Senior Pricing Data Scientist

Harnham; London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading InsurTech company in London is seeking a skilled professional to lead their conversion rate and market modelling function. You will play a crucial role in enhancing models and influencing strategic decisions, working within a talented team. This position offers hybrid working and a competitive salary, making it an excellent opportunity for professionals in the insurance analytics space.

Benefits

Competitive Salary

Hybrid Working

Holiday Entitlement

Qualifications

• 4+ years experience in insurance analytics.
• Home insurance experience is ideal.

Responsibilities

• Lead conversion rate and market model development.
• Analyse price elasticity and competitiveness.
• Utilise price comparison data for strategic decisions.

Skills

Model Development

Price Elasticity Analysis

Insurance Analytics

Tools

Open-source Software

Job description

LONDON, HYBRID WORKING (1 DAY PER WEEK IN THE OFFICE)

In this growth role, you’ll be working in a talented team and leading the conversion rate and market modelling function within the team, working on scaling an already fast-growing InsurTech.

THE COMPANY

This InsurTech is a data-driven and innovative organisation that leverages its advanced modelling techniques to provide specialist insurance products. You’ll be working in a close-knit team and joining at the beginning of their expansion.

THE ROLE

• Understand and analyse price elasticity and competitiveness in the market, implementing enhancements to models where required.
• Lead the conversion rate model and market model development, working across end-to-end modelling
• Utilise price comparison data to influence strategic decision-making and model inputs

YOUR SKILLS AND EXPERIENCE

• Experience developing models in open-source software
• Home insurance experience is ideal
• 4 years + experience in the insurance analytics space

THE BENEFITS

• Competitive salary up to £80,000
• Hybrid working (1 day in office per week)
• Holiday entitlement

HOW TO APPLY

Please register your interest via the apply link on this page, or send your CV directly to [e-mail]

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