Enable job alerts via email!

Pricing Data Scientist

ZipRecruiter

London

On-site

GBP 50,000 - 65,000

Full time

27 days ago

Boost your interview chances

Create a job specific, tailored resume for higher success rate.

Job summary

An innovative motor insurtech company is seeking a talented Pricing Data Scientist to revolutionize the insurance industry. In this exciting role, you'll develop and refine pricing models using advanced statistical and machine learning techniques, analyze large data sets to identify trends, and implement data-driven decision-making processes. Collaborating with cross-functional teams, you'll drive innovation in pricing strategies while ensuring portfolio profitability. If you're passionate about data science and eager to make a significant impact in a fast-growing company, this opportunity is perfect for you.

Qualifications

  • Experience in data science and pricing analytics in insurance or fintech.
  • Strong expertise in statistical modelling and machine learning.

Responsibilities

  • Develop pricing models using statistical and machine learning techniques.
  • Analyse data sets to identify trends and customer behaviours.
  • Collaborate with teams to deploy innovative pricing strategies.

Skills

Data Science
Statistical Modelling
Machine Learning
Data Analysis
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

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

REQUIREMENTS

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

HOW TO APPLY

Please send CV below or

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.