Lead Data Scientist

Surrey
£70000 - £95000 per annum + Yes

Lead Data Scientist

Surrey, United Kingdom

Salary: Up to £70,000 - £95,000

Looking for a Senior Data Scientist to join an online finance company.

THE COMPANY

This is a one of the UK's largest insurance companies and they are looking to grow out the team rapidly. If you want to join a collaborative team of Data Scientists, working on a number of different projects than this is the role for you. You will be responsible for looking after Junior Data Scientists, as well as guiding and leading Machine Learning projects.

THE ROLE

Work on building recommendations, analysing large data sets to build models, and looking at pricing optimisation etc. Focus on meeting business requirements through Data Science and coming up with strategies to solve complex business solutions.

  • Problem solving on a daily basis
  • Understanding the customer through ML
  • Improve market operations
  • Automate market operations
  • Improve production process
  • Mentor Junior members in the team
  • Help to lead and guide projects
  • Build NLP language assists

YOUR SKILLS AND EXPERIENCE

  • MScs or PhD in Statistics, Mathematics, Machine Learning, or another quantitative discipline
  • Technically strong when it comes to building ML models
  • Relevant industry experience
  • Experience using latest technologies in a business setting, such as Bayesian modelling, neural networks, reinforcement learning, etc
  • Confidence working with business partners
  • Past experience within Data Visualisation
  • You have the curiosity to research and enjoy thinking outside of the box
  • Excellent communication skills
  • Experience using Python
  • You have the ability to solve complex problems on a daily basis

SALARY AND BENEFITS

  • Earning potential up to £70,000 - £95,000
  • + a number of benefits

HOW TO APPLY

  • Please register your interest by sending your CV to Charlotte York via the apply link on this page
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64523/CY
Surrey
£70000 - £95000 per annum + Yes
  1. Permanent
  2. Data science

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The Search For Toilet Paper: A Q&A With The Data Society

We recently spoke Nisha Iyer, Head of Data Science, and Nupur Neti, a Data Scientist from Data Society.  Founded in 2014, Data Society consult and offer tailored Data Science training for businesses and organisations across the US. With an adaptable back-end model, they create training programs that are not only tailored when it comes to content, but also incorporate a company’s own Data to create real-life situations to work with.  However, recently they’ve been looking into another area: toilet paper.  Following mass, ill-informed, stock-piling as countries began to go into lockdown, toilet paper became one of a number of items that were suddenly unavailable. And, with a global pandemic declared, Data Society were one of a number of Data Science organisations who were looking to help anyway they could.  “When this Pandemic hit, we began thinking how could we help?” says Iyer. “There’s a lot of ways Data Scientists could get involved with this but our first thought was about how people were freaking out about toilet paper. That was the base of how we started, as kind of a joke. But then we realised we already had an app in place that could help.” The app in question began life as a project for the World Central Kitchen (WCK), a non-profit who help support communities after natural disasters occur.  With the need to go out and get nutritionally viable supplies upon arriving at a new location, WCK teams needed to know which local grocery stores had the most stock available.  “We were working with World Central Kitchen as a side project. What we built was an app that supposed to help locate resources during disasters. 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