Data Science Manager

Gravitas Recruitment Group (Global) Ltd; City Of London; Hybrid; GBP 120,000 - 130,000; Full time

Job summary

A leading company in the Lloyd’s market is seeking a Data Science Manager to spearhead innovation in underwriting and pricing. This role involves leading a team, developing ML models, and collaborating across departments to enhance data-driven decision-making. The position offers a competitive salary and a hybrid working model, ensuring flexibility while driving impactful projects.

Qualifications

• Proven experience in a senior Data Science position (Lloyd’s/insurance preferred).
• Strong Python and statistical modelling expertise.

Responsibilities

• Lead the Data Science function and manage a team of 2 Data Scientists.
• Build and deploy ML models to support underwriting and portfolio decisions.
• Drive data integration across dashboards, assets, and tools.

Skills

Python

Statistical Modelling

Leadership

Stakeholder Management

Tools

Azure Data Factory

Azure Synapse

Power BI

DevOps

Job description

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Gravitas Recruitment Group (Global) Ltd provided pay range

This range is provided by Gravitas Recruitment Group (Global) Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Working with companies to secure the best data talent | Insurance Data & Analytics | Data Science | Machine Learning | AI

Data Science Manager | Lloyd’s Market | London (Hybrid, 3 Days On-Site)

We're recruiting on behalf of a top-quartile Lloyd’s syndicate seeking an experienced Data Science Manager to lead innovation across underwriting, pricing, and digital strategy.

You’ll own and deliver impactful projects like Risk Ranking and ML-based profitability analysis—embedding data science into core decision-making and business operations.

Location: Central London (Hybrid: 3 days/week in-office)

Base Salary: Up to £120,000 (flexible up to £130,000)

Bonus: 30–60% of base salary

What you’ll be doing:

• Lead the Data Science function and manage a team of 2 Data Scientists
• Build and deploy ML models to support underwriting and portfolio decisions
• Work closely with underwriters, actuaries, and engineers to shape strategy
• Contribute to pricing innovation, digital trading, and AI-based automation
• Drive data integration across dashboards, assets, and tools

What we're looking for:

• Proven experience in a senior Data Science position (Lloyd’s/insurance preferred)
• Strong Python and statistical modelling expertise
• Leadership and stakeholder management experience
• Exposure to Azure stack: Data Factory, Synapse, Power BI, DevOps

If this role is of interest please apply now as we will be submitting candidates immediately.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Insurance and Data Infrastructure and Analytics

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