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