Data Scientist Junior jobs in United Kingdom
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Job summary
A leading data science firm in the UK is looking for a Data Scientist to develop innovative models for customer and marketing analytics. Candidates must have proven experience in Python and SQL, along with expertise in customer lifetime value and churn analytics. The position offers flexible remote working options, with minimal office requirements. Join a dynamic team dedicated to elevating core business functions!
Benefits
Qualifications
- Experience with customer lifetime value (LTV), churn, and segmentation
- Demonstrable ability to develop and implement data science models.
Responsibilities
- Developing new data science models for the customer & marketing team at group level.
- Working on marketing, LTV, and churn analytics.
Skills
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Join an incredible Data Science leader who continues to grow and develop a best-in-class team in the insurance space.
Work on data science & machine learning models, focusing on marketing, customer lifetime value (LTV), and churn, as they elevate their core business functions with a new brand approach!
Summary:
Benefits: Bonus, flexible work-from-abroad options, 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 employees
Role focus: Developing new data science models for the customer & marketing team at group level!
What are we looking for?
- Proven experience with Python & SQL
- Domain expertise in customer & marketing analytics—LTV, churn, segmentation, etc.
- Ability to build machine learning models in Python
Candidates must be based in the UK. Unfortunately, sponsorship cannot be offered for this position.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.