Pricing Data Scientist

ZipRecruiter; London; Hybrid; GBP 55,000 - 65,000; Full time

Job summary

A fast-growing motor insurtech company seeks a skilled Pricing Data Scientist in a hybrid role based in London. This position focuses on developing advanced pricing models and leveraging data to enhance underwriting accuracy and competitive pricing strategies. Ideal candidates will have a strong background in data science and pricing analytics, particularly in insurance or fintech sectors.

Qualifications

• Strong experience in data science and pricing analytics within insurance or fintech.
• Expertise in statistical modelling, machine learning, and data analysis techniques.
• Proficiency in programming languages such as Python, R, or SQL.

Responsibilities

• Develop and refine pricing models using statistical and machine learning techniques.
• Analyze large data sets to identify trends and risk factors impacting pricing.
• Collaborate with teams to develop innovative pricing strategies.

Skills

Data Science

Pricing Analytics

Statistical Modelling

Machine Learning

Data Analysis

Programming (Python, R, SQL)

Job description

Job Description

PRICING DATA SCIENTIST

LONDON- HYBRID

UP TO £65,000

Join a fast-growing motor insurtech company, revolutionizing the insurance industry through data-driven insights, innovative pricing models, and cutting-edge technology. They are looking for a talented Pricing Data Scientist to join the dynamic team and drive innovation in motor insurance pricing.

THE ROLE

• Develop and refine pricing models using statistical and machine learning techniques to improve underwriting accuracy and risk assessment.
• Analyse large data sets to identify trends, customer behaviours, and risk factors that impact pricing strategies.
• Implement data-driven decision-making processes to enhance competitive pricing while maintaining portfolio profitability.
• Collaborate with actuarial, underwriting, product, and technology teams to develop and deploy innovative pricing strategies.
• Continuously monitor and evaluate model performance, making data-backed improvements as needed.

REQUIREMENTS

• Strong experience in data science, pricing analytics within insurance or fintech industries.
• Expertise in statistical modelling, machine learning, and data analysis techniques.
• Proficiency in programming such as Python, R, or SQL.

HOW TO APPLY

Please send CV below