Job
Description
About The Role
Management Level: Ind & Func AI Decision Science Manager – Level 7
Location Gurgaon / Bangalore / Mumbai
Functional Commercial Analytics (Route to market), Revenue growth management - pricing, promotion, assortment, Descriptive, Diagnostic, Predictive, prescriptive analytics
Analytics Models knowledgeEconometric Modeling, Statistical Timeseries Models, Store Clustering Algorithms, Causal models, State Space Modeling, Mixed Effect Regression, NLP Techniques, Large Language Models, non-parametric models, AI/ML model development, Supervised and unsupervised learning models, Agentic frameworks, Generative AI models.
Technical Azure ML Tech Stack, SQL, PySpark, Python, Cloud Platform Experience (Azure, GCP), Data Architecture, Data modeling & Pipelines, Power Platform (BI + App), Tableau, Custom Frontend
Soft skill Client stakeholders Management, Team leading skills, Team mentoring & Coaching, PowerPoint and Excel reporting, pro-active initialization, accountability, RFPs Solutioning skills, SP-51 Documentation, Delivery management, Project management tool – JIRA, Azure DevOps etc.
Industry Knowledge CPG, FMCG, Retail
Good to have skills:AWS knowledge Cloud Capability, Scalable Machine Learning Architecture Design Patterns, AI Capability Building, React, Angular Frontend build, Dev Ops pipeline creation, D&A Solution architecture
Experience:Minimum 8+ years of relevant Marketing Analytics experience, with at least 5+ years in end to end Data driven consulting for CGS or 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.
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 projectDefine 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 optimizationWorking 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
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Client Relationship Development
Manage client expectations and develop trusted relationshipsMaintain strong communication with key stakeholders
Qualification
Professional & Technical
Skills:
5+ years of experience in Data Driven Merchandizing which involves work experience in Pricing/Promotions/Assortment Optimization capabilities across retail clientsStrong understanding of econometric/statistical modeling:regression analysis, hypothesis testing, multivariate analysis, time series, optimizationExpertise in Azure ML, SQL, R, Python, PySparkProficiency in non-linear optimization and resource optimizationFamiliarity with design patterns for deploying and maintaining ML models in productionStrong command over marketing data and business processes in Retail and CPGHands-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
About Our Company | Accenture (do not remove the hyperlink)
