Data Science Manager

Liberty Specialty Markets
London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science / Data Mining Specialist

Data Scientist - 60k - 80k - Leeds (Hybrid) - AI / FinTech SaaS

Data Scientist

Data Scientist

Senior Data Scientist

Senior Machine Learning Engineer

About the Role:


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.

About Liberty International Insurance
LII is part of Global Risk Solutions and the broader Liberty Mutual Insurance Group, which is a leading global insurer. We offer a breadth of world-class insurance and reinsurance services to brokers and customers in all major markets across the globe.
Our people are key to our success. That is why “Put People First” is one of the five Liberty values which unite us as a global organisation. We bring this to life for our colleagues through:
• Offering a vibrant and inclusive environment and committing to their career development. • Promoting diversity, equity and inclusion (DEI). Our Inclusion Matters framework and employee-led networks strengthen the diversity of our workforce and our inclusive environment. • Reinforcing that collaborating together to share our unique perspectives help us make better decisions, deliver innovative solutions and pursue our ambitious goals. • A supportive culture, which includes promoting a healthy work-life balance and working flexibly.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.