Tesco : Sr. Manager - Applied Data Scientist

Brief Description of position:

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.
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

  • Follow Tesco's Business Code of Conduct and always acting with integrity and due diligence
  • Partner with market leadership to create the vision and analytics road-map and improve analytical maturity of business function
  • Accountable for engaging with markets to understand their key outcomes identifying and drive projects that will result in disproportionate returns
  • Partner with stakeholders and central finance team to measure and get sign off and attribution of the benefits delivered through analytics initiatives
  • Mentor and guide team to design analytical assets that are deployed in production environment and will delivery value on sustained basis
  • Accountable for achieving teams objectives stakeholder management and escalation management
  • Represent Enterprise Analytics & Tesco in internal and external forums
  • Provides inputs that impact the functions plans policies influences the budget and resources in their scope.
  • 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.
  • Promoting a culture of CI within their teams to drive operational improvements

Qualifications

Understanding of machine learning techniques - Linear & Logistics regression Decision Trees Random Forest XgBoost and Neural Network - Knowledge of Python SQL Hive and one of the visualization tools (Tableau) - Stakeholder Management

Location
Bangalore
Minimum Work Experience:
10 years
Maximum Work Experience:
12 years
Maximum CTC (in lakhs per annum):
200.0
Mandatory SkillSet:
SQL, Python, Machine Learning.
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