S&C Global Network - AI - Song -Agentic Sales- Consultant

Accenture; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Accenture is seeking a Data AI consultant with strong marketing analytics and merchandising optimization experience. You will define data needs, build analytics capabilities, and develop AI/ML models in Azure to drive data-driven growth for retail clients.

You will handle data pipelines, model development, and insights communication, while managing client relationships and contributing to thought leadership within a global Data AI practice.

Qualifications

• Must have at least 4+ years of work experience in Marketing analytics.
• 3+ years of experience in Data Driven Merchandizing across pricing/promotions/assortment optimization in retail.

Responsibilities

• Define data requirements for Data Driven Growth Analytics capability.
• Clean, aggregate, analyze, interpret data; perform data quality analysis.
• Develop and manage data pipelines; build AI/ML models in Azure ML stack.
• Communicate insights and recommendations to clients; manage expectations.
• Develop capability building and thought leadership; manage client relationships.

Skills

Marketing analytics

Data driven merchandizing

Statistical timeseries models

Store clustering

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 platforms (Azure/AWS/GCP)

Data pipelines

Client management

Insights communication

Education

Bachelor's or Master's in Statistics/Economics/Mathematics/Computer Science

Tools

Azure ML

SQL

R

Python

PySpark

Job description

Management Level: - Ind Func AI Decision Science Consultant - Level 9

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.

Client Relationship Development

• Manage client expectations and develop trusted relationships
• Maintain strong communication with key stakeholders
• Act as a strategic advisor to clients on their data-driven marketing decisions

Professional Technical Skills

Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.

3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.

Strong understanding of econometric/statistical modeling: regression analysis, hypothesis testing, multivariate analysis, time series, optimization

• Expertise in Azure ML, SQL, R, Python, PySpark
• Proficiency in non-linear optimization and resource optimization
• Familiarity with design patterns for deploying and maintaining ML models in production
• Strong command over marketing data and business processes in Retail and CPG
• Hands-on with tools like Excel, Word, PowerPoint for communication and documentation

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.

Qualification

Experience: Must have at least 4+ years of work experience in Marketing analytics with a reputed organization.

3+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clients.

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.