About us
Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future. Across 65 offices in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition and redefine industries. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
In 2004, the firm established its presence in the Indian market by opening the Bain Capability Center (BCC) in New Delhi. The BCC is now known as BCN (Bain Capability Network) with its nodes across various geographies. BCN is an integral and largest unit of (ECD) Expert Client Delivery. ECD plays a critical role as it adds value to Bain's case teams globally by supporting them with analytics and research solutioning across all industries, specific domains for corporate cases, client development, private equity diligence or Bain intellectual property. The BCN comprises of Consulting Services, Knowledge Services and Shared Services.
Who you will work with
The Consumer Products Center of Expertise collaborates with Bain’s global Consumer Products Practice leadership, client-facing Bain leadership and teams, and with end clients on development and delivery of Bain’s proprietary CP products and solutions. These solutions aim to answer strategic questions of Bain’s CP clients relating to brand strategy (consumer needs, assortment, pricing, distribution), revenue growth management (pricing strategy, promotions, profit pools, trade terms), negotiation strategy with key retailers, optimization of COGS etc.
You will work as part of the team in CP CoE comprising of a mix of Director, Managers, Projects Leads, Associates and Analysts working to implement cloud-based end-to-end advanced analytics solutions. Delivery models on projects vary from working as part of a CP Center of Expertise, broader global Bain case team within the CP ringfence, or within other industry CoEs such as FS / Retail / TMT / Energy / CME / etc with BCN on need basis
What you’ll do
Support the BCN case leads in problem solving, hypothesis generation, research and insight generation and quality controlInterpret, understand, and break down case requirements into actionable task items for the team-letLead meaningful and focused meetings on owned project workstreams, deliver business insights effectively to the project leadershipBe 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 solutionsBe part of the thought leadership exercise to establish a blue-print for cloud-based deployment of any analytical and/or data-driven solutionEnsure application performance and scale, maintaining high standards of code quality and thoughtful designSupport 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 stakeholdersAbility to derive actionable insights from voluminous quantitative and qualitative data/researchProvide day-to-day coaching to analysts on various aspects of projects, while also overseeing a workstream for 1-2 analystsGain proficiency in the key industry data sources KPIs along with developing expertise in analytical tools, models and languagesGain 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 modelsThe focus will be on making the deployment sustainable and scalable, as per solution needsWork on parallel processing of ML solutions, in an optimal mannerCollaborating 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 recordWork 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 domainsWork 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 domainsDemonstrated 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 modelsHands-on experience in building complex statistical models in some of the following:Supervised – Classification, Regression, Time Series forecastingUnsupervised – Clustering, Anomaly detectionPrescriptive analytics – Linear and non-Linear optimizationDomains/Sectors – Natural Language Processing, with experience in CPGs a big plusStrong communications skills, should be able to drive discussion/presentations with senior stakeholders and client mapsExcellent 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 BIWell versed in dealing with large datasets and using ML/DL libraries or packagesDeep 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
What makes us a great place to work
We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility. We are currently ranked the #1 consulting firm on Glassdoor’s Best Places to Work list, and we have maintained a spot in the top four on Glassdoor's list for the last 12 years. We believe that diversity, inclusion and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally. We are publicly recognized by external parties such as Fortune, Vault, Mogul, Working Mother, Glassdoor and the Human Rights Campaign for being a great place to work for diversity and inclusion, women, LGBTQ and parents.