Address
Form of work
SalaryDATA SCIENTIST- LOGISTICS
£50,000 - 60,000
SHEFFIELD
Work a crucial role within a customer focussed team, using predictive modelling and statistical analysis to provide insights that can affect this high growth retailer across their logistics!
THE COMPANY
A UK renowned retailer within fashion going through a HUGE digital transformation and growing within data. This role allows you to access the latest tools, training and development but also be part of the vast growth within the organisation!
THE ROLE
As the Data Scientist your focus will be to design and run experiments to collect and process relevant data for predictive models, specifically you will have to:
- Build and implement predictive models that drive business performance and understanding
- Deliver an understanding of logistics, cost saving and supply chain, you will use predictive models to forecast and money save!
- Tell a story with the data through data visualisation, highlighting clear strategic direction and insights to stakeholders
- Help to grow the analytics capabilities of the logistics team, work with senior stakeholders to question and innovative how data is used and analysed!
- Lead one other and create new ways of working!
YOUR SKILLS
The successful candidate will have the following skills and experience:
- Strong SQL and Python with previous experience in data extraction, data manipulation and statistical analysis and model deployment
- Expert using visualisation tools such as PowerBI or Tableau to provide insights in an aesthetic visual deck
- Great communicator and able to convey complicated technical terms in digestible language
THE BENEFITS
£50,000 - 60,000 annual salary, flexible working and competitive benefits and bonus!
HOW TO APPLY
Please register your interest by sending your CV to Gerard Matthews via the apply link on this page.
Data Analyst, Data Analytics, SAS, Python, R, Data Modelling, Google Analytics, Adobe Analytics, Coremetrics, GA, AA, Clustering, Propensity Modelling, Segmentation, CRM, CRM Analytics, Marketing Analyst, Insight Analyst, Growth Analyst, Customer Analytics
