Marketing Data Scientist

3 weeks ago


Manchester, United Kingdom Airtime Rewards Full time

Airtime Rewards are delivering the leading data-led rewards technology globally.
and we're continually building new features that drive towards our vision that sees hundreds of millions of pounds saved on phone bills.

Alongside this, we work with some of the best-known retailers to revolutionise their performance marketing.
We're giving them brand new information and insight that transforms their understanding of their customers.

We do all this with our cutting-edge proprietary technology, utilising real time purchase data and AI learning to delight our members and maintain relationships with 200 retailers (including Boots, Aldi, Tesco, Greggs, Selfridges and Halfords to name a few).

We pride ourselves on culture, are solving new problems and need great people to join us on our international journey as we deliver the leading data-led rewards technology globally.

We are looking for a Data Scientist to join our team. Reporting to our Head of Data & Analytics, you will drive innovation and data-led approaches to solving business problems. Working closely with departments across the business, examples of projects you will be responsible for are:

Building a recommendation engine to provide the most personal and relevant retailer offers to our members
Use machine learning to help the business use its resources more efficiently
Help us understand how to better serve our members through a data-led analysis of behaviour
Using a data led approach to create a segmentation model to build member-personas
Contribute to the design of our data architecture and support the integration of new datasets for analysis
Will be an advocate for data across the business, and help us to continue to build our internal and external reporting capabilities

Experience in a range of machine learning techniques with hands-on experience of applying and implementing them to solve business problems
Ability to take ownership of projects, and to drive meaningful business change
Strong knowledge of SQL and Python, including core data science libraries, e.g. Experience cleaning, exploring, and visualising data for stakeholders across the business
Excellent communication skills, with the ability to explain complex machine learning algorithms and statistical methods to non-technical stakeholders
Fluent in GCP/Azure/AWS. 23 days annual leave, plus one for each year served (capped at 28).
~ Birthday leave.
~ Flexible start & finish hours 06:30 - 10:30am
~ Life assurance at 5x salary
~ Health cash plan
~ Virtual GP appointments for you and your family
~24/7 helpline for physical and mental health support, counselling, and other wellbeing resources
~ Private Medical Insurance
~ Hybrid working between home and office
~ City centre location with brand new fit out (when in the office)
~ Buy a holiday scheme
~ Enhanced Maternity, Paternity & Adoption leave pay
~ Electric Vehicle Scheme



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