Booz Allen Hamilton is seeking students for its Summer Games internship program. The Data Scientist Intern will collaborate on a challenge project, develop innovative solutions to complex customer problems, apply data science techniques, and present results to senior leadership.
Develop a breakthrough idea or solution for one of our customer's most pressing, complex, and multidimensional problems while developing valuable technical skills
Work on a different challenge project as part of a team in a real-world startup accelerator environment
Receive mentorship from senior leaders, solve problems using Booz Allen’s products and unique engagement models, and leverage the power of collaboration in a team environment
Present the final Challenge Cup competition project to senior leadership
Qualification
Required
Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
Experience with statistical and general-purpose programming languages for data analysis
Knowledge of structured and unstructured data sources
Ability to obtain a Secret clearance
Scheduled to obtain a Bachelor's degree in a Technology, Engineering, or Mathematics field by Winter 2027 or 2028, or Spring 2027 or 2028
Preferred
Ability to produce technical documentation and create design artifacts
Possession of excellent critical thinking and analytical skills
Possession of excellent verbal and written communication skills
Benefits
Health benefits
Life benefits
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards for exceptional performance and superior demonstration of Booz Allen’s values
Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs; individuals who do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering.