<p><strong>C4 Data Scientist – Nectar360</strong></p> <p>&nbsp;</p> <p><strong>Location</strong></p> <p>London – Farringdon/Home</p> <p><strong>Reporting to</strong></p> <p>N360 Data Science Manager</p> <p>&nbsp;</p> <p><strong>What is it?</strong></p> <p>We’re looking for a talented Data Scientist to join Nectar360 – the team behind Sainsbury’s Retail Media offering, and the UK’s largest coalition loyalty programme (Nectar), with 24 million members nationwide.</p> <p>Our N360 Data Science&nbsp;team builds the systems behind our market-leading Retail Media platform (N360 Pollen), allowing hundreds of suppliers, media agencies and internal teams to set up, customise and measure their marketing campaigns. We develop and continuously improve our cutting-edge measurement capabilities, including multi-channel attribution, uplift estimation, AI-driven targeting and budget optimisation - across instore, onsite and offsite media. Our work enables suppliers to engage with customers every day and maximise the impact of their advertising.&nbsp;</p> <p>Based in our new Farringdon office, this role will work closely with decision-makers across Nectar360 and Sainsbury’s to continue building innovative solutions for Nectar360, our suppliers and partners, using our incredible data assets, our rich customer understanding, and state of the art machine learning and AI. As one of the data scientist in the team, you’ll&nbsp;apply your wealth of experience and ideas&nbsp;to design, build, and improve our&nbsp;capabilities&nbsp;– driving&nbsp;value for the customer and the business. With a large team of data scientists and analysts across Sainsbury’s and millions of known customers, the scale and scope are huge.&nbsp;</p> <p>&nbsp;</p> <p><strong>What will you be doing?</strong></p> <p>Solve the hard problems</p> <ul> <li>Work on the technical development of algorithms and pipelines that will deliver against our strategic objectives in Nectar360,&nbsp;including our industry-leading marketing measurement solutions.</li> <li>Develop and enhance modelling and optimisation capabilities, using techniques such as MMMs, causal inference, multi-touch attribution, experimentation Bayesian modeling, unsupervised learning and many others.</li> <li>Support the maintenance and optimization of existing models to adapt to changing needs and client feedback.&nbsp;</li> </ul> <p style="margin-left:0cm">&nbsp;</p> <p style="margin-left:0cm">Embody and improve best practice</p> <ul> <li>Align to&nbsp;best practice across modelling, experimentation,&nbsp;deployment, and model lifecycle management.</li> <li>Collaborate with stakeholders to understand&nbsp;and deliver on&nbsp;their needs, and work with engineering teams&nbsp;to source data and deploy robust solutions.&nbsp;</li> </ul> <p style="margin-left:0cm">&nbsp;</p> <p style="margin-left:0cm">Be an enthusiastic member of our community</p> <ul> <li>Bring new ideas for future approaches, including state of the art techniques where appropriate.</li> <li>Understand how our business really works and how data science can improve customer experience and our offering to 3^rd parties.&nbsp;</li> <li>Actively contribute to our vibrant Data and Analytics community of over 800 colleagues</li> </ul> <p>&nbsp;</p> <p><strong>What are we looking for?</strong></p> <p>We’re looking for&nbsp;a highly motivated self-starter&nbsp;– someone who&nbsp;fixes&nbsp;problems and creates value without&nbsp;micromanagement. You need to know&nbsp;how to balance our need for technical rigour against our need to deliver commercial and customer value.</p> <p>Value delivery</p> <ul> <li>Experience in Data Science roles in a commercial setting, with evidence of solving complex problems end-to-end.&nbsp;</li> <li>A record of building systems which&nbsp;run in production, and an understanding of the value these generated.&nbsp;</li> <li>An ability to understand commercial reality as well as technical rigour, and a pragmatic mindset.&nbsp;</li> <li>A strong ability to communicate ideas to audiences of varying technical background and seniority, and present key ideas and insights succinctly.&nbsp;</li> <li>Independence in proposing and implementing solutions&nbsp;</li> </ul> <p style="margin-left:0cm">&nbsp;</p> <p style="margin-left:0cm">Data Science expertise</p> <ul> <li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings, with proven experience in some of the following areas: Causal inference, MMMs, Bayesian inference, experimentation, multi-touch attribution, time series modelling.&nbsp;</li> <li>Ability to select the right technique for a given objective and avoid pitfalls.</li> <li>Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.</li> </ul> <p style="margin-left:0cm">&nbsp;</p> <p style="margin-left:0cm">Production-grade design</p> <ul> <li>Advanced programming ability in Python and strong ability to use SQL, with a proven experience of developing complex solutions as part of a team. &nbsp;</li> <li>Solid understanding of working with production codebases, version control and CI/CD.</li> <li>Practical experience working with cloud platforms and MLOps tools to build and maintain production-ready solutions.</li> </ul> <p style="margin-left:0cm">&nbsp;</p> <p style="margin-left:0cm">Development</p> <ul> <li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li> </ul> <p>&nbsp;</p> <p style="margin-left:0cm"><strong>Essential Criteria</strong></p> <ul> <li>Experience in previous Data Science roles in a commercial setting</li> <li>Strong understanding of working with production codebases, version control and CI/CD.</li> <li>Ability to communicate ideas to audiences of varying technical background and seniority&nbsp;</li> <li>Independence in proposing and implementing solutions&nbsp;</li> <li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings</li> <li>Advanced programming ability in Python and strong ability to use SQL&nbsp;</li> </ul> <p>&nbsp;</p> <p><strong>Support we will provide</strong></p> <ul> <li>A vibrant team to bounce ideas off and to support you with specialised knowledge (technical, stats/data science or business processes)</li> <li>Mentoring from Data Science Managers</li> <li>Automation and orchestration support from our integrated engineering and product teams within Nectar360</li> <li>Technical and non-technical training and regular hackathons, learning days and knowledge sharing sessions.</li> </ul> <p>&nbsp;</p> <p>We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Please see www.sainsburys.jobs for details.</p> <p>#DataAndAnalytics</p> <p>#DataScience</p> <p>#LI-CM1</p>