Data Science Manager

JR United Kingdom; Sheffield; Hybrid; GBP 100,000 - 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 strategies. This hybrid role offers a competitive salary and the opportunity to lead a small team in deploying machine learning models to enhance business operations. If you have a proven senior experience in Data Science, particularly in insurance, this could be the next step in your career.

Qualifications

• Proven experience in a senior Data Science position, preferably in Lloyd’s/insurance.
• Strong Python and statistical modelling expertise required.
• Experience leading teams and managing stakeholders is essential.

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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Data Science Manager, sheffield, south yorkshire

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Client:

Location:

sheffield, south yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

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.