Overview

At TWG Group Holdings, LLC ("TWG Global"), we drive innovation and business transformation across 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 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. TWG Global is committed to sustained growth and superior returns as we deliver rare value and impact across our businesses.

Note: This is a hybrid position based in the United Kingdom.

We are 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.

The Role

• As Executive Director on the AI Science team, you will lead the design and execution of high-impact AI and data science initiatives that directly shape TWG Global's competitive advantage. Reporting to the Managing Director of AI & Data, you will act as a senior technical leader—driving enterprise-critical projects, setting technical direction, and mentoring a small team of data scientists.
• You will partner closely with senior executives across the firm to align data science solutions with strategic priorities, ensuring adoption of advanced AI methods in a responsible and scalable way. This role requires deep technical expertise coupled with the ability to influence decision-makers and deliver measurable outcomes at the enterprise level.
• Lead execution of flagship AI/ML projects that drive measurable value in financial services and adjacent sectors.
• Act as senior technical authority on advanced AI methods (generative AI, causal inference, LLM-based analytics, RAG, simulation).
• Translate complex business challenges into enterprise-level data science solutions with tangible ROI.
• Mentor and guide a small team of data scientists, fostering technical excellence, rigor, and responsible AI adoption.
• Partner with business leaders, MDs, and executive committees to ensure AI initiatives align with firm-wide priorities.
• Represent TWG Global in external technical forums and partnerships with universities, regulators, and technology leaders.
• Define standards for experimentation, reproducibility, and governance of AI solutions.
• Stay ahead of emerging trends in AI/ML, advising on adoption and firm-wide capability building.

Qualifications

• 10-12+ years of experience in data science or machine learning, with proven delivery of enterprise-impact projects. Strong 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-based platforms, and modern ML frameworks.
• Experience mentoring or leading small, high-performing teams.
• PhD in Data Science, Statistics, Computer Science, or a related quantitative discipline.
• Recognized as a technical thought leader through publications, external talks, or open-source contributions.

Preferred Experience

• Experience working with Palantir platforms (Foundry, AIP, Ontology) to develop, analyze, and operationalize data-driven insights within enterprise-scale environments.
• Publications in top-tier AI/ML or data science conferences or journals (e.g., NeurIPS, ICML, KDD, AAAI, ACL, JASA). Recognized contributions to the open-source data science / ML ecosystem (e.g., libraries, frameworks, toolkits, widely adopted notebooks).
• Track record of thought leadership through invited talks, keynote presentations, or leadership roles in professional societies, conferences, or meetups.
• Experience establishing standards for reproducibility, experimentation, and responsible AI.
• Familiarity with vector databases, knowledge graphs, and LLM application frameworks for advanced analytics. Cloud or AI/ML certifications (e.g., AWS ML Specialty, Google Cloud ML Engineer, Azure AI Engineer) 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.
• Be part of a high-growth AI startup scaling from 30 to 80+ employees.
• Competitive compensation, benefits, future equity options, and leadership opportunities.