Data Scientist - Insurance, Machine Learning & Pricing Analytics

William Alexander Recruitment Ltd; Greater London; Hybrid; GBP 68,000 - 83,000; Full time

Job summary

William Alexander Recruitment Ltd in London is seeking a Data Scientist to join its Insurance, ML & Pricing Analytics capability. You will design and deploy advanced ML models, collaborating with underwriting and pricing teams to drive business value.

The role requires strong Python development skills, ML deployment experience, and familiarity with MLOps, CI/CD, and model validation. This is a permanent, hybrid position with three days in the London office.

Qualifications

• Demonstratable years' experience in a Data Scientist position.
• Strong Python development skills with experience building and deploying machine learning solutions.
• Experience working with MLOps frameworks and best practices.
• Strong understanding of CI/CD principles and deployment processes.
• Experience developing, tuning, testing, and optimising machine learning models.
• Good understanding of model validation, experimentation, and performance measurement techniques.
• Insurance industry experience is essential.
• Exposure to actuarial modelling and pricing optimisation within insurance is highly desirable and close to essential.
• Excellent communication and stakeholder management skills with the ability to engage effectively with both technical and non-technical audiences.
• A collaborative, hardworking, and pragmatic approach to problem-solving.

Responsibilities

• Design and deliver advanced analytical solutions across the organisation.
• Collaborate with underwriting and pricing teams to influence business strategy and performance.
• Lead and shape ML projects from development to deployment in production.

Skills

Python

ML deployment

MLOps

CI/CD

Model validation

Stakeholder management

Communication

Tools

Databricks

Job description

Data Scientist - Insurance, Machine Learning & Pricing Analytics

Our client, a leading London Market insurer, is seeking a Data Scientist to join their growing Data Science function. Following significant investment and increased adoption of data science across the business, this role offers the opportunity to work on a range of high-impact machine learning and analytics initiatives that are influencing business strategy and underwriting performance.
Reporting directly to the Data Science Manager, you will join a close-knit team of data science professionals and play a key role in shaping and delivering advanced analytical solutions across the organisation.
This is an excellent opportunity for an experienced Data Scientist looking to step into a senior-level position within a business where data science has genuine visibility and support from senior stakeholders.

This is a permanent role paying up to £75,000 and requires 3 days per week in the London office.

Experience Required:

• Demonstratable years' experience in a Data Scientist position
• Strong Python development skills with experience building and deploying machine learning solutions
• Experience working with MLOps frameworks and best practices
• Strong understanding of CI/CD principles and deployment processes
• Experience developing, tuning, testing, and optimising machine learning models
• Good understanding of model validation, experimentation, and performance measurement techniques
• Insurance industry experience is essential
• Exposure to actuarial modelling and pricing optimisation within insurance is highly desirable and close to essential
• Excellent communication and stakeholder management skills with the ability to engage effectively with both technical and non-technical audiences
• A collaborative, hardworking, and pragmatic approach to problem-solving

Desirable Skills:

• Experience with Databricks or similar modern data platforms
• Exposure to pricing, underwriting, or actuarial analytics within the insurance sector

William Alexander Diversity & Inclusion Policy actively promotes the principles of equality, diversity, and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors, and the public. We fully believe an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all, and we approach recruitment for our clients with the same perspective and qualities.