I&P - GN - SONG - AI & Data - Sales - Data Science - Consultant
Accenture (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 12–20 LPA
Posted 20h ago
Reach people at Accenture
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Accenture you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Define and manage data requirements and pipelines for Data Driven Merchandizing capabilities focusing on Pricing, Promotions, and Assortment Optimization.
- Develop, deploy, and maintain AI/ML models using Azure ML and perform advanced statistical modeling including price/discount elasticity estimation, state space modeling, and mixed effect regression.
- Lead creation of client-ready insights presentations, mentor junior team members, and collaborate with consultants and managers on analytics projects.
Minimum Requirements
- 3+ years of experience in consulting/analytics with a focus on Data Driven Merchandizing in retail, specifically in pricing, promotions, or assortment optimization.
- Master’s or higher degree in Statistics, Econometrics, Economics, Computer Science, or related fields from reputed institutions.
- Proficiency in SQL, R, Python, and at least one cloud platform (Azure, AWS, GCP); experience migrating AI capabilities across cloud platforms.
- Strong knowledge of price/discount elasticity models, non-linear optimization, state space and mixed-effect modeling, and advanced statistical techniques relevant to industry data.
Ideal Candidate Profile
- Experienced in consulting environments delivering analytics solutions in retail, with strong technical skills in statistical modeling and cloud-based AI/ML deployment.
- Capable of both hands-on technical execution and leading client communications, including preparing presentations and mentoring juniors.
- Familiar with scalable machine learning architectures and managing data environments like Snowflake, showing a balance of technical depth and project leadership.