Hybrid Insurance Data Scientist | ML & Analytics

SPG Resourcing; York and North Yorkshire; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Pension contributions

Generous annual leave

Flexible & hybrid working

Professional development

Performance incentives

Job summary

SPG Resourcing has a global insurance client seeking a Data Scientist to join a growing analytics team in London Market. You will deliver analytical and predictive models to support strategic and operational decisions, turning data into actionable business insights.

You will collaborate with data engineers, analysts, and stakeholders across pricing and underwriting to design scalable data solutions and communicate value to executives. Hybrid work is offered.

Qualifications

• Degree in STEM or equivalent practical experience.
• Experience in data science, analytics, or machine learning.
• Strong statistics and quantitative analysis knowledge.
• Proficient in Python, R or SQL.
• Familiar with version control, Agile methods, and modern tools.
• Ability to work independently and in small teams.

Responsibilities

• Develop analytical solutions to support business decisions using best practices.
• Handle end-to-end DS lifecycle from data understanding to model deployment.
• Analyze internal and external data to generate insights and predictions.
• Apply ML, statistics, and advanced analytics to solve problems.
• Collaborate with data engineers, analysts, and stakeholders such as pricing and underwriting.
• Present findings clearly to non-technical audiences and show business value.
• Support analytics practice maturity and continuous improvement with new approaches.

Skills

Python

R

SQL

ML

Communication

Education

STEM degree or equivalent

Postgraduate degree in Data Science / ML

Tools

Git

GCP

Pandas

Job description

SPG Resourcing has a global insurance client seeking a Data Scientist to join a growing analytics team in London Market. You will deliver analytical and predictive models to support strategic and operational decisions, turning data into actionable business insights.

You will collaborate with data engineers, analysts, and stakeholders across pricing and underwriting to design scalable data solutions and communicate value to executives. Hybrid work is offered.