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

Position:

• Data Scientist

Company:

• Tesco

Location:

• Bengaluru, Karnataka, India

Job Type:

• Full-time

Job Mode:

• Not specified; as per the data looks like a Hybrid role

Job Requisition ID:

• Not mentioned

Years of Experience:

• Not specified

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Company Description:

• Tesco, a global retail giant, operates across multiple markets, serving millions of customers worldwide.

• Established in 2004, Tesco in Bengaluru is a multidisciplinary team that delivers high-quality services and technological solutions to enhance customer experience and streamline operations for over 330,000 employees globally.

• Tesco’s Bengaluru operations focus on process standardization, cost efficiency, and enabling agility through technology.

• Tesco Technology includes over 5,000 experts globally, spread across the UK, Poland, Hungary, the Czech Republic, and India.

• The Bengaluru division plays a pivotal role in delivering cross-functional expertise across Engineering, Product, Programme, Service Desk, Operations, Systems Engineering, Security, Data Science, and more.

• Tesco’s retail platform covers diverse capabilities such as customer authentication, product management, pricing, promotion, payment facilitation, and delivery, ensuring seamless experiences across evolving customer touchpoints.

• The company is driven by a commitment to serving customers, communities, and the planet a little better every day, reflecting its deep-rooted values.

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Profile Overview:

• The Data Scientist role at Tesco involves addressing complex business challenges using data science methodologies and deploying scalable data products across various domains.

• You will be involved in diverse problem areas such as physical stores, online platforms, supply chain management, marketing, and Clubcard operations.

• The team encourages rotation across different domains, allowing Data Scientists to develop expertise in various subjects.

• Responsibilities include applying, modifying, and designing algorithms and mathematical models to solve business problems, working with big data architectures like Hadoop and Spark.

• You will be tasked with validating, documenting, and presenting modeling processes while effectively communicating complex solutions to non-experts.

• Promoting data science across Tesco and the broader Data Science community is also part of the role.

• The position offers 10% dedicated time for learning and personal development, along with opportunities for knowledge-sharing events and academic collaborations.

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Qualifications:

• Ideal candidates should have a robust combination of statistical knowledge, programming expertise, and machine learning skills.

• A strong foundation in machine learning and data mining is essential for success in this role.

• Candidates should possess the ability to modify and design advanced algorithms and apply them to large data sets.

• A scientific mindset with the ability to ask relevant questions and provide data-driven answers is required.

• A solid understanding of mathematics, statistical principles, and a higher degree in mathematics, science, engineering, or computer science is preferred.

• Experience in predictive modeling, operational research, deep learning, or time series modeling is highly desirable.

• Proficiency in programming languages, particularly Python, is expected.

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Additional Info:

Rewards and Benefits:

• Tesco offers a competitive and comprehensive rewards package that aligns with industry standards and reflects the company’s commitment to its employees.

Fixed Pay:

• Guaranteed pay as per the terms of the employment contract.

Leave & Time-off:

• 30 days of leave, including:

  • 18 days of Earned Leave

  • 12 days of Casual/Sick Leave

  • 10 national and festival holidays as per company policy

Retirement Benefits:

• Participation in voluntary programs such as the National Pension System (NPS) and Voluntary Provident Fund (VPF), along with statutory retirement benefits.

Health and Wellness:

• Comprehensive medical insurance coverage for employees and their families, including dependents such as parents or in-laws.

Mental Wellbeing:

• Mental health support through:

  • Self-help tools

  • Community groups

  • Ally networks

  • Face-to-face counseling sessions for employees and dependents

Financial Wellbeing:

• Access to one-on-one financial coaching at discounted rates.

• Salary advances on earned wages available upon request.

Save As You Earn (SAYE):

• Opportunity to become Tesco shareholders through a structured 3-year savings plan.

Physical Wellbeing:

• Facilities promoting physical well-being, including:

  • Cricket pitch

  • Football field

  • Badminton and volleyball courts

  • Indoor games to encourage a healthier lifestyle

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Role Description:

Core Responsibilities:

• Apply analytical thinking to develop solutions for complex business problems with minimal supervision.

• Design, modify, and apply algorithms and mathematical models to solve business challenges.

• Work with large-scale data architectures such as Hadoop and Spark to build and deploy data models.

• Validate, document, and present the modeling process and outcomes effectively.

• Communicate complex data solutions to stakeholders in an understandable and actionable manner.

• Advocate for data science practices within Tesco and the broader data science community.

Technical Skills Required:

• Proficiency in Python for data analysis and modeling.

• Strong expertise in machine learning, data mining, and algorithm design.

• Familiarity with big data technologies such as Hadoop and Spark.

• Understanding of mathematical and statistical principles.

Preferred Qualifications:

• Higher degree in mathematics, science, engineering, or computer science.

• Hands-on experience with predictive modeling, operational research, deep learning, and time series modeling.

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Candidate Description:

Ideal Traits:

• Analytical mindset capable of solving business challenges independently.

• Ability to ask insightful questions and deliver actionable solutions.

• Scientific mentality with a focus on experimentation and problem-solving.

Technical Expertise:

• Strong background in machine learning and data mining.

• Ability to develop and modify advanced algorithms for large data sets.

• Proficiency in Python and familiarity with big data architectures.

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What’s in It for You?

Career Growth and Learning:

• Dedicated 10% time allocation for learning and personal development.

• Opportunities to work on diverse problem areas across different domains.

• Exposure to industry best practices through academic collaborations and knowledge-sharing events.

Work-Life Balance:

• Flexibility and a supportive work environment that promotes a healthy work-life balance.

• Team days and a relaxed yet engaging work culture.

Recognition and Advancement:

• Opportunities to promote data science practices internally and externally.

• Scope for rotation across multiple domains, allowing for skill enhancement and career progression.

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About Tesco:

• Founded in 1919 by Jack Cohen, Tesco has evolved from a small market stall in East London to one of the world’s largest retailers of consumer goods, spanning food, fashion, and more.

• With over 400,000 colleagues working across stores, offices, distribution, and customer engagement centers in the UK, Europe, and Asia, Tesco maintains a strong global presence.

• Tesco’s core mission revolves around serving customers, communities, and the planet a little better every day, a philosophy deeply embedded in its corporate culture.

Tesco in Bengaluru:

• Established in 2004, Tesco Bengaluru serves as a key hub for centralizing capabilities and competencies across various business functions.

• The Bengaluru team drives innovation by standardizing processes, delivering cost efficiencies, and enabling agility through technology solutions.

• The team’s cross-functional expertise ensures that Tesco remains a customer-centric organization by providing high-quality services and solutions globally.

Tesco Technology:

• Tesco Technology operates with a team of over 5,000 experts globally, covering various disciplines such as Engineering, Product, Programme, Service Desk, Operations, Systems Engineering, Security, and Data Science.

• The technology division focuses on building a comprehensive retail platform that encompasses all aspects of operations, ensuring seamless experiences across evolving customer touchpoints.

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Additional Information:

• Tesco is committed to fostering a culture of inclusivity, diversity, and innovation.

• The company offers continuous learning opportunities, mentoring programs, and leadership development initiatives.

• Employees are encouraged to participate in community initiatives, reflecting Tesco’s commitment to making a positive impact on society and the environment.

Please click here to apply.

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