Lead Decision Scientist

Tesco Bengaluru; Bengaluru; Hybrid; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Guaranteed salary based on contract

Annual performance bonus

30 days of leave plus 10 holidays

Medical insurance for dependents

Financial coaching

Job summary

A leading multinational retailer in Bengaluru is seeking a Lead Decision Scientist to drive enterprise analytics and partner with cross-functional teams. The role requires over 5 years of data science experience in sectors like retail. Key responsibilities include building statistical models, mentoring junior data scientists, and ensuring data-driven decisions across the company. The firm promotes inclusivity and offers a hybrid work model, emphasizing flexibility and a supportive work environment.

Qualifications

• 5+ years of experience in data science within retail or related industries.
• Experience with various data science techniques including regression and NLP.
• Ability to lead a small team and mentor junior staff.

Responsibilities

• Drive enterprise analytics and enable data-driven decisions.
• Build statistical models and machine learning algorithms.
• Mentor and lead a small team of Applied Data Scientists.

Skills

Data science application

Statistical modeling

SQL

Python

Tableau

Analytical thinking

Tools

Hadoop

Spark

MS Excel

PowerPoint

GitHub

Job description

Lead Decision Scientist – Tesco Bengaluru

Join to apply for the Lead Decision Scientist role at Tesco Bengaluru.

About the role

As a Lead Decision Scientist, you will drive enterprise analytics and partner with cross‑functional teams across Tesco to enable data‑driven decisions and deliver on key strategic priorities.

Key responsibilities

• Represent Talent Acquisition in all forums and seminars pertaining to process, compliance and audit.
• Perform other miscellaneous duties as required by management.
• Drive continuous improvement culture and implement CI projects and innovations within the team.
• Engage with business and functional partners to understand priorities, ask relevant questions and scope the same into an analytical solution document showing how applications of data science will improve decision making.
• Deep understanding of techniques to prepare analytical datasets leveraging multiple complex data sources.
• Build statistical models and ML algorithms with practitioner level competency.
• Write structured, modular and codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub, Wiki, etc) with expert competency.
• Build easy visualization layer on top of the algorithms and/or deliver a recommendation set through presentations to empower end‑users to take decisions (e.g. Tableau, Python, PowerPoint).
• Proactively drive consumption of solutions developed by the team and own the initiatives to identify and address areas of improvement in the larger Tesco business.
• Keep up to date with the latest in data science and retail analytics and disseminate the knowledge among colleagues.
• Mentor and lead a small team of Applied Data Scientists to deliver high‑impact analytics projects.

Required experience and skills

• 5+ years of experience in data science application in industries such as retail, consumer packaged goods, telecom or hospitality.
• Experience with regression, decision trees, forecasting, optimisation, clustering, NLP, and delivery of analytics solutions.
• Proficiency in SQL, Hadoop, Spark, Python, Tableau, MS Excel and PowerPoint. Familiarity with GitHub.
• Basic understanding of the retail domain (customer analytics, merchandising, operations, finance, digital). Exposure to marketing, supply‑chain and other functional areas.
• Strong analytical thinking, problem‑solving, analytics storytelling, stakeholder engagement and team leadership skills.
• Ability to work with budgets and other resources in your role.

Benefits

The Tesco Rewards framework consists of fixed pay, incentives, and benefits. Total rewards are based on four principles – simple, fair, competitive, and sustainable.

• Salary – Guaranteed fixed pay as per your contract.
• Performance bonus – Opportunity to earn additional compensation based on performance, paid annually.
• Leave and time‑off – 30 days of leave (18 earned, 12 casual/sick) and 10 national and festival holidays.
• Retirement – Statutory retirement benefits and voluntary programmes.
• Health – Medical insurance covering dependents.
• Mental wellbeing – Mental health support and counselling.
• Financial wellbeing – Financial coaching and salary advance.
• SAYE programme – Structured plan to become a Tesco shareholder.
• Physical wellbeing – Green campus with sports facilities.

About Tesco

Tesco is committed to inclusivity, diversity, and equal opportunity. We are a Disability Confident Employer and provide reasonable adjustments throughout the recruitment process. Our hybrid working model offers flexibility with 60% of time in office.