Data Scientist

We are recruiting for the latest member of the Data Science team. If you have a passion for using advanced analytics and data science to promote data-driven decisions then this is the role for you
Who Are We?
Not just another building society. Not just another job.
We're the fourth biggest building society in the UK and what makes us a bit different is that we're a mutual organisation. We don't have shareholders; we're owned by our members.
Our colleagues say Skipton's a great place to work, and you could be one of them, bringing with you new ideas on how we can keep customers at the heart of what we do.
Whatever your background, and whatever your goals, we'll help you take the next step towards a better future.
You will be joining the Data Science team, consisting of 5 Data Scientists. We work closely with the Homes and Money businesses as well as other supporting functions, producing models and advanced analysis to drive value through increased ROI, identifying process efficiencies, or improving the customer experience.
We are also in the early stages of an exciting project in which we will be moving to a new cloud-based analytics platform. This will provide us with greater scalability and new tools and techniques which will further improve the value we can add to the business.
What's In It For You?
Skipton values work/life balance and we are proud to support hybrid and flexible working, where possible. We have a newly refurbished head office which offers a vibrant and collaborative working space.
We have a range of other benefits available to you including;

• Annual discretionary bonus scheme


• 25 days standard annual leave + bank holidays + rising 1 day per year of service to a maximum of 30 days


• Holiday trading scheme allowing the ability to buy and sell additional annual leave days


• Matching employer pension contribution (up to 10% per annum)


• Colleague mortgage (conditions apply)


• Salary sacrifice scheme for hybrid & electric car


• A commitment to training and development


• Private medical insurance for all our colleagues


• 3 paid volunteering days per annum


• Diverse and inclusive colleague networks available for you to join including our Carers and Pride Alliance groups


• We care about your health and wellbeing - we provide a range of benefits that support this including cycle to work initiative and discounted gym membership


What Will You Be Doing?

• Building and maintaining statistical and/or machine learning models to deliver value to the Homes & Money businesses


• Conducting ad-hoc pieces of analysis to drive data-driven decision making across the business


• Working on the migration of the Data Science Team's models and other processes to a new analytics platform
  
  Degree in Data Science or other numerate/analytical discipline


• Solid experience of applying data-driven mathematical/statistical/Machine Learning models using R and/or Python, ideally in a financial services business environment


• Exposure to distributed processing systems for big data workloads is an advantage (Microsoft Azure)


• Experience managing large and complex data sets and proven track record of converting business problems into analytical solutions


• Presentation, communication and influencing skills with the ability to tailor your approach to suit your audience and present complexities in a simple