Manager-Decision Scientist

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 Services, 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.

- Developing and leading a high performing team, creating an environment for success by setting direction and coaching them to succeed through inspiring conversations every day. (Refer to the expectations of a manager at Tesco- the minimum standards) - Initiates and designs continuous improvements initiatives to drive performance within their teams - Accountable for achieving teams objectives, stakeholder management and escalation management. - Making decisions within policy and procedure framework to deliver business plans. Engage with business teams to understand their key objectives, translate business problems to analytical problems that can drive disproportionate returns and scope the same into analytical scoping document calling out how application of Data Science will improve decision making - Own creation and delivery of long term plans programs based on key priorities of the business function and proactively spot sizeable opportunities to deliver value beyond the agreed plans - Institutionalize robust ways of working by demonstrating thought leadership in scoping the business problems, solution design, developing reusable frameworks, driving best coding practices and knowledge management - Drive value realization through delivery of high impact projects and efficiency gain through automation - Establish frameworks to quantify business impact and measure return on investment for Analytical Investments - Build a culture of continuous measurement and identifying ways to maximize impact delivered per colleague - Develop and lead an impactful team, crafting an environment for success by setting direction, stretch objectives and mentor colleagues to succeed through inspiring conversations every day - Mentor team and building personal development plans for each colleague to enable individual s career development - Lead functional initiatives to drive continuous development of Enterprise Analytics

- Applied Math : Regression Analysis, Tree Based Algorithms, Neural Network, Classification, Clustering, Optimization Programming, Design of Experiments - Tech : Python, SQL, Hive, Hadoop, Spark Tableau, PyDash or any other web based visualization tool - Retail Expertise, Partnership management, Analytical Thinking & Problem solving, Storyboarding, People Management Skills
7-10 years experience in analytics delivery preferred, with preference for: Industry experience: Retail, CPG, e-Commerce Functional experience: Customer, Category / Product Management, Merchandising, Marketing, Supply Chain, Operations, Fulfillment, Finance