AI - Retail - Consultant - Data Scientist (Merchandising experience)

Accenture; Gurugram District; On-site; INR 1,500,000 - 2,800,000; Full time

Job summary

Accenture is seeking a Data Scientist (Consultant level) to develop AI/ML driven retail solutions. You will partner with global clients to identify opportunities, build predictive models, and deploy scalable pipelines.

Focus areas include demand forecasting, pricing optimization, personalization, and customer experience improvements. You will work with structured and unstructured data from POS, loyalty programs, clickstreams, catalogs, and supply chains, applying advanced analytics and data

Qualifications

• Experience in AI/ML for retail or consumer industries.
• Ability to design and deploy predictive models end-to-end.
• Experience with structured and unstructured retail data.
• Strong collaborative skills with cross-functional teams.

Responsibilities

• Identify AI/ML use cases with retail clients.
• Design, develop, and implement ML models for forecasting and personalization.
• Handle POS, loyalty, clickstream, and supply chain data.
• Apply statistics and data mining to generate insights.
• Build end-to-end data pipelines from prep to deployment.
• Collaborate with data/cloud engineers and business stakeholders.
• Create reusable frameworks for retail AI use cases.
• Present results and actionable recommendations to clients.
• Ensure solutions are ethical and privacy-compliant.

Skills

AI

Advanced analytics

Machine learning

Predictive modeling

Data mining

Tools

Python

R

TensorFlow

Scikit-learn

SQL

Job description

Role Summary

We are seeking a Data Scientist (Consultant level) with expertise in AI and advanced analytics for the retail sector. The role involves developing AI/ML-driven solutions to optimize customer experience, sales forecasting, pricing, supply chain, and personalization strategies. The consultant will collaborate with global retail clients to identify opportunities, build predictive models, and deploy scalable solutions.

Key Responsibilities

• Partner with retail clients to understand business challenges and identify AI/ML use cases.
• Design, develop, and implement machine learning models for demand forecasting, pricing optimization, recommendation systems, and customer segmentation.
• Work with structured and unstructured retail data including POS, customer loyalty, clickstream, product catalogs, and supply chain data.
• Apply advanced analytics, statistical methods, and data mining to generate insights.
• Develop end-to-end pipelines for data preparation, feature engineering, model training, evaluation, and deployment.
• Collaborate with cross-functional teams (data engineers, cloud engineers, domain experts, and business stakeholders).
• Create reusable frameworks and accelerators for retail AI use cases.
• Present results to client stakeholders and provide actionable business recommendations.
• Ensure AI solutions are ethical, explainable, and aligned with data privacy regulations.