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Data Scientist

** Digital Platform **



SALARY -            £60k - £65k

LOCATION -        Remote to begin with, then Central London



We are searching for an experienced Data Scientist to join this recognisable online platform, amongst a growing team of machine learning and AI experts.           



The business are hugely invested in data and using this to drive decisioning across the business. You will be working alongside some very credible data experts, who hail from the likes of Aimia, Dunnhumby and other major marketing agencies who specialize in this field.


You will be joining a small team of 5 and will responsible for leading on innovative approaches and new ways of thinking, helping to upskill those around you with your technical knowledge. It’s a great time to join the team as they plan to expand and grow further next year, so you will be part of a small, visible, and influential set up at an early life stage – great if you want to make your mark!




We require the following skills as a base:


  • Strong Python programming experience - data manipulation, preparation and processing of data, feature engineering, modelling and using all the regular libraries.
  • Machine learning skills – experience with one or more of the following; logistic or linear regression, gradient boosted trees, supervised techniques such as classification
  • PLUS at least one of the following unsupervised learning techniques; segmentation, cluster analysis, NLP, text recognition, deep learning, Bayesian techniques
  • Basic stats knowledge – this does not mean you should understand the formulas behind every statistical technique, but you should be able to talk confidently about why and how one algorithm is a better option than another, be able to talk about their pro’s and con’s and why you would use (for example) Random Forest over another technique?


They are also in the throws of embedding Data Bricks, so the team will have their own environment to play in, a notebook environment which encourages a very collaborative approach from the team, where you can build, monitor and optimise your models.


They are also about to embark on using open source banking data, so yet another data set at your fingertips! Which can be used in a variety of ways and even added to existing models and algos to optimise them too.





In addition to the above, equally as importantly, we are looking for someone who is outcome focused, able to deliver to high standards (has due diligence to check own work) and on time, and should be able to evidence this at interview. You should be of a curious nature, as this role will allow you to work fairly freely when thinking about new approaches and coming up with fresh ideas.


This is also a highly collaborative role whereby you will be working with other teams such as CX UX, CRM, BI and analytics, so an ability to present technically at varying levels of complexity is key. You will be expected to present in an engaging manner, brining your findings to life through storytelling and visualisation. 


Skills and experience required:

  • Educated to degree level in a numerate subject; Mathematics, Statistics, Engineering, Physics, Chemistry, Economics, Machine Learning, Computer Science etc.
  • A strong background in data science to the levels stated
  • Programming experience with Python is ESSENTIAL, as well as skills using SQL
  • Ability to gather and scope requirements for a variety of data science projects
  • Experience with statistical techniques including the use of machine learning algorithms is ESSENTIAL
  • Expert at engaging with senior level client stakeholders and ability to operate at a senior level on projects






To learn more about this role, please apply or contact Kate directly on

How to apply

If this position is of interest please send us your CV here, or you can call Kate McDermott direct on to discuss this and other vacancies that may suit.

Kate McDermott