Lead Data Scientist

Location: Greater London

Lead Data Scientist page is loaded## Lead Data Scientist remote type:
Hybrid locations:
London time type:
Full time posted on:
Posted Todayjob requisition :
R0018834
** Job Type:
** Permanent
* * Build a brilliant future with Hiscox
**** Reporting to:
Re & ILS Head of Data
***
* Location:

** London Type:
Permanent
** Role Overview
** The Lead Data Scientist is a crucial member of the
** extended
* * RE&ILS Tech Leadership Team, responsible for building, leading, and nurturing a highly capable (New)
** Data Science and Machine Learning
** chapter.

This role facilitates the successful delivery of new AI Cloud-based solutions against our growing list of business use cases (involving complex Data Analytics, Machine Learning, and AI Agent based solutions).You will co-lead the new Data Science chapter with the RE&ILS Head of Data and help ensure its members provide Data Science capabilities and insights to support decision-making across RE&ILS strategic Value Streams.

Whilst the chapter grows, you are expected to be
** hands-on
** actively helping to architect, design, and build AI or Data Science-based solutions, using internally trained models, LLMs and/or a combination of both.

Whilst undertaking this pioneering work it is essential that you and your entire chapter operates within the boundaries of the
** Group AI Governance Framework
** and maintains rigorous data governance standards. You will be accountable of this adherence.

This is likely to be your first managerial role and the first time you have had one or more direct reports – having previously been a Senior Data Scientist or Machine Learning Engineer yourself. In this role you will be responsible for the management of a 1 to 4 junior and mid-level Hiscox FTEs and Partner resources too. You will be expected to support the Head of Data with attracting and retaining the best talent;

helping to manage their career progression and ensure they are highly engaged, find the work fulfilling, and have the ability to rapidly deliver value to the business. As this is likely to be your first managerial role you will be supported and guided by other Data Leaders – Head of Data and the Hiscox Group Head of Data Science as well.
** About Hiscox Re & ILS
** Hiscox Re & ILS is located in
** Bermuda and London
** and underwrites reinsurance risks from around the world on behalf of our own and other people’s capital. The team of over 100 smart, enthusiastic individuals are committed to providing top quality service to brokers and clients across a broad range of reinsurance products. Our approach is simple; match the best underwriting risk against globally diversified capital. Our proactive, product-led underwriting approach is complemented by a commitment to world class service and purpose-built analytics and systems.

We know our people are our biggest asset so finding and retaining the best talent is critical to achieving our vision.
** Key Responsibilities
**** 1. Chapter Leadership & Talent Management**
* ** People Management:
** Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers (expected to grow to over the next few years), including both Hiscox FTE and Partner colleagues. Inspire chapter members to be curious, embrace new ideas, and nurture
** psychological safety
** to help build a high-performance culture.
* In this role you will manage at least one to two Hiscox data scientists and some partner resources too. You will be expected to manage their performance with relevant PDRs and help to calibrate their overall performance ratings with other people managers in the team. You will work with the Head of Data and Group Head of Data Science to help tailor the training needs to suit each individual and ensure they have the opportunity to grow and progress in their chosen career paths.
* ** Culture & Development:
** Cultivate a collaborative, engaged, and fulfilled team culture. Provide technical leadership, career guidance, and direction to the team, ensuring successful delegation to all chapter members.
* ** Best Practice:
** Ensure the chapter adheres to best practices in data science, AI, and complex analytics,…