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.
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:
Masters 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 | AccentureQualificationExperience:
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:
Masters degree in
Statistics,
Econometrics,
Economics, or
related fields from
reputed institutions
Ph.D. or M.Tech in relevant fields is an advantage
