Data Science Manager

Arthur; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Science Manager to spearhead analytics initiatives in a dynamic underwriting environment. This role involves leading machine learning projects and collaborating with underwriters and actuaries to integrate models into business tools. The ideal candidate will possess a strong background in data science, particularly within the insurance sector, and demonstrate leadership capabilities. With a focus on driving insight through advanced analytics, this position offers a unique opportunity to shape the future of data-driven decision-making in a leading insurer's operations.

Qualifications

• Strong background in Data Science, ideally in insurance.
• Experience leading teams and engaging stakeholders.

Responsibilities

• Lead ML projects and collaborate with various teams.
• Manage Data Scientists and drive strategic project delivery.

Skills

Data Science

Python

Statistical Modelling

Leadership

Azure Stack

Tools

Azure Data Factory

Azure Synapse

Power BI

Job description

Job Title:

Data Science Manager

Location:

London / Hybrid

Overview:

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:

1. Lead ML projects (e.g., Risk Ranking, Digital-Follow, Pricing Analysis).
2. Collaborate with Underwriters, Actuaries & Engineers to embed models into business tools.
3. Manage a team of Data Scientists, ensuring strategic project delivery.
4. Define data requirements and drive insight through dashboards and automation.
5. Support governance through participation in pricing and design groups.

Required Skills:

1. Strong background in Data Science, ideally insurance/Lloyd’s.
2. Advanced Python & statistical modelling skills.
3. Leadership experience with technical and stakeholder engagement.
4. Azure stack (Data Factory, Synapse, Power BI) experience preferred.

This role is ideal for a commercially minded data leader eager to shape advanced analytics within a dynamic underwriting environment.