Senior Data Scientist

JR United Kingdom; Bournemouth; On-site; GBP 45,000 - 65,000; Full time

Job summary

A leading insurance company in Bournemouth is seeking a Data Scientist to develop machine learning models targeting marketing and customer insights. The ideal candidate will have experience with Python and SQL, along with domain expertise in customer analytics. The role offers flexibility to work from anywhere with 1-2 days per month at the London HQ. Competitive benefits including a generous pension scheme are provided.

Benefits

Bonus

Flexible work from abroad

Very generous pension scheme

Qualifications

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

Responsibilities

• Develop new data science models for customer and marketing teams.
• Work on data science and machine learning models targeting marketing insights.

Skills

Python

SQL

Customer Insights

Marketing Analytics

Machine Learning

Job description

Join an incredible Data Science team led by a prominent leader in the insurance space, focusing on the growth and development of a best-in-class team.

You will work on data science and machine learning models, primarily targeting marketing, customer insights, LTV, and churn, as the company elevates its core business strategies.

Summary:

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

What are we looking for?

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

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