Send Applications to MDL-intern-recruiting@mckinsey.com
Reports to: Team Leader – MDL Development – NYC
Location: New York, NY
ABOUT MCKINSEY DIGITAL LABS
McKinsey & Company is one of the world’s premiere management consulting firms with some 8,500 consultants across 89 locations in 50 countries. The Firm provides a full spectrum of consulting services primarily to large corporations but also to governments, international institutions, and non-profit organizations. These organizations include 100 of the top 150 global companies, touching every major industry.
McKinsey Digital Labs (MDL) combines unparalleled business knowledge with world-class user-centered design and agile software development to offer distinctive IT enablement services to clients. Our development teams are small, flexible and employ agile methodologies in a collaborative work environment.
READ MORE ABOUT THE ROLE
The Data Science Intern has a real passion finding business insights in huge datasets. Well-qualified candidates are excited by contributing to open source projects, by participating in technical communities or interest groups, or by writing or speaking in public about their technical ideas. A Data Scientist Intern at McKinsey will be an active learner and will enjoy tinkering with new open source libraries, using unfamiliar technologies and working with interesting data sets in their spare time.
APPLICATION INSTRUCTIONS
Please complete the exercise below and email your resume, cover letter, and exercise to mdl-intern-recruiting@mckinsey.com before Friday, February 20th. Candidates will be notified in March about interviews and intern offers.
Exercise: Given a dataset of transactions (100k rows) from a large retailer, find groups of items that are frequently purchased together. Each row is a single transaction with a ‘1’ denoting that item was in the transaction. Submit your findings along with any code/description of tools used to solve the problem. The dataset can be found at http://bit.ly/1sCk2vd
Technical skills and experience
• Strong experience using at least one high level programming language (e.g. Java, C, C#)
• Knowledge of Python (or other scripting language) and databases (Oracle, MySQL, MongoDB, etc.)
• Experience in any of the following is a plus: machine learning, pattern recognition, artificial intelligence, statistics
• Knowledge of the agile software development process is a plus Non-technical competencies
• Strong analytical and problem solving skills paired with the ability to develop creative and efficient solutions
• Excellent interpersonal, leadership, and communication skills
• Ability to work both independently and in various team settings
• Ability to work under pressure with a solid sense for setting priorities
• Customer focus and quality mindset
• Ability to manage own learning and contribute to functional knowledge building