S&C Global Network - AI - Merchandising Analytics - Manager

Job location: - Gurgaon

• Global Network:
• Accenture Applied Intelligence practice help our clients grow their business in entirely new ways.

• insights that inform better decisions and strengthen customer relationships.

• from accessing and reporting on data to predictive modelling
• to outperform the competition.

• As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
• Accenture will continually invest in your learning and growth. You'll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications.
• In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

• Working through the phases of project
• Define data requirements for Data Driven Merchandizing capability.
• Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
• 5+ years of advanced experience in Data Driven Merchandizing which involves setting up Pricing/Promotions/Assortment Optimization capabilities across retail clients.
• Knowledge of price/discount elasticity estimation.
• Experience in working with non-linear optimization techniques.
• Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability.
• Hands on experience in state space modeling and mixed effect regression.
• Development of AI/ML models in Azure ML tech stack.
• Develop and Manage data pipelines.
• Develop and Manage Data within different layers of Snowflake environment.
• Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models.
• Working knowledge of Price/Promo optimization.
• Well versed with creating insights presentations and client ready decks.
• Should be able to mentor and guide a team of 10-15 people under him/her.
• Manage client relationships and expectations and communicate insights and recommendations effectively.
• Capability building and thought leadership.
• Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials.
• Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress.