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Data Science Intern

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Onsite

Data Science Intern

KBR, Inc.

Data Science Intern

Skills

Data MiningPythonData ScienceData AnalysisMachine LearningAIWorkday

1 month ago

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Important information


Contract type:

Part time

Salary:

$53,800 – $80,700 / year

Location:

Chicago, IL, USA

Work mode:

Onsite

Published on:

12 September 2026

What they need


Title:

Data Science Intern

BELONG. CONNECT. GROW. with KBR.

Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers. But we all share one goal: to improve the world responsibly and safely.

Position Summary

Intern positions are available at NASA Ames Research Center to participate in the development of an risk assessment framework using aviation safety data. Time commitment is negotiable. Master’s through early PhD.

The opportunity is focused on developing data-mining and artificial intelligence (AI) techniques to extract and analyze safety-critical information from aviation accident and incident reports. The project will leverage existing machine learning tools to process reports from the Aviation Safety Reporting System (ASRS) and National Transportation Safety Board (NTSB) databases and identify safety events, contributing factors, causal relationships, and recurring patterns. The intern will support the development of an automated data-mining pipeline for extracting and organizing this information and will analyze the resulting data to identify factor combinations, event frequencies, and trends across aviation safety reports. The extracted information will then be translated into quantitative risk inputs, including event likelihoods and conditional probabilities, to support the development of data-driven probabilistic risk assessment (PRA) models. The resulting methods and tools are intended to improve the use of historical aviation safety data for identifying emerging risks and supporting quantitative aviation safety assessment and decision-making.

Required:

  • Strong Python programming language skills
  • Background in Bayesian networks, graph structure, probability and statistics.

Desired:

  • Experience with large datasets
  • Interest in researching and developing methods for data analysis, fault mode and effect analysis (FMEA).
  • Good software engineering skills (design of unit tests, performance profiling and optimization, documentation, etc)

Basic Compensation:

Jobs on this contract range from*$53,800.00 - $80,700.00 .*  Pay range is specific to the Chicago, IL  area.

The offered rate will be based on the position, contract affordability, the selected candidate’s working location, knowledge, skills, abilities, experience, and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.

KBR Benefits:​

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule.  We support career advancement through professional training and development.​

Click here to learn more:  KBR Benefits | KBR

#LI-EM2

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

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