Decision Scientist

Bengaluru, India

Tesco Bengaluru

At Tesco Bengaluru, over 4000+ colleagues are working towards living our purpose of serving our customers, communities, and planet.

View all jobs at Tesco Bengaluru

Apply now Apply later

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.
At Tesco Business Solutions, we have a mission to simplify, scale & partner to serve our customers, colleagues and suppliers through a best-in-class intelligent Business Services model . We do this by building a world class business services model by executing service model framework right at the heart of everything we do for our worldwide customers. The key objective is to implement and execute service model across all our functions and markets consistently. The ethos of business services is to free-up our colleagues from a regular manual operational work. We use cognitive technology to augment our key decision making. We also built a Continuous Improvement (CI) culture across functions to drive bottom-up business efficiencies by optimising processes. Business services colleagues need to act as a business partner with our group stakeholders to build a collaborative partnership driving continuous improvement across markets and functions to lead the best customer experience by serving our shoppers a little better every day.
At Tesco, inclusion means that Everyone's Welcome. Everyone is treated fairly and with respect; by valuing individuality and uniqueness we create a sense of belonging.
Diversity and inclusion have always been at the heart of Tesco. It is embedded in our values: we treat people how they want to be treated. We always want our colleagues to feel they can be themselves at work and we are committed to helping them be at their best.
Across the Tesco group we are building an inclusive workplace, a place to actively celebrate the cultures, personalities and preferences of our colleagues, who in turn help to build the success of our business and reflect the diversity of the communities we serve.


Job Description

- Identifying operational improvements and finding solutions by applying CI tools and techniques
- Responsible for completing tasks and transactions within agreed KPI's
- Knows and applies fundamental work theories/concepts/processes in own areas of work
Engaging with business & functional partners to understand business priorities; ask relevant questions and scope same into a analytical solution document calling out how application of data science will improve decision making
- In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources
- Building Statistical models and ML algorithms with practitioner level competency
- Writing structured; modularized & codified algorithms using Continuous Improvement principles (development of knowledge assets and reusable modules on GitHub; Wiki; etc) with expert competency
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a visualization platform (Tableau / Python) or through a recommendation set through PPTs
- Working with the line manager to ensure application / consumption and also think beyond the immediate ask and spot opportunities to address the bigger business questions (if any)


- Applied Math: Applied Statistics; Design of Experiments; Linear & Logistic Regression; Decision Trees; Forecasting; Optimization algorithms
- Tech: SQL; Hadoop; Python; Tableau; MS Excel; MS Powerpoint
- Soft Skills: Analytical Thinking & Problem solving; Storyboarding

Additional Information

Last Date of Application-10th Feb 2024

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 

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  0  0

Tags: CX Engineering Excel GitHub Hadoop Machine Learning Mathematics Python SQL Statistics Tableau

Perks/benefits: Competitive pay Team events

Region: Asia/Pacific
Country: India

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.