Senior Data Scientist

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

Senior Data Scientist | Lloyd's Syndicate | London | Up to £90,000 + Strong Bonus

I'm working with a Lloyd's syndicate who are hiring a Senior Data Scientist into their Data Science and Analytics team, reporting to the Data Science Manager.

The role is end to end. You'll build models and take them into production yourself, then own them in life, monitoring performance and drift and deciding when they need retraining. The work is split between underwriting profitability and automating manual processes across the business, and you'll be working directly with underwriters and the actuarial team throughout.

Stack is Python and Azure, with a strong emphasis on engineering and MLOps standards. There's also scope to bring generative AI into the roadmap. You'll coach the data scientists and analysts in the team and feed into what gets prioritised.

Key Skills Required

• Strong Python written to production standard, with object oriented design, testing and code review as standard practice
• Models you've personally taken into production and supported in life
• Machine learning across the usual toolkit: scikit-learn, pandas, NumPy, statsmodels or similar
• MLOps and CI/CD in practice. Pipeline orchestration, model versioning, automated deployment, monitoring and retraining
• Cloud based ML delivery, ideally Azure (Azure ML, Azure DevOps). Strong AWS or GCP considered
• SQL and relational data modelling against large datasets
• Version control, branching strategy, automated testing, environment management
• Solid statistical foundations

Insurance experience, ideally Lloyd's or London Market, is a big plus. So is deploying LLM based solutions, PySpark or Power BI.

Permanent, up to £90,000 plus 20% bonus, three days a week in the office in the City.