National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Scientist, Customer Marketing

Blue Pelican
London
2 days ago
Create job alert

Social network you want to login/join with:

Data Scientist, Customer Marketing, London

col-narrow-left

Client:

Blue Pelican

Location:

London, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Reference:

269032c5a856

Job Views:

5

Posted:

29.06.2025

Expiry Date:

13.08.2025

col-wide

Job Description:

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. Looking at creative use and application of data in a marketing context.

Making recommendations on how to improve targeting by looking at past performance of campaigns. Or working on the application and deployment of data science solutions such as ML and next best action models, and how they could be incorporated and activated into marketing activities to deliver value for the company’s customer marketing activity.

Or looking at new data assets either already within the business, or via third party partnerships which could provide potential value when activated in the right way within CRM campaigns. Either to drive personalisation, identify new potential trigger points and moments of truth within the customer lifecycle, which could lead to new customer journeys, or could be utilised to enrich targeting strategies for existing campaigns to help elevate their performance.

Plus have the technical capabilities to be able to sit down with data engineers to explain what’s needed when it comes to certain data assets and tables, so you’re able to help shape how data feeds operate and ensure they’re as useful as possible in how they’re delivered, and help activate that data asset so it can be utilised by the CRM team in their marketing campaigns.

You will be the subject matter expert on customer and campaign data, in charge of making sure the right data is available to the CRM to enable them to deliver a best in class customer marketing programme. Successfully working across data strategy, CRM analysis and predictive modelling, giving you a role which will cover multiple disciplines including data planning, CRM analytics, decision science and data science.

From a technical perspective, all that’s needed is a solid stats background with a good handle on SQL as well as Python coding skills. With experience analysing large relational databases.

Alongside this, also have a natural curiosity and interest to want to look into the ‘why’ and what’s going on with customer behaviour and CRM campaigns.

What makes this opportunity so interesting?

It’s got to the people, environment and the employer brand itself.

To many, this employer is a destination one. Prolific and incredibly high profile. Their consumer champion status makes them a place people tend to want to become a part of because their ambition is to do good by the consumer. In doing so they also achieve good things for themselves in the process.

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 one recognised for pace and ambition, yet remains kind and caring.

Experience Needed

  • A CRM or marketing related analytics background is essential – so you understand things like segmentations and how to do them. Logistic regression and predictive analytics, good knowledge of data science techniques within a marketing/commercial environment (not product related) will be beneficial
  • Solid analytics skills, with the story telling/insight skill – not just reporting. This is not a BI/Reporting role. So you know how to identify trends in data, generate meaningful insights and translate them into recommendations for marketing use
  • Got to have hands-on SQL and Python skills and have experience of working with Cloud warehouses like Redshift
  • Natural curiosity around the mechanics behind the ‘why’ in data findings and analytics outputs
  • Comfortable in pacey environments like you’d expect in retail, digital or tech


#J-18808-Ljbffr

Related Jobs

View all jobs

Principal Data Scientist...

Senior AI/ML Data Scientist

Marketing Data Scientist - Renewable Energy Provider (Client Side)

Data Scientist

Data Scientist

Data Science & ML Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.