Lead Applied Data Scientist

Company Description

Tesco Bengaluru
We are a multifaceted team creating a long-lasting competitive edge for Tesco by standardising processes, reducing costs, promoting flexibility, providing state-of-the-art technological solutions, and empowering our colleagues to do even more for our customers. With a diverse expertise in Global Business Services and Retail Technology & Engineering, a broad network of teams and robust governance, we decrease complexity, thereby offering high-quality services for our customers. Established in 2004, Tesco Bengaluru aims to standardise and construct centralised capabilities and competencies, enhancing the experience for our millions of customers worldwide and simplifying for over 440,000 colleagues.
At Tesco Business Solutions, our mission is to simplify, scale & partner to serve our customers, colleagues and suppliers through a top-tier intelligent Business Services model. We achieve this by creating an outstanding business services model, implementing service model frameworks in all we do for our international customers. Key to this is implementing and executing this service model consistently across all functions and markets. The aim of business services is to free our colleagues from regular manual operations. Cognitive technology enables us to enhance our key decision-making process. We've also established a culture of Continuous Improvement (CI) throughout our functions to drive business efficiencies from the ground up by optimising processes. Our business services colleagues act as business partners with group stakeholders, fostering a partnership that encourages continuous improvement across markets and functions, offering the best customer experience, and serving our shoppers a little better each day.
At Tesco, inclusion means Everyone's Welcome. Everyone is treated equally and with respect; we value uniqueness and individuality, fostering a sense of belonging.
Diversity and inclusion have always been at the core of Tesco. It is an integral part of our values: we treat people the way they want to be treated. We always want our colleagues to feel comfortable being themselves at work and are dedicated to helping them perform at their best.
Across the Tesco group, we are cultivating an inclusive workplace to actively celebrate the cultures, personalities, and preferences of our colleagues. In turn, they help build our business's success and reflect the diverse communities we cater to.

Job Description

In this role, I am accountable to:
- Adhere to Tesco's Business Code of Conduct and always act with integrity and due diligence
- Engage with markets to decipher problems to be solved; translating business issues into analytics problems; taking responsibility for certain analytical modules; guiding the team to solve them, and explaining the solutions back to decision-makers in understandable business terms
- Execute analytics projects resulting in disproportionately high value delivery
- Create analytical assets that are utilized in a production environment and deliver value over extended periods
- Drive efficiency gains by automating repetitive tasks; report construction or dashboard updates
- Collaborate and direct colleagues to design, implement, and evaluate analytical solutions
- Be responsible for the high quality and timely completion of assigned work deliverables
- Write well-detailed, structured, and computationally efficient codes
- Contribute to the development of knowledge assets and reusable modules on GitHub/Wiki
- Instigate a CI culture; implement CI projects and foster innovation within the team
- Utilize Process Mapping Tools and Techniques, solve problems and undertake process coaching

Qualifications

Advanced Logical Reasoning, Excel & Statistical Concepts
Advanced SQL, Hive, Python,Tableau, R shiny, Basic Statistical Concepts - Central Measures of data; Linear & Logistics regression
Decision Trees – CHAID, CART, RF, XGBoost
Process Mapping Tools and Techniques
Problem-Solving Skills
Process Coaching

Additional Information

Application Deadline - 14th Nov 2023