Job Description

for MMM Role:

Management Level

: Ind&Func AI Decision Science Consultant

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 Consultant

to join the

Accenture Strategy & Consulting team

in the

Global Network - Data & AI practice

. This role is focused 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. You will work with leading financial clients, leveraging 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

and

analytics

. Contribute to the growth of the

Analytics practice

through knowledge sharing,

staffing

initiatives, and development of new methodologies. Promote thought leadership in

Marketing Analytics

by publishing research and presenting at industry events.

Opportunity Development

Identify

business development opportunities

in

marketing analytics

and develop compelling

business cases

for potential clients. Work closely with

deal teams

to provide

subject matter expertise

in

MMM

, ensuring the development of high-quality client proposals and responses to

RFPs

.

Client Relationship Development

Build and maintain strong,

trusted relationships

with internal and external clients. Serve as a consultant to clients, offering strategic insights to optimize

marketing spend

and performance.

marketing spend

and performance.

Professional & Technical Skills

3+ years

of experience in

Market Mix Modeling (MMM)

and associated optimization techniques. Strong knowledge of

nonlinear optimization

,

AI/ML models

, and

advanced statistical techniques

for marketing. Proficiency in programming languages such as

Python

,

NumPy

,

Pandas

,

Sklearn

,

Seaborne

,

Pycaret

, and

Matplotlib

. Experience with

cloud platforms

such as

AWS

,

Azure

, or

GCP

and

data migration to Snowflake

. Familiarity with

econometrics/statistical modeling

techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis). Hands-on experience in managing

data pipelines

and deploying

scalable machine learning architectures

.

Additional Information:

Master's degree

in

Statistics

,

Econometrics

,

Economics

, or related fields from

reputed universities

.

Ph.D.

or

M.Tech

is a plus.

Excellent communication

and

interpersonal skills

to effectively collaborate with global teams and clients. Willingness to travel up to

40%

of the time. Work on impactful projects to help clients optimize their

marketing strategies

through advanced

data-driven insights

.

About Our Company | Accenture

Job Qualifications

Job Qualifications

Experience:

3+ years of experience

in

Market Mix Modeling (MMM)

and optimization techniques

2+ years for Analysts & 4+ years for Consultants

of experience in

consulting/analytics

within

reputed organizations

Educational Qualification:

Master's degree in

Statistics

,

Econometrics

,

Economics

, or

related fields

from

reputed institutions

*

Ph.D. or M.Tech

in relevant fields is an advantage