Tesco India is hiring for a fresher entry level Data Scientist role in India

Position:

Data Scientist

Company:

Tesco India

Location:

Bengaluru, Karnataka, India

Job type:

Full-time

Job mode:

Hybrid

Job requisition id:

Not specified

Years of experience:

0-3 years

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Company Description

• Tesco is one of the world’s leading retail companies with a long-standing presence in the global market.

• The company is focused on using data-driven insights to improve the customer experience and optimize business operations.

• Tesco India serves as a strategic technology and innovation hub supporting global functions such as analytics, supply chain optimization, digital transformation, and data science.

• Through advanced analytics and machine learning, Tesco aims to improve store performance, pricing accuracy, demand forecasting, and logistics efficiency.

• The organization emphasizes collaboration, continuous learning, and cross-domain exposure, ensuring its teams are always aligned with the latest trends in AI and data-driven decision-making.

• Tesco India promotes a diverse, inclusive, and flexible workplace, offering employees the opportunity to contribute to meaningful projects that have a real-world business impact.

• The company’s Bengaluru office is designed as a hybrid workspace encouraging both in-person collaboration and remote flexibility.

• Tesco fosters a people-first culture, valuing respect, transparency, and curiosity, making it an ideal workplace for individuals passionate about solving business challenges using data science.

• Continuous professional growth, academic partnerships, and knowledge-sharing sessions are part of the culture that keeps the team motivated and innovative.

• Tesco’s purpose is to make everyday life easier for its customers while contributing positively to the communities and markets it operates in.

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Profile Overview

• The Data Scientist role at Tesco focuses on using advanced analytical and machine learning techniques to address diverse business problems across retail operations.

• You will work in a dynamic team that models complex issues related to store management, online sales, supply chains, marketing campaigns, and customer loyalty programs such as Clubcard.

• The position encourages domain rotation, allowing you to gain expertise across various fields like pricing, demand forecasting, logistics, and computer vision applications.

• As part of this team, you will work with big data architectures like Hadoop and Spark to design scalable, production-level solutions.

• The company ensures employees dedicate a portion of their week to personal learning and skill enhancement.

• Collaboration is key, with multiple academic partnerships and internal events dedicated to knowledge exchange.

• You will play an active role in developing predictive models, designing new algorithms, and validating their performance for business use cases.

• Your contributions will directly influence decisions on product placement, pricing strategies, inventory planning, and customer engagement.

• The team values individuals who bring curiosity, problem-solving ability, and strong communication skills to translate technical insights into business impact.

• The work environment at Tesco is supportive, encouraging work-life balance and professional growth through flexible policies and mentorship.

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Key Responsibilities

• Utilize analytical and statistical modeling techniques to solve real-world retail problems at scale.

• Understand and interpret business challenges, developing data-based solutions that can be applied in production.

• Build predictive models and design machine learning pipelines that support decision-making in domains like supply chain, marketing, pricing, and operations.

• Modify existing algorithms or design new ones for high-volume data analysis using big data frameworks such as Spark and Hadoop.

• Validate model performance using statistical testing, ensuring reliability and reproducibility of results.

• Document all processes, methodologies, and outcomes in a structured and transparent manner.

• Present complex technical findings to non-technical stakeholders using clear, concise communication.

• Contribute to Tesco’s internal data community by sharing knowledge, organizing learning sessions, and mentoring peers.

• Represent Tesco in external data science circles, academic forums, and technical events.

• Continuously explore new tools and frameworks that enhance model performance or improve business efficiency.

• Collaborate closely with engineering, business, and product teams to ensure smooth deployment of analytical models into production systems.

• Demonstrate ownership of assigned projects from ideation to execution, keeping business outcomes in focus.

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You Will Need

• A mix of technical expertise, creativity, and analytical thinking.

• Strong understanding of machine learning concepts and their application to business data.

• Solid background in mathematics, statistics, and computer science principles.

• Proficiency in Python for programming, data processing, and model development.

• Experience with tools such as SQL, Pandas, Scikit-learn, TensorFlow, or PyTorch is highly beneficial.

• Ability to design and implement solutions using big data tools and frameworks like Spark, Hadoop, or Hive.

• Exposure to one or more of the following domains: predictive modeling, operational research, deep learning, and time series forecasting.

• An ability to ask the right questions, define measurable objectives, and provide data-backed answers.

• Clear communication skills to convey technical insights in a simple and actionable way.

• A problem-solving mindset that thrives on complex challenges.

• Attention to detail in coding, documentation, and validation.

• Openness to learning and adapting to new analytical frameworks and methodologies.

• A higher degree (Master’s or PhD preferred) in mathematics, computer science, engineering, or a related field.

• Comfort working in a collaborative environment that promotes experimentation and innovation.

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What Is In It For You

• Competitive compensation and a transparent rewards framework that aligns with current industry benchmarks.

• A holistic benefits package built on the principles of fairness, simplicity, and sustainability.

• A total rewards structure covering fixed pay, incentives, and comprehensive benefits.

• Fixed pay aligned with contractual terms, ensuring stability and predictability.

• Generous leave policy with 30 annual days of earned and casual leave, plus 10 national and festival holidays.

• Retirement support through statutory and voluntary options such as NPS and VPF.

• Comprehensive medical insurance covering employees and dependents including parents or in-laws.

• Mental wellbeing initiatives including counseling, peer networks, and digital self-help programs.

• Financial coaching through expert partners and salary advance options for short-term needs.

• Opportunities to participate in the Save As You Earn (SAYE) program, turning employees into shareholders.

• Physical wellness support through sports facilities, green campus spaces, and recreational areas.

• Continuous upskilling opportunities with dedicated time allocated for learning and personal development.

• A healthy work-life balance supported by flexible hybrid work arrangements.

• Recognition programs that appreciate innovation, collaboration, and impact.

• Inclusive policies that respect individual differences and encourage authenticity at work.

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Additional Info

• Tesco’s core philosophy centers around inclusion, fairness, and respect.

• The organization is deeply committed to building a workplace where everyone feels valued and supported.

• Diversity and belonging are integral to the company’s vision and embedded into daily operations.

• The company encourages candidates from all backgrounds, including individuals with disabilities, to apply.

• Tesco Bengaluru is recognized as a Disability Confident Committed Employer.

• The recruitment process is designed to be accessible, with accommodations available upon request.

• Flexibility is a key cultural value; employees can work remotely for part of the week while collaborating in-person for 60 percent of their time.

• The company supports open conversations about personal circumstances to ensure every employee can succeed.

• Tesco encourages a lifelong learning attitude and invests in employee development through internal and external programs.

• The work environment promotes transparency, psychological safety, and professional growth.

• Employee voices are valued in shaping company culture, policies, and innovation strategies.

• As a global brand, Tesco continues to evolve, driven by technology, sustainability, and customer empathy.

• The organization encourages innovation, teamwork, and responsibility among all its colleagues.

Please click here to apply.