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Data Scientist

** Digital Pure Play Business – Market Leader **

 

We are searching for an experienced statistical Analyst or Data Scientist to join this recognisable online insurance comparison site, amongst a growing team of Data Scientists.

You will be working alongside some very credible data experts who hail from the likes of Aimia and Dunnhumby.

This organisation is hugely invested in data and using this to drive decisioning and targeted marketing across the business, illustrated with the recent appointment of their CDO.

The senior leadership team are ambitious and are keen to grow the division, in order to put data central to the business which is where this role, and a number of other brand-new positions, come in. Due to the number of hires they are looking to make; they are very flexible about the level of individuals they hire and their own personal ambitions. So, if you want to manage people in the near future, they could accommodate this, or if you are happier operating as an internal consultative Data Scientist, this would be fine too. 

We are after someone with an advanced analytics skill set, in order to provide highly valuable customer insights and data science projects to improve personalised targeted marketing to the company’s huge customer base. Technically we need someone with advanced skills in SQL as well as R OR Python; they use SQL and Python and R in house for all their modelling and analysis.     

The team is focused on building segmentations, using machine learning algorithms (random forest, logistic regression, classification, k-means, linear regression, Naïve Bayes etc.) and building predictive and propensity models to provide as detailed view of the customer as possible. An example of a large project they are currently working on is understanding customer engagement across product, communications and rewards; with longer term objectives around building that relationship with the customer. You will also run different experiments, build behavioural segmentations and working to attributing value to varying customer profiles.

You will also need to be business facing, with skills in building relationships with key stakeholders across the whole business to understand requirements, gather briefs and working proactively to deliver value and insights which ultimately aid decision making.

 

SALARY -            £50k - £65k plus excellent benefits, including lots of training and development opps

LOCATION -        Central London

 

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 modelling, segmentation and statistical analysis, including the delivery of actionable insights, in a marketing environment
  • Programming experience with Python or R is ESSENTIAL, as well as skills using SQL
  • Ability to gather and scope requirements for a variety of analytical projects
  • Experience with advanced analytical 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 kate.mcdermott@bluepelican.com

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

Email: kate.mcdermott@bluepelican.com