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1,596

Data Scientist Junior jobs in United Arab Emirates

Data Scientist, Customer Marketing (CRM Analytics)

Data Scientist, Customer Marketing (CRM Analytics)
Blue Pelican
Peterborough
GBP 50,000 - 55,000
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Machine Learning Engineer (Healthcare)

Machine Learning Engineer (Healthcare)
LinuxRecruit
London
GBP 40,000 - 80,000

Machine Learning Engineer - Defence Sector - Cambridge)

Machine Learning Engineer - Defence Sector - Cambridge)
Newton Colmore Consulting
Cambridge
GBP 40,000 - 80,000

Data Analyst

Data Analyst
Venn Group
London
GBP 35,000 - 55,000

Data Engineer

Data Engineer
Boston Hale
London
Remote
GBP 40,000 - 80,000
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Lead Machine Learning Engineer, Associate Director 1

Lead Machine Learning Engineer, Associate Director 1
Fitch Group
Manchester
GBP 60,000 - 100,000

Senior Data Engineer - Leeds Based

Senior Data Engineer - Leeds Based
Lorien
Leeds
GBP 50,000 - 90,000

Lead Machine Learning Engineer, Associate Director, London

Lead Machine Learning Engineer, Associate Director, London
Fitch Group
London
GBP 60,000 - 100,000
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Data Engineer

Data Engineer
Octopus Energy Group
London
GBP 40,000 - 80,000

Data Engineer - Cognos and PowerBI

Data Engineer - Cognos and PowerBI
Rolls-Royce
Derby
GBP 40,000 - 80,000

Machine Learning Engineer

Machine Learning Engineer
Encord
London
GBP 50,000 - 90,000

Azure Data Engineer

Azure Data Engineer
Boston Hale
London
GBP 40,000 - 80,000

Data Engineer

Data Engineer
Berkeley Square IT
Manchester
GBP 40,000 - 70,000

Data Engineer

Data Engineer
Berkeley Square IT
Andover
GBP 60,000 - 80,000

ML (Machine Learning) Engineer

ML (Machine Learning) Engineer
Babcock
London
GBP 50,000 - 90,000

Senior Data Analyst

Senior Data Analyst
DRW Holdings, LLC.
London
GBP 50,000 - 90,000

Senior Data Scientist

Senior Data Scientist
Viber
London
GBP 60,000 - 100,000

Senior Machine Learning Engineer

Senior Machine Learning Engineer
Polaron
London
GBP 85,000 - 130,000

Data Engineer

Data Engineer
Sporty
United Kingdom
Remote
GBP 40,000 - 80,000

Research Data Scientist

Research Data Scientist
PhysicsX
London
GBP 50,000 - 90,000

Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London

Assurance - Financial Services - Fraud - Forensic Data Analyst - Senior - London
Ernst & Young Advisory Services Sdn Bhd
London
GBP 40,000 - 80,000

Data Analyst – Power BI

Data Analyst – Power BI
Salt Digital Recruitment
Greater London
GBP 60,000 - 80,000

Lead Data Scientist, Machine Learning Engineer 2025- UK

Lead Data Scientist, Machine Learning Engineer 2025- UK
Aimpoint Digital
London
GBP 50,000 - 90,000

Senior Data Scientist

Senior Data Scientist
Capco
London
GBP 60,000 - 100,000

Data Analyst

Data Analyst
Castle Employment Agency Ltd
Pocklington
GBP 35,000 - 40,000

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Data Scientist, Customer Marketing (CRM Analytics)

Blue Pelican
Peterborough
GBP 50,000 - 55,000
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

  1. 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.
  2. 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.
  3. Got to have hands-on SQL and Python skills and have experience of working with Cloud warehouses like Redshift.
  4. Confident presenting skills.
  5. Natural curiosity around the mechanics behind the ‘why’ in data findings and analytics outputs.
  6. Comfortable in pacey environments like you’d expect in 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 you want to take this forward.

Or, for a chat and more information please contact me on:

Colin Doree
Recruiter | Blue Pelican
01892 507122
colin@bluepelican.com

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* 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.

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