions to the open‑source data science/ML ecosystem (libraries, frameworks, widely adopted tools).
Track record of thought leadership (invited talks, keynotes, conference leadership roles).
Experience establishing standards for reproducibility, experimentation, and responsible AI.
Cloud or AI/ML certifications (AWS, GCP, Azure) are a plus.
Benefits
Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services.
Drive AI transformation for some of the most sophisticated financial entities.
Competitive compensation, benefits, future equity options, and leadership opportunities.
This is a hybrid position based in the United Kingdom. We offer a competitive base pay, a discretionary bonus, and a full range of medical, financial, and other benefits.
TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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Languages
- English
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