Tesco is Recruiting Decision Scientist 2025:-
Tesco is hiring candidates for the role of “Decision Scientist“ in the Bengaluru Location of India. The complete details about Decision Scientist In Tesco are given below.
| Company :– | Tesco |
| Job Role :- | Decision Scientist |
| Location :- | Bengaluru |
| Salary :- | As per Company Standards |
| Last Date to Apply :- | 10-Jan-2026 |
About the Role:-
- Tesco is seeking a Decision Scientist to enable data-driven decision-making across its global business. In this role, you will develop advanced analytics solutions that combine mathematical modeling, technology, and business knowledge to drive strategic initiatives.
- You will work with cross-functional teams to identify key opportunities, build predictive and prescriptive models, and provide actionable insights that inform business strategies across Retail, CPG, and other functional domains.
Qualifications:-
Bachelor’s or Master’s degree in one of the following (or equivalent):
- Statistics
- Mathematics
- Data Science
- Computer Science
- Engineering
- Business Analytics
- Economics or related quantitative fields
Skills Required:-
Technical Skills
- Applied Mathematics & Statistics: Design of Experiments, Linear & Logistic Regression, Decision Trees, Forecasting, Optimization algorithms.
- Programming & Tools: SQL, Hadoop, Python, Tableau, Microsoft Excel, and PowerPoint.
Soft Skills
- Strong analytical thinking and problem-solving abilities.
- Storyboarding skills to communicate insights effectively to stakeholders.
- Excellent interpersonal and collaborative skills for working across diverse teams.
Experience & Domain Knowledge
- 1–2 years of practical experience applying data science in Retail, CPG, or related industries.
- Functional experience in areas like Marketing, Supply Chain, Customer Analytics, Merchandising, Operations, Finance, or Digital is preferred.
Key Responsibilities:-
As a Decision Scientist at Tesco, you will be responsible for:
- Integrity & Compliance: Follow Tesco’s Business Code of Conduct and act with integrity, diligence, and accountability in all tasks.
- Business Engagement: Engage with business and functional partners to understand priorities, ask relevant questions, and translate requirements into analytical solution documents demonstrating how data science can drive better decision-making.
- Data Preparation: Design and prepare complex analytical datasets by integrating multiple data sources, ensuring quality, completeness, and accuracy.
- Model Development: Build statistical models, machine learning algorithms, and predictive models to solve business challenges, optimize operations, and generate actionable insights.
- Algorithm Codification: Write structured, modularized, and reusable algorithms, leveraging continuous improvement principles. Maintain knowledge assets on platforms like GitHub, Wiki, or internal repositories for future scalability.
- Data Visualization: Create intuitive visualization layers on top of models using Tableau, Python, or PowerPoint dashboards to enable easy decision-making for business stakeholders.
- Proactive Problem Solving: Identify opportunities beyond immediate project scope to address larger business questions and suggest data-driven solutions.
- Collaboration: Work closely with line managers, analytics teams, and cross-functional stakeholders to ensure insights are applied and consumed effectively.
Company Benefits:-
- Salary: Fixed pay as per your employment contract.
- Performance Bonus: Opportunity to earn an additional compensation bonus annually based on performance.
- Leave & Time-off: Colleagues are entitled to 30 days of leave (18 Earned Leave, 12 Casual/Sick Leave) and 10 national/festival holidays as per company policy.
- Retirement Planning: Participate in voluntary programs like NPS (National Pension Scheme) and VPF (Voluntary Provident Fund) to secure your financial future.
- Health & Wellness: Comprehensive medical coverage for employees and dependents, including parents and in-laws. Programs promoting a healthy lifestyle are actively encouraged.
- Mental Wellbeing: Access to mental health support, self-help tools, community groups, ally networks, face-to-face counselling, and resources for dependents.
- Financial Wellbeing: One-on-one financial coaching, salary advances on earned wages, and other literacy initiatives.
- Save As You Earn (SAYE): Structured 3-year savings plan allowing colleagues to become Tesco shareholders.
- Physical Wellbeing: Green campus facilities including cricket pitch, football field, badminton & volleyball courts, and indoor games.
Tesco is Recruiting Decision Scientist 2025 Application Process:-
Interested candidates can apply from the given below link.
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.