Senior Manager: Data Science - Canary Wharf

Date Posted
5th May 2018
Job Type
Docklands, London
£65,000 to £80,000 Per Annum
Excellent Benefits Package


The brand is a global fin-tech brand that has a unique place in the market, making an impact across all channels

Over the past few years, they have had significant growth across commercial strategy and analytics and now have a 200 strong team that work as a mini-consultancy within the business

They are ahead of the curve with technology as well as their approach to analytics - they offer employees the chance to work in an exciting environment with regular meetings and engagements with senior stakeholders up to board level

  • A unique and exciting opportunity for an experienced Data Scientist/Manager from a consumer finance/retail/agency/marketing/consultancy background, looking for a change or to add dimensions to their skill set
  • This would suit someone passionate about applying successful Machine Learning and Data Science methods, in particular the applications in various aspects of decision optimisation
  • A chance to join a forward thinking and dynamic organisation, with the ability to produce insightful analytics across all drivers of overall revenue


The business area works as the central analytics and data science function for the whole business, giving their analysts and data scientists lots of flexibility and variety to day to day work (Risk, Marketing, Finance and Digital), R&D projects, and present back to Director level


  • Manage a small team of Data Scientists (1-2 people)
  • Deploy Machine Learning to uncover patterns in large scale data sets to identify customer behaviour correlations and convert in scalable growth opportunities
  • Identify new enhancement opportunities in data sources & machine learning toolsets to utilise for further business growth
  • Identify and build relationships with key stakeholders
  • Work effectively with peers and management team to achieve shared business objectives


  • Strong commercial experience/knowledge in machine learning methods, (Regularised regressions (Ridge Regression), Ensemble tree classifiers (Random Forests), Support Vector Machines, Neural Networks, Design of Experiments etc.)
  • In-depth hands on experience with a number of data manipulation tools: i.e. Hadoop, Python, R, Impala, Hive along with SQL/SAS
  • Traditional statistical method experience (such as Logistic Regression, Decision Trees) in a commercial environment
  • Consumer finance/retail/agency/marketing/consultancy background
  • Ability to consolidate and analyse complex information in order to identify creative new ways of working and innovative solutions to problems
  • Strong ability to influence Senior Management and key stakeholders
  • MSc or PhD in Mathematics, Statistics, Machine Learning, Computer Science, Engineering based subject or equivalent


  • Very competitive Bonus
  • Pension (market leading)
  • Healthcare
  • Group Discounts
  • Flexible benefits
  • Lifestyle benefits

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