Job description

A data scientist responsible for designing, building, testing and implementing series of propensity-based data science models and our analytical capability to help us to understand our customer base. The data science models will turn raw data into actionable customer treatment, and in doing so, help to facilitate some of the fundamental business objectives with Verastar. This will allow us to reduce churn, increase upsell, drive revenue and reduce cost to serve. This role is vital in developing our understanding of the Verastar customer base and how we optimise the management of it.

What You’ll Be Doing
  • You can identify and collect of key data needed to build a data science model
  • You will Ensure that the build of data science models aligns to the delivery of key business objectives and metrics and can be measured quantifiably demonstrating the return of investment of data science models
  • You will be responsible for analysing large volumes of data to identify key trends and patterns with help of machine learning techniques.
  • You will collaborate with and provide guidance to the wider team to build efficient and effective data pipelines to take data from source into the model build process and provide a strong data partnership to the business
  • You can create and maintain an iterative data science model creation process that drives improvement from throughout the whole process from data capture, through to optimisation
  • Act as an exemplar for Verastar's operating standards and values at all times
Your Role Will Also Involve
  • You will work closely with key senior stakeholders to extract the optimal result from implementation of each model
  • You will be able to demonstrate the predictability accuracy of any given model in relation to the business issue we are trying to solve
  • Be responsible for Improvement in key business metrics (acquisition, churn, retention, cross-sell, debt) driven by implementation of data science models
  • You will be in charge of the creation of suite of data science models that show clear commercial benefit to Verastar
We’re looking for people that have
  • Experience in data mining
  • Understanding of machine learning and variations of data science model builds
  • Strong knowledge of Python and SQL
  • Mathematical/Statistical experience and application in a business environment
  • Problem solving skills with application into an iterative process
  • Work with minimal supervision
Experience
  • Experience of building and implementing data science models which drives improvements
  • Demonstrable experience of delivery and occasionally leading on projects which has a clear commercial impact
  • Experience of utilising machine learning techniques to influence model design and build
  • Experience of using analytical techniques to solve business questions/issues
  • Technically experienced in use of python, machine learning and SQL
  • Experience of working and influencing directly with senior key stakeholders
In return for your hard work, you’ll get
  • £20,000 per year
  • 25 days holiday with the option to buy and sell more
  • Discounts at 100s of high street and online stores
  • Free Life Assurance, Cycle to work and travel loans for people wanting a greener commute
  • Wellbeing support including 24/7 access to a GP, mental health support, get fit programmes and free legal and financial guidance
The important extras
  • Amazing on-site facilities, such as free on-site gym, free parking, subsidised café and to top it off an on-site subsided bar for after-work drinks, quiz nights and social events
  • Hybrid working - option to work two days from home if you choose
  • Access to our award-winning training and development programmes
  • Opportunities to get involved in charity fundraising and volunteering days through our giving back movement
Our newly refurbished HQ is based in the heart of Sale Moor Village next to Sale Water Park. We’re only a stone’s throw away from the M60 and just a short 5-minute walk from the Airport Metro Link line and Sale Town Centre. We also have plenty of free on-site car parking as well as a bike locker if you choose to cycle in.

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