I&P - GN - SONG - AI & Data - Marketing - MMM - Consultant

Job Title -  Data Science Consultant | S&C Management Level : 09 - Consultant Location: PAN India Must have skills: Marketing Mix Modeling (MMM), Bayesian Modelling , Open-source Library - PyMC, Meridian, Robyn , Python Good to have skills: Multi Touch Attribution , AI/Gen AI Job Summary: As a Marketing Mix Modeling (MMM) Consultant, you will be responsible for building, calibrating, and interpreting marketing mix models to help clients measure and optimize the effectiveness of their media investments. Your typical day will involve hands-on model development using open-source frameworks such as PyMC, Meridian, and Robyn, working closely with client teams and senior colleagues to deliver data-driven insights that inform media planning and budget allocation decisions. Roles & Responsibilities: - Develop and implement Marketing Mix Models using open-source frameworks including PyMC, Google Meridian, and Meta Robyn. - Conduct data preparation, cleaning, and exploratory analysis on media spend, sales, and external factor datasets. - Apply Bayesian and regression-based MMM techniques to quantify channel contribution, ROI, and diminishing returns curves. - Collaborate with client stakeholders to gather requirements, present model outputs, and translate results into actionable media recommendations. - Support model validation, sensitivity analysis, and scenario planning to guide budget optimization decisions. - Work alongside managers and senior team members to contribute to project delivery, documentation, and client presentations. - Stay current with developments in MMM methodology, open-source tooling, and media measurement best practices. Professional & Technical Skills: - Must Have Skills: Working knowledge of Marketing Mix Modeling (MMM) concepts and media measurement techniques. - Hands-on experience with open-source MMM libraries: PyMC (Bayesian probabilistic modeling), Google Meridian, and/or Meta Robyn. - Proficiency in Python for data analysis, statistical modeling, and visualization. - Foundational understanding of Bayesian inference, regression techniques, and time-series analysis applied to marketing data. - Ability to communicate analytical findings clearly to both technical and non-technical audiences. - Good to Have: Experience with SQL, cloud platforms (GCP, AWS, Azure), and media/advertising data sources (e.g. Nielsen, Google Ads, Meta). - Familiarity with experiment design, A/B testing, or incrementality measurement is a plus. Additional Information: - The ideal candidate will have a strong quantitative background and some practical exposure to marketing analytics or media measurement, with a keen interest in growing expertise in open-source MMM frameworks. - This role is suited for professionals who have progressed beyond an analyst level and are ready to take greater ownership of model development and client-facing work, with a clear path toward a Manager designation. - This position is based at PAN India offices . About Our Company | Accenture (do not remove the hyperlink) Experience: Minimum 3 year(s) of experience is required Educational Qualification: B.Tech/BE/MBA in Statistics, Mathematics, Economics, Computer Science, or related quantitative field Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.