About us

Bain & Company is a global management consulting that helps the worlds 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

Pyxis leverages a broad portfolio of 50+ alternative datasets to provide real-time market intelligence and customer insights through a unique business model that enables us to provide our clients with competitive intelligence unrivaled in the market today. We provide insights and data via custom one-time projects or ongoing subscriptions to data feeds and visualization tools. We also offer custom data and analytics projects to suit our clients needs. Pyxis can help teams answer core questions about market dynamics, products, customer behavior, and ad spending on Amazon with a focus on providing our data and insights to clients in the way that best suits their needs. Refer to: (link removed)

This position will be part of the Pyxis, an engine 2 company at Bain Primary responsibilities will include working closely with the Estimations, Data Operations, Engineering, and Commercial teams. This will include helping formulate and drive our evolving strategy on how to best assist our clients on large data/heavily analytic initiatives focused on data projections, estimations, and validation




About you


5-7 years of experience with data science and statistical analysis in a business, marketing science or social science environment

A masters in computer science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research, or related field is preferred bachelors degree is required

Proficiency in SQL is required and familiarity with NoSQL data store is a plus

Proficiency with data wrangling, visualization, and modeling in either R or Python is required

Experience working with convenience panel and other types of alternative data is a strong positive

Experience working with financial statements and basic knowledge of accounting and finance concepts is a plus

Experience with dashboards, business intelligence tools, and visualization solutions (e g Tableau, Qlik, Shiny, Dash) is desired

Experience with Microsoft Office suite (Excel, PowerPoint, Teams) is preferred

Experience with GitHub, Docker, and agile tools (like Jira, Confluence and Miro) is a plus

Ability to explain and discuss mathematical and machine learning technicalities to a business audience





What youll do


Development and implementation of data science methods such as forecasting, regression, anomaly detection, clustering, and other machine learning techniques as part of estimations toolkit where appropriate

Research, suggest and implement best practices for management of market measurement data, projections, and analytics from Pyxis vast array of alternative data sources and supplemental datasets

Work with Estimations & Methods and Data Operations teams to ensure data delivered to clients is of high quality and ready for analysis

Contribute to internal and external applications by developing analytical services that enable scalable data processes and democratize data techniques across team members

Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments

Assist with creation and documentation of standard operating procedures for repeated data processes, as well as knowledge base of data methods

Research and test various statistical methods and analytical techniques to improve panel projections in a scalable manner

Collaborate with engineering team members on design requirements to turn PoC methods into repeatable data pipelines; work with commercial team to translate statistical methods into client-ready language and materials





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 Glassdoors 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.