Data Science Manager

JR United Kingdom; Wolverhampton; Hybrid; GBP 120,000 - 130,000; Full time

Job summary

A top-quartile Lloyd’s syndicate is seeking an experienced Data Science Manager to lead innovation in underwriting and digital strategy in a hybrid role. You will manage a team, oversee impactful data projects, and drive AI-based automation while working closely with underwriting and actuarial teams in Central London.

Qualifications

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

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.
• Contribute to pricing innovation, digital trading, and AI-based automation.

Skills

Leadership

Statistical Modelling

Python

Tools

Azure Stack

Power BI

Job description

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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.