At a Glance
- Tasks: Lead a dynamic team of Data Scientists and build innovative AI solutions.
- Company: Join Hiscox, a forward-thinking company at the forefront of data science.
- Benefits: Enjoy competitive salary, career growth, and a supportive work culture.
- Other info: Collaborative environment with opportunities for innovation and personal development.
- Why this job: Be a catalyst for AI adoption and make a real impact in the industry.
- Qualifications: Experience in data science and a passion for leadership.
The predicted salary is between 60000 - 80000 £ per year.
Build a brilliant future with Hiscox.
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 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. 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. It is essential that you and your entire chapter operate within the boundaries of the Group AI Governance Framework and maintain rigorous data governance standards.
Key Responsibilities
- Chapter Leadership & Talent Management
- Lead, recruit, mentor, coach, train, and retain a high-performing chapter of Data Scientists and Machine Learning Engineers.
- Inspire chapter members to be curious, embrace new ideas, and nurture psychological safety to help build a high-performance culture.
- Manage performance with relevant PDRs and help calibrate overall performance ratings.
- Cultivate a collaborative, engaged, and fulfilled team culture.
- Ensure adherence to best practices in data science, AI, and complex analytics.
- Mentor and educate others in various data science techniques.
- Solution Delivery & ML Ops Excellence
- Get hands-on to help architect, design, and build complex models.
- Work with the Head of Platform Engineering to establish and maintain a professional ML Ops platform.
- Empower the chapter to work effectively within autonomous squads.
- Collaborate with Data Engineering and other teams to understand and contribute to data pipelines/products.
- Strategy, Governance & Innovation
- Work with key business leaders to identify new use cases and opportunities.
- Champion data and model governance within the Group AI Governance Framework.
- Maintain awareness of new trends and techniques in Data Science, AI, and Machine Learning.
- Ensure clear and effective communication of data science solutions across business layers.
Candidate Profile
The successful candidate will be an energetic, highly capable, and passionate Senior Data Scientist who wants to move into their first people management role. You must balance technical expertise with effective people management and strategic business partnership. You should be comfortable working in an FCA-regulated business, advocating for a data-driven approach, and driving innovation while maintaining rigorous AI governance standards.
Main experience required is:
- Deep Interest in Leadership: Demonstrated excellent traits in mentoring and coaching junior team members.
- Technical Depth: Extensive hands-on experience in architecting, designing, and building complex ML models.
- ML Ops Maturity: Proven ability to build, maintain, and support production-deployed models.
- AI and Data Governance: Mature understanding of AI and Data governance.
- Stakeholder Management: Experience in managing collaboration with business unit leaders and external technology partners.
- Education: Bachelor's/Master's degree in a quantitative field or equivalent.
- Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities.
- Real world experience with applications of Generative AI, LLMs, AI Agents, and related areas.
- Ability to translate complex data science insights into tangible improvements.
- Ability to elevate the technical maturity and capabilities of the data science chapter.
- Educator: Shown the ability to train and coach more junior and mid-level team members.
If you are a visionary expert looking for your first leadership role and ready to accelerate our value delivery and champion all things Data Science and AI, we invite you to apply for the position of Lead Data Scientist at Hiscox Re & ILS.
Lead Data Scientist in Milton Keynes employer: Hiscox Insurance
Hiscox Re & ILS is an exceptional employer located in London, offering a vibrant work culture that prioritises innovation and collaboration. As a Lead Data Scientist, you will have the opportunity to lead a talented team while benefiting from comprehensive career development support and mentorship from experienced data leaders. With a commitment to employee well-being and a focus on delivering cutting-edge AI solutions, Hiscox fosters an environment where your contributions are valued and your professional growth is nurtured.
