Senior Decision Scientist

Tesco Bengaluru; Bengaluru; Hybrid; INR 800,000 - 1,200,000; Full time

Benefits offered by this job

Performance Bonus

30 days of leave

Health insurance

Financial coaching

Mental health support

Save As You Earn (SAYE) program

Job summary

A leading global retailer in Bengaluru is seeking a mid-senior level professional to develop analytics solutions that support data-driven decision-making. Responsibilities include building statistical models, engaging with business partners for analytical solutions, and improving existing processes. Candidates should have 2–4 years of experience in data science, proficiency in key tools like SQL and Python, and a basic understanding of the retail domain. Competitive compensation and a hybrid working model are offered.

Qualifications

• 2–4 years experience in data-science application in retail.
• Experience with regression, decision trees, and NLP techniques.
• Basic understanding of the retail domain required.

Responsibilities

• Develop analytics solutions to enable data-driven decision-making.
• Build statistical models and machine-learning algorithms.
• Engage with business partners to create analytical solution documents.

Skills

Analytical Thinking & Problem Solving

Applied Statistics

Data Visualization

Storyboarding

Education

Bachelor's degree in Mathematics, Computer Science or related field

Tools

SQL

Python

Hadoop

Spark

Tableau

GitHub

Job description

1 day ago Be among the first 25 applicants

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.

Responsibilities

• Follow the Business Code of Conduct and act with integrity and due diligence.
• Understand business needs and possess an in‑depth knowledge of Tesco processes.
• Build on existing Tesco processes and knowledge by applying continuous improvement tools and techniques.
• Complete tasks and transactions within agreed KPIs.
• Analyze solution alternatives to solve problems.
• Engage with business & functional partners to understand priorities, ask relevant questions and scope these into an analytical solution document that demonstrates how data science will improve decision making.
• Prepare analytical datasets by leveraging multiple complex data sources.
• Build statistical models and machine‑learning algorithms with practitioner‑level competency.
• Write structured, modularised, codified algorithms using continuous improvement principles, creating knowledge assets and reusable modules on GitHub, Wiki, etc.
• Build an easy visualization layer on top of algorithms to empower end‑users to make decisions – using a visualization platform such as Tableau or Python, or through a recommendation set presented via PPTs.
• Work with the line manager to ensure application/consumption and proactively identify opportunities to help the larger Tesco business improve.

You will need

• Applied Math: Applied Statistics, Design of Experiments.
• Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS Merchandising, Operations, Finance or Digital PowerPoint, GitHub.
• Business: Basic understanding of the retail domain.
• Soft Skills: Analytical Thinking & Problem Solving, Storyboarding, Articulate communication.
• 2–4 years experience in data‑science application in retail, using techniques such as regression, decision trees, forecasting, optimization, CPG‑preferred algorithms, clustering, NLP.
• Functional experience in Marketing, Supply Chain, Customer, Merchandising, Operations, Finance or Digital.

Whats in it for you?

• Salary – Your fixed pay is the guaranteed pay as per your contract of employment.
• Performance Bonus – Opportunity to earn additional compensation based on performance, paid annually.
• 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‑Free – In addition to statutory retirement benefits, 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.

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 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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industry

Retail

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