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- Tasks: Lead ML projects and manage a team of Data Scientists in a dynamic environment.
- Company: Join a leading insurer in the Lloyd’s market, known for innovation and analytics.
- Benefits: Enjoy hybrid work options and the chance to shape advanced analytics.
- Why this job: Be at the forefront of underwriting insights and automation with a collaborative team.
- Qualifications: Strong Data Science background, leadership experience, and advanced Python skills required.
- Other info: Experience with Azure stack is preferred; ideal for commercially minded data leaders.
The predicted salary is between 48000 - 72000 £ per year.
A leading insurer in the Lloyd’s market is seeking a Data Science Manager to lead key analytics initiatives driving underwriting insight, automation, and pricing improvements.
Key Responsibilities:
- Lead ML projects (e.g. Risk Ranking, Digital-Follow, Pricing Analysis).
- Collaborate with Underwriters, Actuaries & Engineers to embed models into business tools.
- Manage a team of Data Scientists, ensuring strategic project delivery.
- Define data requirements and drive insight through dashboards and automation.
- Support governance through participation in pricing and design groups.
Required Skills:
- Strong background in Data Science, ideally insurance/Lloyd’s.
- Advanced Python & statistical modelling skills.
- Leadership experience with technical and stakeholder engagement.
- Azure stack (Data Factory, Synapse, Power BI) experience preferred.
A great role for a commercially minded data leader ready to shape advanced analytics in a dynamic underwriting environment.
Data Science Manager (London Area) employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Manager (London Area)
✨Tip Number 1
Familiarise yourself with the specific challenges and trends in the insurance industry, particularly within the Lloyd's market. Understanding these nuances will help you demonstrate your knowledge during interviews and show how you can lead analytics initiatives effectively.
✨Tip Number 2
Network with professionals in the data science and insurance sectors. Attend industry events or webinars to connect with potential colleagues and learn about their experiences. This can provide valuable insights and may even lead to referrals for the position.
✨Tip Number 3
Brush up on your leadership skills, especially in managing technical teams. Be prepared to discuss your previous experiences in leading projects and how you engaged with stakeholders to drive successful outcomes.
✨Tip Number 4
Gain hands-on experience with the Azure stack, particularly Data Factory, Synapse, and Power BI. Familiarity with these tools will not only enhance your technical skills but also demonstrate your readiness to hit the ground running in this role.
We think you need these skills to ace Data Science Manager (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly in the insurance sector. Emphasise your leadership roles and any specific projects related to machine learning and analytics that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and your understanding of the insurance industry. Mention specific skills like Python and Azure stack experience, and how they relate to the responsibilities of the Data Science Manager role.
Highlight Relevant Projects: In your application, include examples of past projects where you led teams or implemented machine learning solutions. Detail the impact these projects had on business outcomes, especially in underwriting or pricing improvements.
Showcase Collaboration Skills: Since the role involves collaboration with Underwriters, Actuaries, and Engineers, mention any relevant experiences where you successfully worked with cross-functional teams. This will demonstrate your ability to engage stakeholders effectively.
How to prepare for a job interview at Arthur Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your advanced Python and statistical modelling skills in detail. Bring examples of past projects where you've successfully applied these skills, especially in the insurance sector.
✨Demonstrate Leadership Experience
Highlight your experience in managing teams and leading projects. Be ready to share specific instances where you guided a team through challenges or drove strategic project delivery.
✨Understand the Business Context
Familiarise yourself with the Lloyd’s market and the specific challenges faced by insurers. This will help you articulate how your data science initiatives can drive underwriting insights and pricing improvements.
✨Prepare for Stakeholder Engagement
Since collaboration with Underwriters, Actuaries, and Engineers is key, think of examples where you've successfully engaged stakeholders. Be ready to discuss how you can embed models into business tools effectively.
