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Strong global brand, metro Bengaluru location, and broad ML/cloud skill requirements increase candidate competition.
Requires retail pricing experience plus advanced ML skills, moderately limiting transferability across industries.
Explicit 7–10 years plus mandatory ML, LLM, cloud, orchestration, and advanced-degree requirements make filters strict.
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Develop advanced analytics and production-ready models focused on pricing, promotions, and discounts optimization to drive revenue and reduce costs.
Apply machine learning, AI techniques, and cloud-based technologies to leverage diverse data sets for business insights and operational improvements.
Collaborate with cross-functional teams to translate complex data into actionable insights and contribute to a global Data, Analytics & AI community.
Advanced degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or equivalent discipline required.
7 to 10 years of experience developing models and algorithms in a commercial environment with measurable business impact.
Strong skills in SQL, Python, data visualization tools (Looker, Streamlit, Tableau), and cloud platforms (GCP, AWS, or other).
Experience with ML orchestration systems (Kubeflow, Vertex AI Pipelines, Airflow), software engineering best practices, and expertise in multivariate statistical modeling and machine learning algorithms.
Experienced in retail or FMCG with specific skills in pricing elasticity modeling, promotional campaign optimization, and discounts recommendations.
Ability to manage multiple deliverables and coordinate across various business stakeholders in an agile environment.
Demonstrated expertise in implementing and optimizing Large Language Models (LLMs) for business applications and strong knowledge of cloud-based analytics frameworks.