Vista previa generada por IA
Data Scientist role at Bain & Company, New Delhi – develop advanced analytics and ML models for Consumer Products.
Collaborate with global teams, deliver AI solutions, and build reusable assets in a consulting environment.
Associate - Data Scientist
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.
About you
- / Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related quantitative fields.
- / 2–5 years of experience in data science, machine learning, or advanced analytics roles.
- / Strong proficiency in Python, with hands‑on experience in data manipulation and analysis libraries (Pandas, NumPy, etc.).
- / Experience with machine learning techniques such as regression, classification, clustering, and time series analysis.
- / Familiarity with statistical analysis, hypothesis testing, and experimental design.
- / Experience working with structured and unstructured datasets at scale using SQL and/or big data tools.
- / Exposure to ML frameworks and libraries (e.g., scikit‑learn, TensorFlow, PyTorch).
- / Ability to translate business problems into analytical approaches and derive actionable insights.
- / Strong data visualization and storytelling skills using tools such as Power BI, Tableau, or Python‑based libraries.
- / Prior exposure to consulting or working with cross‑functional stakeholders is a plus.
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
- / Analyze large and complex datasets to extract meaningful insights and support data‑driven decision‑making.
- / Develop, validate, and deploy machine learning and statistical models for business use cases.
- / Apply advanced analytics techniques such as segmentation, forecasting, optimization, and causal inference.
- / Collaborate with business stakeholders to understand problem statements and translate them into analytical solutions.
- / Work with data engineers to source, clean, and prepare data for modeling and analysis.
- / Create clear and compelling visualizations, dashboards, and presentations to communicate insights effectively.
- / Support development of scalable analytics solutions and contribution to model deployment in production environments.
- / Evaluate model performance and continuously improve models through experimentation and iteration.
- / Contribute to development of reusable analytics assets and Bain intellectual property.
- / Stay updated with latest advancements in data science and machine learning techniques.
What you’ll do
- / The AS is expected to have a knack for seeking out challenging problems and producing their own ideas, which they will be encouraged to brainstorm with their peers and managers. They should be willing to learn new techniques and be open to solving problems with an interdisciplinary approach. They must have excellent coding skills and should demonstrate a willingness to write modular, reusable, and functional code.