Staff Data Scientist (UK), TWG Global AI, GB

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.

We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development.

You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.

At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.

The Role:

As the Staff Data Scientist (VP) on the AI Science team, you will be responsible for designing and leading high-impact data science initiatives that drive business value across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in shaping data-driven strategy, developing advanced statistical and machine learning models, and delivering insights that inform decision-making, optimize operations, and uncover new growth opportunities. You will act as both a technical thought leader and a strategic partner, fostering a culture of rigorous experimentation, reproducibility, and responsible AI adoption while mentoring the next generation of data scientists.

Responsibilities:

• Lead the design and execution of data science projects that solve complex business problems across critical workflows.
• Develop and apply advanced AI/ML methods including statistical modeling, causal inference, forecasting, optimization, and machine learning.
• Partner with stakeholders to translate business challenges into analytical frameworks, ensuring results are actionable and aligned with strategic priorities.
• Drive the adoption of emerging analytical techniques and tools (e.g., generative AI, LLM-based analytics, simulation modeling, RAG for knowledge discovery).
• Collaborate with ML engineers to scale prototypes into production-ready systems, ensuring reliability, fairness, and generalizability.
• Design and maintain metrics and experiments (A/B testing, uplift modeling, KPI design) to measure model and business impact.
• Communicate findings through compelling data storytelling, dashboards, and executive-level presentations.
• Provide thought leadership in responsible AI practices, ensuring transparency, fairness, and compliance with internal governance and external regulations.
• Mentor and guide other data scientists, fostering technical excellence, innovation, and collaboration across the team.