What will you do:Â
Problem Solving:Â Apply statistical, machine learning, and optimisation techniques to solve business problems across the retail value chain, supporting use cases such as forecasting, pricing, inventory optimisation, customer decisioning, and operationsÂ
Problem Framing & Analysis:Â Work with stakeholders and senior team members to understand business challenges, translate them into tangible data science or machine learning problems, and carry out exploratory analysis, feature engineering, experimentation, and model evaluationÂ
Model Development &Â Productionisation:Â Design, build, test, and support the deployment and monitoring of robust, scalable data science and machine learning solutions in production environmentsÂ
Cross-Functional Delivery: Collaborate closely with Data Engineers, MLOps, Product Managers, Analysts, and business stakeholders to support the successful delivery, adoption, and embedding of data science solutionsÂ
Capability Contribution: Contribute to reusable assets, templates, and best practices across the team, while continuously improving your own technical, commercial, and software engineering skillsÂ
Who you are:Â
Technical / Data Science / ML: S Strong Python skills across EDA, statistical modelling, ML, experimentation, and model evaluation. Familiarity with production environments is a plus; PySpark or similar distributed frameworks are desirable, and exposure to optimisation techniques is advantageousÂ
Problem Solving: Strong analytical and structured problem-solving skills, with the ability to work through ambiguity and apply appropriate data science techniques to deliver insight and valueÂ
Delivery Mindset:Â Experience contributing to end-to-end data science projects, with a good understanding of how solutions move from exploration to production and create practical business impactÂ
Collaboration & Communication:Â Comfortable working in cross-functional teams and able to communicate technical concepts, findings, and recommendations clearly to both technical and non-technical audiencesÂ
Software Engineering & Learning Agility: Good understanding of software engineering fundamentals including version control, modular design, testing, and documentation, combined with a proactive and curious mindset to continuously develop your technical and business understandingÂ
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Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We’re an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.
Here are some of the benefits we offer that make working for M&S just that little bit more special…
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Everyone's welcome
We are ambitious about the future of retail. We’re disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We’re transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.
We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.
If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don’t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.
#hybridrole #LI-Hybrid #LI-HB1
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