Data Scientist

Overview

About the role
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Data Scientist Job Description At Tesco; our Data Science team focuses on modelling complex business problems and deploying data products at scale. Our work spans across multiple areas including physical stores; online; supply chain; marketing and Clubcard; where we encourage rotation amongst our Data Scientists so they can gain expertise in different subjects. We work on several domains and problem types: online; pricing; security; fulfilment; distribution; property; IoT and computer vision are just some. Our team members spend 10% of their week on learning and personal development. Multiple academic collaborations enrich the team expertise; knowledge sharing events are regular. Furthermore; we have a great work-life balance; team days and relaxed but engaging culture. ROLE DESCRIPTION This is a hands-on position where you will need to leverage your analytical mindset to find solutions to complex problems. As a Data Scientist; you will need to understand difficult business problems and prototype solutions with minimal support. Apply; modify and design algorithms and mathematical models to solve business problems on top of big data architectures (Hadoop; Spark) is a core component of the role. Our data scientists will need to be able to validate; document and present the modeling process and performances; as well as communicate complex solutions in a clear; understandable way to non-experts. Data Scientists are also responsible for promoting data science across Tesco and promote Tesco across the external Data Science community. CANDIDATE DESCRIPTION We are looking for ambitious individuals with a mix of statistics; programming; and machine learning skills. The role requires that you have an extensive background in machine learning and data mining. A track record in modifying and designing advanced algorithms and applying them to large data sets is essential. An ideal candidate will have a scientific mentality with the ability to ask the right questions; as well as answer them. A strong numerical higher degree in a mathematical; scientific; engineering or computer science discipline is preferable; as well as a solid understanding of mathematics and statistical principles. Experience in one or more of the following fields is required: predictive modelling; operational research; deep learning; and time series modelling. Finally; strong programming experience (Python is preferred). You will need
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About Us
Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers. Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues Tesco Technology Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles. At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations – from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built.