Management Level: Ind&Func; AI Decision Science Manager

Location: Gurgaon, Bangalore

Must-Have Skills:

Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods: SVM, Decision Trees, Programming Languages & Tools: Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP).

Good-to-Have Skills:

Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis).

Job Summary

We are seeking a skilled Ind & Func AI Decision Science Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models,



optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting chance to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation.

Roles & Responsibilities

Engagement Execution

Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions.
Apply advanced statistical techniques and machine learning models to improve marketing effectiveness.
Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies.
Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases.

Practice Enablement

Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling an

📌 S&C Global Network (Chennai)
🏢 Accenture in India
📍 Chennai