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

Bain & Company is hiring for the role of Associate (AI) - Consumer Products CoE!

Responsibilities of the Candidate:

• Lead meaningful and focused meetings on owned project workstreams, deliver business insights effectively to the project leadership
• 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
• Work on building and deploying advanced analytics solutions, including large-scale data processing, computationally intensive Optimization, Machine Learning, and Deep Learning models
• The focus will be on making the deployment sustainable and scalable, as per solution needs
• Work on parallel processing of ML solutions, in an optimal manner

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 the 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
• Well-versed in dealing with large datasets and using ML/DL libraries or packages
• Deep understanding of the Gen-AI tooling ecosystem including knowledge and experience of Kubernetes, MLOps, and AIOps tools (mandatory)
• Proficient with Excel, and PowerPoint
• (Good-to-have) Familiar with Cloud services (AWS) related to AI/ML