Senior Data Scientist

Harnham - Data & Analytics Recruitment; Leicester Forest East; Hybrid; GBP 60,000 - 75,000; Full time

Benefits offered by this job

Hybrid work

Car allowance

Annual bonus

Private medical insurance

Pension

27 days leave

Life Assurance

Health & Wellbeing package

Dental cover

Discounts

Job summary

Harnham – Data & Analytics Recruitment is partnering with a leading UK digital insurance business to hire two Senior Data Scientists into its APP pricing team in Leicester. The role is hybrid with 1 day per week in the office.

You will develop pricing models for car and van insurance, explore new data sources and apply ML techniques to influence commercial decisions. Strong Python/SQL and ML experience are essential; insurance domain experience is a plus.

Qualifications

• Strong Python and SQL experience.
• Commercial Machine Learning experience and predictive modelling background.
• Experience handling large, messy datasets and solving business problems with data.
• Mentoring or supporting junior team members; exposure to model deployment is beneficial.

Responsibilities

• Build predictive ML models using large, complex datasets.
• Develop pricing and customer selection models.
• Create footprint (geospatial) models using alternative data sources.
• Develop residual models to improve claims prediction accuracy.
• Explore novel datasets to improve pricing performance.
• Evolve V1 models to production-ready V2 solutions.
• Collaborate with Pricing, Data Science and Engineering teams.
• Mentor a Graduate Data Scientist and lead projects from concept to delivery.

Skills

Python

SQL

Commercial ML experience

Predictive modelling

Large datasets

Mentoring juniors

Model deployment exposure

Insurance/FS domain

Job description

Senior Data Scientist

Leicester (Hybrid - 1 Day Per Week)

£60,000-£75,000 + £5,000 Car Allowance + 10% Bonus + Outstanding Benefits

THE COMPANY

We’re exclusively partnering with one of the UK's leading digital insurance businesses to hire two Senior Data Scientists into its highly regarded Alternative Pricing Product (APP) team.

With over four million customers and significant investment in Data Science, Machine Learning and digital transformation, the business has built one of the strongest pricing and analytics capabilities in UK insurance. This is a genuinely innovative environment where Data Scientists are encouraged to challenge conventional pricing methods, explore new data sources and develop cutting-edge machine learning solutions that directly influence commercial decisions.

THE ROLE

Joining a specialist team of six Data Scientists and Analysts, you'll play a key role in developing the next generation of pricing models across car and van insurance.

Rather than maintaining existing models, you'll be encouraged to challenge traditional pricing approaches by exploring new datasets and applying innovative machine learning techniques to solve complex commercial problems.

Responsibilities include:

• Building predictive machine learning models using large, complex datasets
• Developing innovative pricing and customer selection models
• Creating footprint (geospatial) models using alternative data sources
• Developing residual models to improve claims prediction accuracy
• Exploring novel datasets to improve pricing performance
• Taking existing V1 models and evolving them into production-ready V2 solutions
• Working closely with Pricing, Data Science and Engineering teams
• Mentoring a Graduate Data Scientist while leading your own projects from concept through to delivery

YOUR SKILLS AND EXPERIENCE

• Strong Python and SQL experience
• Commercial Machine Learning experience
• Strong predictive modelling background
• Comfortable working with large, messy datasets
• Experience solving complex business problems using data
• Experience mentoring or supporting junior team members
• Exposure to model deployment is beneficial but not essential
• Experience within Insurance, Financial Services, Gaming or another digital-first business is advantageous

Experience with Azure Machine Learning, Graph-based models or geospatial modelling would be beneficial but is not essential.

THE BENEFITS

• Salary up to £75,000 (up to £80,000 for exceptional candidates)
• £5,000 annual car allowance
• 10% target bonus (up to 20%)
• Hybrid working (1 day per week in the office)
• Choice of London or Leicester or Bexhill office, with monthly London travel fully expensed
• Private Medical Insurance
• 10% matched pension
• 27 days annual leave plus bank holidays
• Buy or sell up to 5 days annual leave
• Life Assurance and Income Protection
• Health & Wellbeing package
• Optional dental cover
• Discounts on company products

INTERVIEW PROCESS

• 30-minute introductory conversation with the Hiring Manager
• Take-home case study followed by a 20-minute presentation and technical discussion
• Final leadership and team-fit interview