Bain & Company is hiring for an Associate

Company description:

Bain & Company is a global management consulting firm dedicated to helping the world's most ambitious change-makers shape the future. With offices in 65 locations across 40 countries, we collaborate with clients to achieve extraordinary results and redefine industries. Since our establishment in 1973, we've prioritized client success and maintained the highest level of advocacy in the industry.

Profile overview:

The BCN Labs, a Center of Excellence within Bain, operates as an R&D boutique startup, delivering data-driven solutions across various sectors. We collaborate with other CoEs and Practices within Bain, working as business thought partners to develop analytical techniques and algorithms for world-class solutions. As an Associate in BCN Labs, you'll implement advanced analytics, explore mathematical depths, and deliver client solutions with oversight from Project Leaders. You'll brainstorm models, experiment with technologies, and translate analytical insights into actionable business impacts.

Qualifications

Education: Bachelor's/Master's degree in Analytics-related fields such as Statistics, Computer Science, or Engineering.
Experience: Minimum 2 years for Bachelor's, internship experience required for Master's.
Skills: Proficiency in Python, R, and SQL. Exposure to statistical learning models. Familiarity with cloud platforms like AWS or Azure is advantageous.
Attributes: Strong problem-solving abilities, interdisciplinary approach, excellent coding skills, and structured communication.

Additional info:

Joining Bain means becoming part of a diverse, inclusive, and collaborative environment recognized as one of the world's best places to work. Our commitment to diversity and inclusion has earned us top rankings on Glassdoor's Best Places to Work list for 12 consecutive years. We value exceptional talents and provide opportunities for personal and professional growth. As part of BCN Labs, you'll work in a supportive team-oriented structure, contributing to data-driven projects and making a significant impact in various industries.