Senior Data Scientist

Category: Information Technology

Location: Bengaluru, KA


Senior Data Scientist

Bengaluru, KA, India

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Company Description

Tesco Bengaluru: We are a multi-disciplinary team creating a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility, providing cutting-edge technological solutions and empowering our colleagues to do ever more for our customers. With cross-functional expertise in Global Business Services and Retail Technology & Engineering, a wide network of teams and strong governance we reduce complexity thereby offering high quality services for our customers. Tesco Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 4,40,000 colleagues.
Tesco Technology consists of people from a number of different backgrounds, but having a common purpose to serve our shoppers a little better every day with our retail technological solutions. We shared a common interest in harnessing innovations in technology to enhance their shopping experience at Tesco stores. Whether making products, software or systems, our teams focuses on various aspects from taking strategic ownership of the architecture to delivering technological solutions such as design, testing, deployment, infrastructure, operation and security of the systems to ensure agile, smooth and safe operations. These help us to deliver the maximum business impact. Teams refine their internal processes to best fit their own needs, working to build core capabilities in application and services. We collaborate globally across teams to build end-to-end customer-facing solutions, as well as to share knowledge, experience, tools and techniques.

Additional Information

Important Notice: 

On behalf of Tesco Bengaluru, we must caution all job seekers and educational institutions that Tesco Bengaluru does not authorise any third parties to release employment offers or conduct recruitment drives via a third party. Hence, beware of inauthentic and fraudulent job offers or recruitment drives from any individuals or websites purporting to represent Tesco. Further, Tesco Bengaluru does not charge any fee or other emoluments for any reason (including without limitation, visa fees) or seek compensation from educational institutions to participate in recruitment events. 

Accordingly, please check the authenticity of any such offers before acting on them and where acted upon, you do so at your own risk. Tesco Bengaluru shall neither be responsible for honouring or making good the promises made by fraudulent third parties, nor for any monetary or any other loss incurred by the aggrieved individual or educational institution. 

In the event that you come across any fraudulent activities in the name of Tesco Bengaluru, please feel free report the incident at 

Job Description

A Data Scientist is someone who can obtain explore and model data by blending maths algorithms and a scientific mindset in order to support and automate decision making across the business. In this job you will

  • Utilise an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Lifecycle and execute end-to-end Data Science project
  • Work end-to-end on Data Science developments contributing to all aspects of the project lifecycle
  • Understand difficult business problems and prototype solutions
  • Analyse and link complex datasets so that they may be learned from or optimised
  • Scientifically analyse and evaluate the effectiveness of different approaches to guide future development and track the value created by the team
  • Build mathematical models on top of big data architectures to gain deep insights into opportunities to improve the customer experience and the Tesco business
  • Partner with technology teams to productionize developments
  • Communicate complex solutions in a clear understandable way to non-experts
  • Promote data science across Tesco and promote Tesco across the external Data Science community


Other non technical skills

  • Have excellent written and verbal communication skills and clearly articulate your ideas.
  • Learn new areas/disciplines quickly.
  • Are a team player and work collaboratively with other members of the team.
  • Seek help and guidance when appropriate.
  • Are self-organised and can plan your work in line with the team plan and priorities.
  • Take an active part in the Data Science community building and knowledge sharing with peers.
  • Demonstrate empathy and listening skills to understand the needs of your stakeholders and customers and strong persuasion skills to influence others.
  • Encourage collaboration and communication between teams.
  • Keep up-to-date with data trends and developments showing a strong interest and commitment to Tesco your work and Data Science
  • Have great presentation skills and can present your ideas/ thoughts/plans with clarity and confidence.
  • Demonstrate ownership responsiveness and commitment towards your work.
  • Demonstrate strong data-based decision-making skills especially when multiple trade-offs are involved and fast decision-making is required.
  • Have great coaching skills and mentor junior colleagues and peers in your team.
  • Confidently and competently represent the team when needed.
  • Collaborate with external suppliers and solution providers.
  • Use the Tesco leadership skills to encourage and get the best out of the people you work with.


Customer Commercial & Critical Thinking

  • Have an analytical thought process and ability to process complex information.
  • Understand key user personas customers and stakeholders for your project and their pain points really well.
  • Keep customers as focus of analysis insight and recommendation.
  • Help define business objectives/customer needs by capturing the right requirements from the right customers.
  • Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
  • Have an understanding of the commercial impact of your recommendations and insight
  • Can identify unstructured problems and articulate opportunities to form new analytics project ideas
  • Functional (e.g.quantitative techniques)
  • Contribute to all aspects of the Data Science project lifecycle
  • Understand and monitor data quality to improve confidence in the data used for analysis
  • Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
  • Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
  • Execute hypothesis-driven analysis to address business questions issues and opportunities
  • Build validate and manage advanced models (e.g. explanatory predictive) using statistical and/or other analytical methods
  • Are familiar working within Agile Project Management methodologies / structures
  • Analyse results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
  • Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
  • Analyse results using statistical methods to make recommendations to improve customer experience and business results
  • Skilled at managing processing and optimising performance and reliability of automated data streams and analytical workflows


  • Advanced knowledge level of the Data Science Toolbox
  • Familiar with configuring Data Science analytics environments (technology software etc)
  • Understanding of ETL principles (Data munging joins etc)
  • Experience working in Hadoop / Big Data environments and common Data Science toolkits
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