Data Scientist, Customer Marketing (CRM Analytics)Location: Hybrid working, Central London offices, 10 days in every month.Salary: £50,000 – £55,000 plus 10% bonus, pension, healthcare, life assurance, etc.
You’ll be joining an 800 person B2C fintech which happens to have one of the largest consumer databases in the UK, made up of over of 30m customers.
The team you’ll be joining is their CRM division, and the projects you’ll be working on all align to customer marketing initiatives, focusing on the creative use and application of data in a marketing context.
Key responsibilities include:
- Making recommendations on how to improve targeting by analyzing past performance of campaigns.
- Working on the application and deployment of data science solutions such as ML and next best action models.
- Identifying new data assets within the business or through third-party partnerships to drive personalization and enhance targeting strategies.
- Collaborating with data engineers to shape data feeds and ensure their effectiveness for CRM marketing campaigns.
- Serving as the subject matter expert on customer and campaign data to enable a best-in-class customer marketing program.
From a technical perspective, a solid statistics background with proficiency in SQL and Python coding skills is required, along with experience analyzing large relational databases. A natural curiosity to explore customer behavior and CRM campaigns is also essential.
What makes this opportunity so interesting?
It’s about the people, environment, and the employer brand itself. This employer is recognized for its consumer champion status, attracting individuals who want to contribute positively to consumers while achieving their own goals.
If you want to work in a place made up of impressive people and inspirational leaders, this is the place to be. The environment is known for its pace and ambition, yet remains kind and caring.
Experience Needed
- A CRM or marketing-related analytics background is essential, with a good understanding of segmentation, logistic regression, and predictive analytics.
- Solid analytics skills with the ability to identify trends, generate insights, and translate them into actionable marketing recommendations.
- Hands-on SQL and Python skills, with experience working with Cloud warehouses like Redshift.
- Confident presentation skills.
- Natural curiosity about the mechanics behind data findings and analytics outputs.
- Comfortable in fast-paced environments typical of retail, digital, or tech.
Want to Apply? Here’s how:
You can share your LinkedIn profile or email me a CV – it doesn’t have to be up to date; we can work on that once you decide to move forward.
For a chat and more information, please contact me:
Colin DoreeRecruiter | Blue Pelican01892 507122
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