S&C Global Network - AI - Marketing Growth Analytics (DS) - Analyst

Management Level: Ind & Func AI Decision Science Analyst – Level 11

Location: Gurgaon / Bangalore / Mumbai / Hyderabad

Must-have skills: Marketing Analytics, Data Driven Merchandizing (Pricing/Promotions/Assortment Optimization), Statistical Timeseries Models, Store Clustering Algorithms, Descriptive Analytics, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, Azure ML Tech Stack, SQL, R, Python, AI/ML Model Development, Cloud Platform Experience (Azure/AWS/GCP), Data Pipelines, Client Management, Insights Communication

Good to have skills: Non-linear Optimization, Resource Optimization, Cloud Capability Migration, Scalable Machine Learning Architecture Design Patterns, Econometric Modeling, AI Capability Building, Industry Knowledge: CPG, Retail

Job Summary

As part of our Data & AI practice, you will join a worldwide network of 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.

Roles & Responsibilities:

• Working through the phases of project
  • Define data requirements for Data Driven Growth Analytics capability.
  • Clean, aggregate, analyze, interpret data, and carry out data quality analysis.
  • Knowledge of market sizing, lift ratios 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.
  • 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 resource optimization
  • Working knowledge of NLP techniques, Large language models.
• 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.

Professional & Technical Skills:

Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization.

• Must have knowledge of SQL, R & Python language and at-least one cloud-based technology (Azure, AWS, GCP)
• Must have knowledge of building price/discount elasticity models and conduct non-linear optimization.
• Must have good knowledge of NLP models, Large Language Models and applicability to industry data.
• Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes

Additional Information:

• Bachelor/Master’s degree in Statistics/Economics/ Mathematics/ Computer Science or related disciplines with an excellent academic record
• Knowledge of CPG, Retail industry.
• Proficient in Excel, MS word, PowerPoint, etc.
• Strong client communication.

About Our Company | Accenture

Experience: Must have at least 2+ years of work experience in Retail/CPG - Marketing analytics with a reputed organization.

Educational Qualification:Bachelor/Master’s degree in Statistics/Economics/Mathematics/Computer Science or related disciplines. Preferred advanced degrees include M.Tech, M.Phil/Ph.D in Statistics/Econometrics or related field from reputed institutions.

About Accenture

We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.Join Accenture to work at the heart of change.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.