Senior Data Scientist

Harnham; Greater London; Remote; GBP 60,000 - 75,000; Full time

Job summary

An exciting scale-up in the insurance sector is seeking a Senior Pricing Data Scientist to revolutionize pricing strategies using advanced machine learning techniques. This role offers the chance to develop sophisticated pricing models and optimize predictive capabilities in a dynamic and innovative environment. If you are passionate about data-driven solutions and eager to make a significant impact, this is the perfect opportunity for you.

Qualifications

• Strong expertise in Python and SQL for data analysis and model development.
• Deep understanding of machine learning algorithms and predictive modeling.

Responsibilities

• Develop and refine ML-driven pricing models to enhance profitability.
• Collaborate with stakeholders across engineering, product, and data teams.

Skills

Python

SQL

Machine Learning

Statistical Analysis

Problem-Solving

Communication Skills

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Building Data Science and Machine Learning Teams in the UK | The Talent Driving The Data and AI Revolution

Senior Pricing Data Scientist (FTC - With the view to go permanent)

UK – Remote

Up to £75,000

We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation processes. This is an excellent opportunity for a data-driven professional eager to make a significant impact in a cutting-edge environment.

As a Pricing Data Scientist, you will play a crucial role in leveraging machine learning techniques to refine pricing strategies and improve business outcomes. You will work closely with engineers and analysts to implement scalable pricing solutions and continuously monitor performance.

Key Responsibilities

• Develop and refine ML-driven pricing models to enhance risk assessment and profitability.
• Apply advanced statistical and machine learning techniques to optimize pricing accuracy.
• Automate and streamline pricing model deployment for continuous improvement.
• Collaborate with key stakeholders across engineering, product, and data teams.
• Monitor and assess model performance, iterating as needed to drive business value.
• Conduct A/B testing and impact analysis to assess pricing effectiveness.
• Ensure regulatory compliance while fostering innovation in pricing methodologies.

What We’re Looking For

• Strong expertise in Python and SQL for data analysis and model development.
• Experience with pricing models, actuarial techniques, or risk modeling.
• Deep understanding of machine learning algorithms, predictive modeling, and statistical analysis.
• Hands-on experience in automating and deploying machine learning models.
• Proven ability to translate complex data into actionable pricing insights.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills and experience working in cross-functional teams.

If this role looks of interest, please reach out to Joseph Gregory

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst, Engineering, and Science

• Industries

  Insurance

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