Decision Scientist at Tesco

India

<span>Tesco India</span> <span aria-hidden="true"> • </span> <span>Bengaluru, Karnataka, India</span> <span aria-hidden="true"> • </span> <span>Hybrid</span> <span aria-hidden="true"> • </span> <span>Full-Time</span> <span aria-hidden="true"> • </span> <span>Permanent</span> <span aria-hidden="true"> • </span> <span>Apply by 16-Dec-2025</span> About the role Enable data driven decision making across the Tesco business globally by developing analytics solutions using a combination of math, tech and business knowledge 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.    <strong>Salary</strong> - Your fixed pay is the guaranteed pay as per your contract of employment.    <strong>Performance Bonus</strong> - Opportunity to earn additional compensation bonus based on performance, paid annually    <strong>Leave &amp; Time-off </strong>- 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.    <strong>Making Retirement Tension-FreeSalary</strong> - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.    <strong>Health is Wealth</strong> - 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.    <strong>Mental Wellbeing</strong> - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.     <strong>Financial Wellbeing</strong> - 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.     <strong>Save As You Earn (SAYE)</strong> - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.     <strong>Physical Wellbeing</strong> - 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 Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities:<br/>- Identifying operational improvements and finding solutions by applying CI tools and techniques<br/>- Responsible for completing tasks and transactions within agreed KPI's<br/>- Knows and applies fundamental work theories/concepts/processes in own areas of work<br/>Engaging with business &amp; functional partners to understand business priorities, ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making<br/>- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources<br/>- Building Statistical models and ML algorithms with practitioner level competency<br/>- Writing structured, modularized &amp; codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency<br/>- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs<br/>- Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)<br/>Key people and teams I work with in and outside of Tesco:People, budgets and other resources You will need - Applied Math: Applied Statistics, Design of Experiments, Linear- Tech: SQL, Hadoop, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital PowerPoint- Soft Skills: Analytical Thinking &amp; Problem solving, Storyboarding<br/><br/>-1 to 2+ year experience in data science application in Retail or CPG &amp; Logistic Regression, Decision Trees, Forecasting, Optimization Preferred algorithms- Functional experience: Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital 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.