About the role

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.

What is in it for you At Tesco, we are committed to providing the best for you.    As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.    Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.     Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable.    Salary - Your fixed pay is the guaranteed pay as per your contract of employment.    Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy.    Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.    Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.    Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.     Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.     Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.     Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.  You will be responsible for 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. You will need

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 in Python.

About us At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values—we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.     At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.     We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly—spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone’s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.