Lead Data Scientist
London
Apply: London: Full time: Posted Today: End Date: October 23, 2026 (23 days left to apply): R # Who are we?
Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 24,000 employees spanning over 56 countries.
People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like‑minded people driving change at Howden.
Senior Data Scientist
Location: London
Department: Group Data & Analytics
Reporting to: Senior Data Science Manager
About the Role
Howden Group Holdings, a leading international insurance broker operating in over 100 countries,is seeking an experienced Lead Data Scientist to join our Group Data Science team.
This is a senior individual contributor role for a highly capable practitioner who has successfully delivered machine learning and AI products from concept through to production within large, complex organisations. The successful candidate will combine deep technical expertise with strong commercial acumen, helping shape and deliver scalable AI and machine learning solutions that drive measurable business outcomes across Howden’s global operations.
Working closely with business stakeholders, data engineers, and platform teams, you will lead the technical delivery of high‑value data science and AI initiatives, ensuring solutions are production‑ready, scalable, and adopted by the business. You will act as a technical leader and trusted advisor, helping to establish best practices while contributing directly to hands‑on delivery.
RoleResponsibilities
Your Skills
Why Join Howden?
At Howden, we are building data and AI capabilities that directly support our growth ambitions across the Group. As a Lead Data Scientist, you will have the opportunity to work on meaningful business challenges, develop innovative AI products, and help shape the future of data‑driven decision making across an employee‑owned global organisation.
You will join a collaborative and entrepreneurial environment where technical excellence, innovation, and commercial impact are valued equally. Working alongside talented colleagues from across the business, you will play a key role in turning advanced analytics and AI into measurable outcomes for Howden and its clients.
A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:
We’re committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.
*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.
Permanent
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Full job description from WhatJobs. Apply for this role →
London
Apply: London: Full time: Posted Today: End Date: October 23, 2026 (23 days left to apply): R # Who are we?
London
Apply: London: Full time: Posted Today: End Date: October 23, 2026 (23 days left to apply): R # Who are we?
London
Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance.
London
Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance.
London
Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance.
London
In this Lead Data Scientist role, you will drive end-to-end ML/AI projects from discovery to production, shaping Howden’s AI capabilities at scale.
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