Data Science Intern — Summer Games Challenge

Bah; El Segundo (CA); On-site; USD 62,000 - 141,000; Full time

Job summary

Booz Allen is seeking a University, 2027 Summer Games Data Scientist Intern in El Segundo, CA to work on real-world data challenges with mentorship from senior leaders. You will explore, clean, analyze, and visualize data, while learning Booz Allen’s engagement models and product usage.

Collaboration and clear communication are essential for the team-driven challenges. Ideal candidates are pursuing a STEM bachelor’s degree with experience in data analysis and programming, and must be able to

Qualifications

• 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 Summer 2028 or Summer 2029.

Responsibilities

• Contribute to data-driven projects within a startup-like internship environment.
• Collaborate with teammates to solve multidimensional problems using Booz Allen’s tools and engagement models.
• Assist in documenting designs and producing technical artifacts for project reviews.

Skills

Data exploration

Data cleaning

Data analysis

Data visualization

Data mining

Programming languages

Structured data sources

Secret clearance eligibility

Bachelor's degree by 2028/2029

Education

Bachelor’s degree in STEM

Job description

Booz Allen is seeking a University, 2027 Summer Games Data Scientist Intern in El Segundo, CA to work on real-world data challenges with mentorship from senior leaders. You will explore, clean, analyze, and visualize data, while learning Booz Allen’s engagement models and product usage.

Collaboration and clear communication are essential for the team-driven challenges. Ideal candidates are pursuing a STEM bachelor’s degree with experience in data analysis and programming, and must be able to