Senior Data Scientist

ZipRecruiter; Manchester; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

An insurance provider is looking for a Senior Data Scientist in Manchester or Haywards Heath to develop advanced machine learning models and drive data-driven insights in a hybrid work environment. Candidates should have a strong academic background, experience in commercial pricing, and proficiency in programming languages such as Python and R. The role also emphasizes collaboration and communication skills.

Qualifications

• Experience in data science, specializing in commercial pricing and modeling.
• Proficient in machine learning techniques including GBMs and Random Forests.
• Strong programming skills in languages like Python and R.

Responsibilities

• Lead development of predictive models for pricing.
• Collaborate with teams to enhance risk modeling.
• Communicate findings to decision-makers.

Skills

Machine learning techniques

Data analysis

Statistical modeling

Excellent communication

Education

PhD or master's in statistics, data science, or related field

Tools

Python

SQL

R

SAS

PySpark

Job description

Job Description

Job title: Senior Data Scientist

Locations: Manchester or Haywards Heath (hybrid working)

Markerstudy Group is looking for a Senior Data Scientist to join a quickly growing company developing ambitious solutions across various insurance lines. The role involves leveraging vast data assets and state-of-the-art processing capabilities.

Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of private cars, 20% of commercial vehicles, and over 30% of motorcycles, with total premiums of circa £1b. The company works with household names such as Tesco, Sainsbury's, O2, Halifax, AA, Saga, and Lloyds Bank.

Role overview

As a Senior Data Scientist, you will:

1. Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification/regression models.
2. Identify and create data solutions that generate value.
3. Collaborate with the pricing, retail, and machine learning teams to provide insights across the business.
4. Develop solutions that leverage vast data assets and improve underwriting performance.

Responsibilities

• Develop and test modelling improvements for pricing models, especially in motor insurance, focusing on hyper-parameter tuning, model performance, stability, and explainability.
• Lead the development of predictive models to solve business challenges, including risk classification and other use cases like conversion or retention.
• Apply advanced machine learning techniques such as GBMs, GAMs, and clustering to create state-of-the-art solutions.
• Work with other teams to enhance risk modelling and address wider business challenges.
• Research and utilize new and existing data sources.
• Communicate results effectively to decision-makers.
• Assist in deploying and monitoring models to ensure efficient implementation.

Skills and Experience

• PhD or master's in statistics, data science, or related field.
• Previous experience in data science, especially in commercial pricing and modelling, with a focus on motor insurance.
• Technical expertise in GLMs, Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques.
• Proficiency in programming languages such as Python, PySpark, R, SAS, or SQL.
• Excellent communication skills, both verbal and written.

Behaviours

• Motivated by technical excellence.
• Team player with a self-motivated attitude and a desire to learn.
• Logical thinker with a professional and positive approach.
• Passionate about innovation and process improvement.