Job Title:
Data Scientist
Location:
Nottingham
Contract:
Permanent
Recruitment Partner:
Noaman HussainWe're looking for someone who has the gift of creating and translating complex analytics into easily understandable insights and principles to lead all aspects of our customer ranging decisions. This opportunity is for those of you interested in creating and implementing real retail solutions from your analytical thinking and capability.You'll join a team that develops and delivers the science, analytics and tools helping Boots give our Customers the products they want, as they want them.You will have an academic background in a Maths, Computing or Geospatial disciplines, and experience in retail analytics. You'll need technical capability to create commercially valuable ranging insights. So, if you are passionate about working with data to solve business problems and excited by the idea of joining a trend-setting analytical team, we'd love to hear from you.
About the role
You will have a blend of analytics & data science with a focus on creating, translating and interpreting the science into commercial benefits within the Boots Business.Very much a live hands-on role, in addition to developing analytics you'll help translate and share the insights with stakeholders to get them implemented in the business. Sitting within the Data Science and Analytics team, you'll have access to large datasets and varied insight which you'll use to inform and direct conversations on range optimisation, operational efficiencies and geospatial sciences. Highlights of the role:
- We like to give our customers what they want. Towards this goal, we will support you in developing analytical and data science techniques to uncover product range opportunities. These decisions are made at product, category, geographic and channel levels.
- We believe we can always get better. You'll help us develop not only analytically, but also as a business, looking for analytical solutions driving operational efficiencies.
- We love a bit of code. Whether its SQL or Python or a different passion of yours, you'll be hands-on developing in cloud technologies supported by a team of Data Engineers.
What you'll need to have
You will be comfortable working both independently and collaboratively in a team to resolve tasks that come your way. Excited by taking on responsibility looking to create value from data and create the insight and tools to solve business problems.Required Skills
- Relevant previous experience or a degree with quantitative elements (i.e. includes statistics modules), such as Maths, Physics, Geography, Psychology.
- Logical thinking and resolve issues, experience using relational databases for example.
- Proficiency in a coding language such as SQL, Python, R etc.
- Experience with data visualisation tools such as PowerBI
- You will present complex results to less technical audiences.
- Understand questions as analytical problems and using available data, quantitative modelling or statistical analysis techniques to develop solutions.
- Desire to investigate potential errors.
- Organise and prioritise own workload, managing multiple projects and campaigns simultaneously
Desirable skills:
- You'll have experience with GIS software and techniques.
- You'll have a record of delivering results in a commercial environment.
- You'll manage ambiguity and an expert in prioritisation of needs.
- You'll have expertise in working with large structured and unstructured data sets
Our benefits
- Retirement Savings Plan
- Discretionary annual bonus
- Generous employee discounts
- Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
- Flexible benefits scheme including holiday buying, discounted gym membership, life assurance, activity passes and more.
- Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.
We have a great range of benefits in addition to the above that offer flexibility to suit you - find out more at rewards. Please note, any salary estimates given on third-party sites are not provided or endorsed by WBA and may not be accurate.
What's next
Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjust