<p><b>Data Scientist - Hybrid Working - London/Home</b></p> <p><b>Why join us</b></p> <p><span>In Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer decisioning – from customer segmentations to offer optimisation. We impact millions of customers, bringing them value and earning their loyalty.</span></p> <p><span>This team already personalises all of the offers you see in the Nectar app, but now we’re growing in ambition and scale. We aim to personalise everything that matters – offers, online recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI.</span></p> <p><span>This role will work in a team dedicated to foundational customer modelling – predicting who you are and what you need. These models serve a wide range of use cases – from personalised marketing to strategic analytics – driving value for the customer and the business.</span></p> <p><br><b>What you’ll do</b></p> <p><span>Solve the hard problems&nbsp;</span></p> <ul> <li><span>Work on the technical development of machine learning solutions and pipelines that will generate value and deliver against our strategic objectives.</span></li> <li><span>Iterate our modelling and optimisation capabilities, identifying the most appropriate techniques to use for each commercial problem.</span></li> <li><span>Support the maintenance and optimisation of existing models to adapt to changing needs.</span></li> </ul> <p><span>Embody and improve best practice</span></p> <ul> <li><span>Align to best practice across modelling, experimentation, deployment, and model lifecycle management.</span></li> <li><span>Collaborate with stakeholders to understand and deliver on their needs, and work with engineering teams to source data and deploy robust solutions.</span></li> </ul> <p><span>Be an enthusiastic member of our community</span></p> <ul> <li><span>Bring new ideas for future approaches, including state of the art techniques where appropriate.</span></li> <li><span>Understand how our business really works, including by supporting our stores during peak trading periods.</span></li> <li><span>Actively contribute to our vibrant Data&nbsp;and Analytics&nbsp;community of over 800 colleagues, providing a view on new techniques and approaches that can drive positive change in wider teams.</span></li> </ul> <p><b>Who you are</b></p> <p><span>We’re looking for a highly motivated self-starter – someone who fixes problems and creates value without micromanagement. You need to thrive in a challenging role, and know how to balance our need for technical rigour against our need to deliver commercial and customer value.</span></p> <p><span>Value delivery</span></p> <ul> <li><span>Experience in Data Science roles, with evidence of solving complex problems end-to-end.</span></li> <li><span>A record of building systems which run in production, and an understanding of the value these generated.</span></li> <li><span>An ability to understand commercial reality as well as technical rigour.</span></li> <li><span>A strong ability to communicate ideas to audiences of varying technical background and seniority.</span></li> </ul> <p><span>Data Science expertise</span></p> <ul> <li><span>Strong grounding in statistical modelling and machine learning, such as predictive modelling at scale, unsupervised learning, causal inference, experimentation, optimisation and decisioning.</span></li> <li><span>Strong understanding of the “how” behind the algorithm; ability to select the right technique for a given objective and avoid pitfalls.</span></li> <li><span>Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.&nbsp;</span></li> </ul> <p><span>Production-grade design</span></p> <ul> <li><span>Extensive programming ability across Python and strong ability to use SQL, with a proven experience of developing complex solutions in a corporate environment.&nbsp;</span></li> <li><span>Understanding of working with production codebases, such as version control, CI/CD, and batch processing.</span></li> </ul> <p><span>Development</span></p> <ul> <li><span>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</span></li> </ul> <p><b>Essential Criteria</b></p> <ul> <li>Previous experience in Data Science roles</li> <li>A strong ability to communicate ideas to audiences of varying technical background and seniority</li> <li>Strong grounding in statistical modelling and machine learning, including predictive modelling</li> <li>Extensive programming ability across Python and strong ability to use SQL</li> <li>Solid understanding of working with production codebases, such as version control and CI/CD</li> </ul> <p>#LI-JH1</p> <p>#DataScience</p> <p>#DataAndAnalytics</p>