Why join us

Joining the Data & Analytics team at Sainsbury's as an Associate Data Scientist offers a unique opportunity to make a significant impact on our customer engagement strategies across various brands. As part of a collaborative and innovative environment, you will have the chance to leverage cutting-edge data science techniques to drive personalised marketing communications, ultimately enhancing customer loyalty and value. With a focus on continuous learning, supportive mentoring, and a vibrant community of data professionals, you will be empowered to develop your technical skills, contribute to impactful projects, and shape the future of retail analytics in a dynamic and customer-centric organisation.

 

What you'll do

As an Associate Data Scientist within the Customer and Loyalty team at Sainsbury's, you will be instrumental in leveraging data science solutions to tackle marketing challenges and opportunities aimed at enhancing customer loyalty and generating additional value. Your role will involve developing and optimising customer models using techniques such as regression, classification, clustering, causal inference, and graphing to drive personalised marketing communications across various channels. You will collaborate with engineering teams to maximise the potential of available data sources, ensuring the deployment of models aligns with best practises, and presenting your work to stakeholders while supporting end-users in integrating model outputs into their marketing and insights activities. Additionally, you will actively contribute to the Data and Analytics community by sharing insights and techniques that can drive positive change across teams, while ensuring all code and outputs are documented, repeatable, scalable, and shareable through collaborative tools.

 

Who you are

As an Associate Data Scientist at Sainsbury's, you are a highly analytical and innovative professional with a strong foundation in data science and machine learning techniques. With your ability to translate complex business challenges into structured data science problems and drive meaningful insights, you play a pivotal role in delivering data-driven solutions that enhance customer personalization and drive customer loyalty. Your critical thinking skills, curiosity, and attention to detail enable you to develop and optimise customer models, collaborate with cross-functional teams, and present actionable insights to stakeholders, contributing to the continuous improvement of marketing strategies and customer experiences.

 

Essential Criteria

SQL proficiency – strong ability to extract and manipulate data. Python skills – or a clear interest in learning Python. Critical and analytical thinking – especially for solving unseen problems. Curiosity and scepticism – to question assumptions and explore data deeply. Attention to detail – while maintaining awareness of the broader context. Communication skills – particularly for explaining technical concepts to non-technical audiences. Presentation skills – ability to present and explain models to stakeholders like marketing executives.

 

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