Senior Data Scientist: End-to-End ML/MLOps in Insurance

Morson Edge (Financial Services); Greater London; Hybrid; GBP 81,000 - 99,000; Full time

Benefits offered by this job

Hybrid work 3 days in Office

20% bonus

Job summary

Lloyd's Syndicate in London seeks a Senior Data Scientist to own end-to-end modelling, take models into production, monitor performance and retraining decisions. You will work closely with underwriters and the actuarial team, delivering value across underwriting profitability and automation.

The stack is Python on Azure, with a strong emphasis on engineering and MLOps, including model versioning, CI/CD, monitoring, and potential use of generative AI.

Qualifications

• Strong Python written to production standard with testing and reviews.
• Models taken into production and supported in life.
• Experience with ML toolkit: scikit-learn, pandas, NumPy, statsmodels.
• MLOps and CI/CD practices including deployment and monitoring.
• Cloud ML delivery with Azure (Azure ML, Azure DevOps); AWS/GCP acceptable.
• SQL and relational data modeling on large datasets.
• Version control, branching, automated testing, environment management.
• Solid statistical foundations.
• Insurance experience Lloyd's or London Market is a plus.
• Experience deploying LLM-based solutions; PySpark or Power BI is a plus.

Responsibilities

• Own end-to-end data science lifecycle from modelling to production.
• Monitor performance and drift; decide retraining needs.
• Collaborate with underwriting and actuarial teams.
• Coach data scientists and analysts; influence roadmap.

Skills

Python production code

Model deployment in production

Machine learning (scikit-learn/pandas/

MLOps & CI/CD

Azure (Azure ML)

AWS or GCP

SQL & relational modeling

Version control & testing

Statistics foundations

LLM deployment

Tools

Azure ML

Azure DevOps

Power BI

PySpark

AWS

Job description

Lloyd's Syndicate in London seeks a Senior Data Scientist to own end-to-end modelling, take models into production, monitor performance and retraining decisions. You will work closely with underwriters and the actuarial team, delivering value across underwriting profitability and automation.

The stack is Python on Azure, with a strong emphasis on engineering and MLOps, including model versioning, CI/CD, monitoring, and potential use of generative AI.