LII Data Science is seeking a Data Science Manager to lead and inspire a team of data scientists supporting our LII regions. As the people leader for this group, you will drive the growth and retention of top data science talent while ensuring transparency and accountability across all regional AI initiatives.
Your primary focus will be delivering impactful data science solutions aligned with the strategic priorities of your region’s business and actuarial teams. You will cultivate strong relationships with regional business and actuarial leaders, ensuring that their insights and needs are reflected in your team’s project backlog and execution plans. Additionally, you’ll maintain a close partnership with LII delivery leads and collaborate regularly with product managers specializing in AI Automation, AI Augmentation, and Centre of Excellence (CoE) leadership, sharing best practices and driving alignment on priorities.
You will be a key connector between regional and global priorities, balancing local innovation with awareness of broader, cross‑regional objectives and US leadership’s expectations for ROI and strategic impact.
Key Responsibilities
- Lead, coach, and develop a team of data scientists, focusing on their growth, engagement, and retention in the UK/EU and APAC regions.
- Foster a culture of transparency in project execution, communicating status, challenges, and outcomes clearly to stakeholders.
- Build and maintain strong relationships with regional business leaders, actuarial heads, and delivery leads to ensure regional priorities and innovative ideas drive the backlog.
- Collaborate with product managers for AI Automation, AI Augmentation, and the CoE to align on project direction, share resources, and drive synergy in solution delivery.
- Facilitate cross‑functional teamwork to enable delivery of data science solutions that provide tangible business impact and support regional goals.
- Work with US leadership to ensure alignment on business priorities, ROI targets, and strategic objectives, and communicate regional progress and challenges.
- Maintain awareness of cross‑regional initiatives and leverage learnings to enhance your region’s analytics capabilities.
- Oversee the review and improvement of data science tools, processes, and model performance, with input from regional actuarial and business stakeholders.
- Ensure your team stays current with AI, machine learning, and insurance analytics developments, bringing new ideas and methodologies to the region.
- Champion best practices for collaboration, knowledge sharing, and standardized delivery across regions.
Skills and Experience
- Bachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, Actuarial Science, Engineering, or related field.
- Relevant experience in data science or analytics, with some experience in people leadership and mentoring.
- Demonstrated ability to lead a team, drive resource growth and retention, and foster an inclusive, high‑performance culture.
- Strong relationship‑building skills with business leaders, actuarial teams, and cross‑functional partners; ability to turn regional needs into actionable data science projects.
- Solid understanding of insurance business drivers, regional market contexts, and the intersection of actuarial and data science methods.
- Experience collaborating across geographies and with global leadership to align on priorities, ROI, and shared goals.
- Proven record of delivering data science solutions in a fast‑paced, multi‑stakeholder environment.
- Excellent communication skills, with ability to transparently report on execution and engage a variety of technical and non‑technical stakeholders.
- Familiarity with Python and common data science tools; exposure to actuarial analytics is a strong plus.
- Experience in the insurance or financial services industry highly preferred.
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