Hybrid Data Scientist — AI in Insurance Analytics

AEGIS London; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

AEGIS London is seeking a Data Scientist to join the hybrid London team. You will work across the full model lifecycle from data prep to deployment, collaborating with the Data Science and Analytics team and underwriters to create data products that drive value in a regulated environment.

The role emphasizes solid Python, ML foundations, SQL, and data wrangling, with opportunities to learn cloud ML (Azure), MLOps, and production monitoring while communicating findings to technical and

Qualifications

• Solid Python for data science with readable, well-structured code.
• Fundamental ML and statistical methods with good validation.
• Strong SQL and data wrangling skills.
• Ability to explain technical work to non-technical colleagues.
• Familiarity with cloud ML and MLOps is a plus.

Responsibilities

• Deliver data science projects from data preparation and exploratory analysis through model development and validation.
• Develop and monitor models in production and contribute to ML pipelines in Azure.
• Collaborate with underwriting, actuarial, IT and Data Engineering to drive business value.
• Produce ad hoc analytics and insights for the business, with clear communication of limitations.

Skills

Python for data science

Machine learning

SQL

Data wrangling

Git

Communication

Tools

Docker

PySpark

Power BI

Azure ML

Job description

AEGIS London is seeking a Data Scientist to join the hybrid London team. You will work across the full model lifecycle from data prep to deployment, collaborating with the Data Science and Analytics team and underwriters to create data products that drive value in a regulated environment.

The role emphasizes solid Python, ML foundations, SQL, and data wrangling, with opportunities to learn cloud ML (Azure), MLOps, and production monitoring while communicating findings to technical and