Tesco India is hiring for an FRESHER entry level Decision Scientist role in India

Position:

• Decision Scientist

• Focused on supporting business choices through data based insights

• Engaged in analytical projects where ideas are turned into practical solutions

• Works closely with teams to influence outcomes using evidence based reasoning

Company:

• Tesco India

• A large international retail organization with significant presence in India

• Known for customer centric work culture and strong values based environment

• Offers a structured growth path and opportunities to learn from experienced teams

Location:

• Bengaluru, Karnataka, India

• Work takes place in corporate office setting with collaboration across multiple teams

• Access to modern office facilities and a supportive work environment

• Located in a major technology hub that encourages learning and networking

Job type:

• Full time employment

• Permanent opportunity with long term association

• Structured work responsibilities with defined expectations

• Stability in employment and ongoing professional development

Job mode:

• Hybrid work arrangement

• Combination of office days and remote working days based on company policy

• Encourages collaboration, connection with teammates, and focused individual work

• Designed to support work life balance and flexibility

Job requisition id:

• Not specified in the description (but from the link: 163178)

• Will be assigned internally as part of recruitment records

• Used for tracking applications and internal processing

• Candidates may receive it during the application process or communication stage

Years of experience:

• Suitable for early career professionals

• Open to candidates with limited industry background

• Fresh graduates and those with initial professional exposure can apply

• Emphasis on skills, learning ability, and interest in data sciences

Company description

• Tesco India functions as the technology and services center supporting the wider Tesco group, which operates one of the largest retail businesses in the world. The organization emphasizes respect, inclusion, and fairness for every colleague. People are encouraged to bring their individual strengths, personal styles, and unique backgrounds to work. This creates a workplace where everyone feels valued and supported.

• The company believes that diversity brings stronger ideas and better solutions. Individuals from different cultures and life experiences work together toward shared goals, and the company takes pride in providing equal opportunities for candidates from all backgrounds, including persons with disabilities. The recruitment process includes adjustments when required, so that every applicant has a fair chance to succeed.

• Tesco India promotes flexibility to help employees balance their professional and personal commitments. The hybrid working model allows time both in the office and at home. Employees can openly discuss their individual needs, and the organization is supportive of such conversations. The aim is to enable people to grow professionally while also looking after their personal life, family responsibilities, interests, and wellbeing. The company focuses on creating an environment where success is possible for all who contribute.

Profile overview

• The Decision Scientist role centers on helping business teams make better choices through analysis, structured thinking, and fact based insights. The role involves understanding business questions, converting them into analytical problems, and producing results that influence actions. The work is collaborative, involving communication with different functions and stakeholders, so clarity of thought and ability to explain insights are very important.

• A key expectation from this role is building models and algorithms that support decisions in areas such as forecasting, optimization, and estimation. The individual uses programming tools, statistical approaches, and data handling methods to create solutions that improve efficiency or effectiveness in business operations. The work is hands on, with continuous interaction with large data sources and practical problem solving.

• The role also includes creating visual outputs so that decision makers can easily interpret findings. This could be through dashboards, charts, presentations, or summary reports. The Decision Scientist is expected to combine technical knowledge with storytelling ability so that complex analysis becomes understandable and actionable for business users. Continuous improvement, innovation, and curiosity are appreciated qualities for this responsibility.

Qualifications

• A background that supports strong analytical thinking, such as exposure to applied mathematics, statistics, or quantitative subjects, creates a solid foundation for this role. Knowledge of statistical techniques such as regression, experimental design, forecasting methods, and tree based methods is very helpful. Understanding concepts behind these tools is as important as using them in software.

• Practical familiarity with programming languages and analytics tools such as Python, SQL, Hadoop, Tableau, Excel, and presentation tools is expected. These are used daily to extract data, organize information, build models, and communicate insights. Individuals comfortable with learning new tools and adapting to changing technology environments will find the role engaging.

• The ability to think clearly, structure problems, and communicate results is essential. Storyboarding, problem solving attitude, willingness to ask questions, and openness to feedback help in working smoothly with business teams. A formal degree is useful but strong skills, willingness to learn, and interest in data driven decision making carry significant importance.

• Candidates who enjoy working with numbers, interpreting patterns, and deriving meaning from information will find this role suitable. Curiosity, self initiative, responsibility toward deadlines, and collaborative nature are qualities that align well with the expectations of the organization.

Additional info

• Tesco provides a well designed reward structure that covers financial benefits, health protection, and personal wellbeing. Employees receive fixed salary as per contract, performance based bonuses, and several benefits that support long term security and everyday comfort. The organization focuses on fairness and transparency in reward decisions.

• Leave benefits include earned leave, casual or sick leave, and national holidays. Employees also have access to retirement solutions such as statutory benefits along with voluntary schemes including options like NPS and VPF, which help build financial security for the future. Salary advance options and financial coaching support individual financial planning needs.

• Health related benefits include medical coverage for employees as well as eligible dependents, including parents or in laws. The company encourages physical fitness through facilities like sports grounds and indoor games in its campus. Mental wellbeing support is also provided through counseling options, community programs, and learning resources.

• Employees can also participate in the Save As You Earn program that allows them to become shareholders through systematic savings. The work environment is designed to encourage connection, growth, and support. Individuals are encouraged to discuss flexibility needs with the organization, which aims to create a space where people perform well while also taking care of life outside work.

You will be responsible for

• Identifying ways to improve ongoing operations through structured analysis and continuous improvement methods

• Completing assigned tasks and meeting defined performance indicators within timelines

• Applying basic and advanced concepts of work processes in the area of responsibility with accuracy

• Interacting with business teams to understand key challenges, expectations, and priorities

• Converting business questions into analytical frameworks that can be solved using data science methods

• Preparing data sets from multiple sources, cleaning and organizing information for analysis

• Building statistical models and machine learning algorithms to answer business questions

• Writing organized and reusable code, creating knowledge assets and contributing to shared repositories

• Creating visual outputs, dashboards, or recommendation documents to support decision makers

• Working with line managers to ensure implementation of solutions and identifying additional opportunities

You will need

• Knowledge of applied statistics, experimental design, regression methods, decision trees, forecasting, and optimization approaches

• Skills in SQL, Hadoop, Python, Tableau, Excel, and PowerPoint

• Ability to think analytically and solve problems step by step

• Capability to create clear stories from data and present insights in simple language

• Interest in working with cross functional stakeholders

• Curiosity and willingness to learn continuously

• Comfort working with quantitative information and large data sets

Please click here to apply.