Senior Data Scientist

JR United Kingdom; Stoke-on-Trent; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading insurance firm in Stoke-on-Trent is seeking a Data Scientist to enhance their data science and machine learning models focusing on marketing and customer lifetime value. The ideal candidate will have experience with Python, SQL, and marketing analytics. This role allows for flexible work arrangements, with minimal in-office requirements.

Benefits

Bonus

Flexible work arrangements

Generous pension scheme

Qualifications

• Experience working with Python and SQL.
• Domain knowledge in customer and marketing analytics, including LTV, churn, and segmentation.
• Ability to build machine learning models in Python.

Responsibilities

• Contribute to the development of data science and machine learning models focused on marketing and customer LTV.
• Work with the Data Science team to elevate strategic approaches.

Skills

Experience with Python

Experience with SQL

Customer and marketing analytics

Building machine learning models

Job description

Join an incredible Data Science team led by a prominent leader in the insurance industry. Contribute to the development of data science and machine learning models focused on marketing, customer lifetime value (LTV), and churn, as the team elevates its strategic approach.

Summary:

• Benefits: Bonus, flexible work arrangements from abroad, and a very generous pension scheme.
• Remote working: 1-2 days per month in the London HQ, with high flexibility.
• Interview process: 3 stages.
• Reporting to: Head of Data Science.
• Company size: Approximately 2,500 employees.
• Focus: Developing new data science models for the customer and marketing teams at the group level.

What are we looking for?

• Experience working with Python and SQL.
• Domain knowledge in customer and marketing analytics, including LTV, churn, and segmentation.
• Ability to build machine learning models in Python.

Candidates must be based in the UK. Sponsorship cannot be offered for this position.