Senior Data Scientist

JR United Kingdom; Exeter; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading insurance company in Exeter is seeking a Data Scientist to develop machine learning models focused on marketing and customer analysis. The role offers flexible remote work options and a generous benefits package, including a pension scheme. Ideal candidates should have strong experience with Python and SQL, as well as knowledge in customer marketing metrics such as LTV and churn.

Benefits

Bonus

Work from abroad flexibility

Very generous pension scheme

Qualifications

• Good experience working with Python & SQL.
• Domain knowledge in customer & marketing - LTV, churn, segmentation.
• Ability to build machine learning models in Python.

Responsibilities

• Work on data science & machine learning models.
• Focus on marketing, customer LTV & churn.
• Develop new data science models for the customer & marketing team.

Skills

Experience with Python

Experience with SQL

Domain knowledge in customer marketing

Ability to build machine learning models

Job description

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Join an incredible Data Science leader who continues the growth and development of a best-in-class team in the insurance space.

Work on data science & machine learning models, with a key focus on marketing, customer, LTV & churn as they elevate their central function for a new-look approach to the business brand!

Summary:

Benefits: Bonus, work from abroad flexibility, very generous pension scheme!

Remote working: 1-2 days per month in the London HQ - highly flexible!

Interview process: 3 stages

Reporting to: Head of Data Science

Company size: ~2500

Working on: Developing new data science models for the customer & marketing team at group level!

What are we looking for?

• Good experience working with Python & SQL
• Domain knowledge in customer & marketing - LTV, churn, segmentation, etc.
• Ability to build machine learning models in Python

Candidates must be based in the UK. Unfortunately we cannot offer sponsorship for this hire.