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Lead Data Scientist

** Leading UK Insurance Provider **




This leading insurance provider currently hold all their customer level data across 3 platforms, which they are looking to centralise and in turn start conducting more sophisticated analytics projects around data science and predictive analytics.


In this brand new role, you will be managing two Data Scientists as well as two Apprentices; so ideally you will have previous experience or training or mentoring more junior members of staff, but this is not essential; the Head of Data will help you in getting up to speed with the management piece.


Due to the infancy of this change in the way they manage and use their data, you will not be required to start delivering lots of advanced machine learning projects immediately, but rather some initial predictive analytics and modelling projects as well as pro-actively working with the Head of Data Head of Data to identify opportunities for more data science work. 


So, with the above in mind we are considering one of two profiles for this role:


A Data Scientist

Someone with a degree in Machine Learning / Computer Science / Physics / Chemistry etc. and commercial experience in delivering machine learning projects.


A Statistical Modelling Analyst

An experience statistical analyst with a desire to gain exposure to / has recently been involved in more advanced predictive modelling and analytics projects, and eventually data science work.


Either way this is a rare opportunity to join a large-scale organisation at a time of positive change in the way they approach use of data to drive decisioning. Working alongside a highly credible manager, managing a small yet growing team (training provided) and gain exposure to data science projects.


Technically they use SQL, R and Python (as well as SAS EG for some legacy insights work) so experience with SQL plus any programming tool will be considered (SAS, R or Python) and training will be provided. Beyond the technical skills we are really looking for someone who has a strong desire to grow with the business in this role and working in partnership with the Head of Data to continue educating the business to the benefits of employing data science to drive commercial performance and an improved understanding of their customer base; which in turn will allow for better targeted marketing and acquisition and retention of customers.



LOCATION:         Tunbridge Wells, Kent (50 mins from main line London stations)

SALARY:             £70k plus excellent benefits, bonus & training


Experienced required:


  • Educated to at least degree level in a numerate subject
  • Advanced programming skills using R, SAS or Python for statistical analysis and predictive modelling, including using machine learning techniques
  • Expert in using SQL for data interrogation
  • The ability to turn data into actionable insights which inform customer marketing strategies
  • Excellent communication and presentation skills
  • Proven advanced ability in building predictive models
  • Skilled in data visualisation
  • Ability to manage more junior members of staff, growing and nurturing skills (training provided)
  • Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing





For further information or a copy of the job description please contact:


Kate McDermott

Managing Consultant - Blue Pelican Marketing

DDI: 01892 507129


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About Us


Blue Pelican Marketing is one of the UK's leading marketing recruitment agencies. We pride ourselves on assisting people in locating new positions within dynamic organizations across the UK & Europe. So if you are looking for a new challenge and a career move which will raise you to the next level, get in touch, it could be the most fruitful communication you make today!










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