Consumer Products Associate ( AI) Job in Delhi at Bain & Company

Bain & Company is hiring for the role of Consumer Product Associate (AI)

Responsibilities of the Candidate:

• Support the BCN case leads in problem-solving, hypothesis generation, research and insight generation and quality control
• Interpret, understand, and break down case requirements into actionable task items for the team-let
• Lead meaningful and focused meetings on owned project workstreams, deliver business insights effectively to the project leadership
• Be willing to take on challenging analytical problems and read research papers to come up with cutting-edge solutions from across disciplines to arrive at analytical solutions
• Be part of the thought leadership exercise to establish a blue-print for cloud-based deployment of any analytical and/or data-driven solution
• Ensure application performance and scale, maintaining high standards of code quality and thoughtful design
• Support the process of Translating business problems into ML problems and create ML solutions to produce desired customer business outcomes.
• Execute and deliver high quality outputs timely to internal and external stakeholders
• Provide day-to-day coaching to analysts on various aspects of projects, while also overseeing a workstream for 1-2 analysts

Requirements:

• Candidates should be graduates / post-graduates with strong academic record
• Work experience range in case highest qualification is undergraduate studies – 2-5 years of exposure to management consulting and data analytics relating to market / business / consumer insights, preferably in a global MNC environment within Consumer Products / Retail industry domains
• Work experience range in case highest qualification is postgraduate studies – 0-3 years of exposure to management consulting and data analytics relating to market/business/consumer insights, preferably in a global MNC environment within Consumer Products / Retail industry domains
• Demonstrated technical experience working with technologies related to industrialization of artificial intelligence, machine learning and/or deep learning. 
• Mathematics and statistics background is preferred in addition to experience building complex machine learning models
• Hands-on experience in building complex statistical models in some of the following:
• Supervised – Classification, Regression, Time Series forecasting
• Unsupervised – Clustering, Anomaly detection
• Prescriptive analytics – Linear and non-Linear optimization
• Domains/Sectors – Natural Language Processing, with experience in CPGs a big plus
• Strong communications skills, should be able to drive discussion/presentations with senior stakeholders and client maps
• Excellent implementation skills in Python and/or R, SQL and (preferably) PySpark with an understanding of analytical tools and techniques including / similar to Alteryx, Tableau, Power BI