eCRM Data Scientist

Job description

Summary

Our vision here at Tesco is to become every customer's favourite way to shop, whether they are in store, online, whether they are at home, out shopping, on the move, anywhere in the world.

We know that a core part of getting this right is by understanding our customers and connecting with them to co-develop the services, products and opinions that will help us improve everything we do.

Everything is underpinned by our continuous drive for the best tools and technology to deliver our vision. We're driving innovation to become the world's leading multichannel business.

We need people who share our ambition to deliver for our customers; Passionate and confident people willing to take the initiative and drive us forwards. In return we offer excitement, a great team, an excellent benefit package, and significant career development opportunities.

Utilising your expertise in this area, you will assist in ensuring the success and relevancy of marketing campaigns by extracting and analysing CRM data as well as supporting the various Tesco businesses and other marketing functions on how to optimise our marketing communication through increased targeting.

The position will be based at our Head Office in Welwyn Garden City. Free parking is available, we are connected to London Kings Cross with a fast service (c. 25mins) and our offices include gym, canteen, petrol and dry cleaning services.

Key Relationships

• Head of eCRM
• Automation & Personalisation Manager
• Email Marketing Team
• Tesco Data Analysis teams & Dunnhumby
• Category marketing teams

Role Accountabilities

The eCRM Data Scientist will be responsible for:

• Applying statistical/machine learning techniques to recognise trends within vast sets of data
• Analysing big data, conducting exploratory analysis and developing statistical models to evaluate business performance
• Carry out analytical activities, such as behaviour segmentation or predictive modelling in R and SQL
• Exploring data to discover underlying patterns and trends that support key business objectives.
• Automating email campaigns in Unica

• Experience of working in the retail sector preferred
• Proven ability in analysing and understanding systems and business requirements
• Proven ability in delivering succinct reports using MS EXCEL and PowerPoint that are tailored to different situations and audiences
• Strong knowledge of SQL and R
• Working knowledge of Unica (can be trained)
• Good understanding of the following techniques:

CHAID and C5.0

Linear / Logistic Regression

Clustering techniques (K-Means, Kohonen)

Neural Networks

Support Vector Machines

Cross-sectional and time series analysis

Analysis of variance

Text Analytics