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Associate - Consumer Products (AI)

Associate - Consumer Products (AI)

ConfidentialDelhi
10 days ago
Job description

What you ll do

  • 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
  • Ability to derive actionable insights from voluminous quantitative and qualitative data / research
  • Provide day-to-day coaching to analysts on various aspects of projects, while also overseeing a workstream for 1-2 analysts
  • Gain proficiency in the key industry data sources KPIs along with developing expertise in analytical tools, models and languages
  • Gain proficiency in select consulting solutions (go-to-market strategy, revenue management, account management, brand strategy, etc) delivered to and relevant for CP industry clients, along with expertise in one or more key sub-sectors within CP, covering consumer preferences, market trends, competitor landscape, etc
  • 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
  • Collaborating with team members to make the solutions as client-ready as possible
  • (Good-to-have) Ability to deploy advanced analytics solutions on AWS / Azure

About you

  • 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 understanding of in 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
  • Skills Required

    Alteryx, Power Bi, Sql, R Programming, MLops, Artificial Intelligence, Consumer Products

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