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- Tasks: Lead a groundbreaking project automating broker underwriting and mentor a talented team.
- Company: Dynamic insurance company focused on innovation and growth.
- Benefits: Competitive bonus, pension, private medical coverage, and generous leave policies.
- Other info: Join a supportive culture that values independence and continuous learning.
- Why this job: Make a real impact in a transformative role with cutting-edge AI technology.
- Qualifications: Strong Data Science background, Python skills, and experience in leading projects.
The predicted salary is between 80000 - 100000 £ per year.
Our data function is currently in a phase of significant transformation, elevating data maturity to accelerate business growth and operational efficiency. We are looking for a Lead Data Scientist to join us and bridge the gap between high-level technical strategy and hands-on execution. This is a unique opportunity to lead a greenfield project focused on automating broker underwriting. Your work will directly impact our operations as we scale this solution to 100 clients over the next 18 months. You will join a collaborative environment that balances commercial focus with a commitment to continuous, product-centric improvement.
What You’ll Be Doing
- Lead the end-to-end delivery of a high-impact, greenfield broker underwriting automation project.
- Mentor and grow a team of 5–8 data scientists and machine learning engineers, fostering their professional development.
- Architect and implement agentic AI workflows and machine learning models, primarily using Google Cloud Platform (GCP).
- Define and maintain pragmatic technical governance to ensure our solutions are scalable, repeatable, and robust.
- Balance your time between high-level leadership and hands-on contribution (approximately a 75/25 split).
- Engage with stakeholders across the business to translate complex requirements into actionable technical roadmaps.
- Champion a culture of rapid prototyping, experimentation, and iterative delivery across the wider technology group.
What They’re Looking For
Essential
- Strong technical background in Data Science and Machine Learning, with deep Python proficiency.
- Proven experience leading technical projects and mentoring/coaching junior team members.
- Hands-on experience building agentic AI workflows, including prompt/context engineering and RAG.
- Expertise with Google Cloud Platform (GCP) and a track record of deploying production-grade solutions.
- Ability to switch effectively between strategic governance and active technical contribution.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
Nice to Have
- Previous experience in direct line management.
- Domain expertise within the insurance or financial services industry.
- Familiarity with Azure or BigQuery environments.
Why Join?
You will be joining a team that values independence, flexibility, and tangible impact. Our organization is committed to creating an environment where you can do your best work, supported by a hybrid model that balances structure with personal autonomy.
Growth & Impact: Lead a greenfield project that is central to the future of our underwriting.
Supportive Culture: Work alongside a talented, diverse group that prioritises continuous learning.
Benefits: Competitive bonus scheme, contributory pension, and private medical coverage for the whole family.
Well-being: 25 days annual leave plus additional company holidays, and a 4-week paid sabbatical for every 5 years of service.
Lead Data Scientist | Insurance | London | Shaping Greenfield Agentic AI & Automation employer: numi
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist | Insurance | London | Shaping Greenfield Agentic AI & Automation
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data science and machine learning. Use platforms like GitHub to share your code and demonstrate your expertise in Python and GCP. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data science roles. Think about how you would lead a project or mentor a team. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in leaving a positive impression. Mention something specific from your conversation to show you were engaged and are genuinely interested in the role. And remember, applying through our website is always a great option!
We think you need these skills to ace Lead Data Scientist | Insurance | London | Shaping Greenfield Agentic AI & Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Scientist. Highlight your experience with Python, GCP, and any relevant projects that showcase your ability to lead and mentor a team.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about this role and how your background aligns with our mission. Don’t just repeat your CV; give us insights into your personality and approach to problem-solving.
Showcase Your Projects: If you've worked on greenfield projects or have experience in automating processes, make sure to include those examples. We love seeing how you’ve made an impact in previous roles!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at numi
✨Know Your Data Science Stuff
Make sure you brush up on your data science and machine learning knowledge, especially in Python. Be ready to discuss your hands-on experience with agentic AI workflows and how you've implemented them in past projects.
✨Show Off Your Leadership Skills
Since this role involves mentoring a team, be prepared to share examples of how you've led projects and developed junior team members. Highlight your experience in balancing strategic oversight with hands-on contributions.
✨Communicate Like a Pro
Practice explaining complex technical concepts in simple terms. You'll need to engage with non-technical stakeholders, so demonstrating your ability to bridge that gap will be crucial during the interview.
✨Get Familiar with GCP
As Google Cloud Platform is a key part of this role, make sure you're comfortable discussing your experience with it. Be ready to talk about specific projects where you've deployed production-grade solutions using GCP.