Data Science Intern

Posted Yesterday
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2 Locations
In-Office
54K-81K Annually
Internship
Aerospace
The Role
Develop data-mining and AI techniques to analyze aviation accident and incident reports from ASRS and NTSB databases. Build automated pipelines to extract safety events, causal factors, relationships, patterns, and trends. Translate findings into quantitative risk inputs, including event likelihoods and conditional probabilities, to support probabilistic risk assessment models and aviation safety decision-making.
Summary Generated by Built In

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.

Skills Required

  • Strong Python programming language skills
  • Background in Bayesian networks, graph structure, probability, and statistics
  • Experience with large datasets
  • Interest in researching and developing methods for data analysis and fault mode and effect analysis
  • Good software engineering skills, including unit testing, performance profiling, optimization, and documentation
  • Master's degree through early PhD academic standing

KBR, Inc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KBR, Inc and has not been reviewed or approved by KBR, Inc.

  • Healthcare Strength Health coverage includes medical, dental, and vision plans, supplemented by life insurance, mental wellness resources, and a resilience program. Multiple plan options and added wellbeing tools bolster the core offering.
  • Retirement Support Retirement programs feature a 401(k) with employer matching contributions alongside additional savings options. An Employee Stock Purchase Plan complements long‑term financial benefits.
  • Flexible Benefits Work-life programs provide flexible schedules with options for part-time, remote, and “superflex” arrangements coordinated with managers. These flexible arrangements help tailor benefits to role and personal needs.

KBR, Inc Insights

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The Company
Belfast
22,677 Employees

What We Do

KBR, Inc. is an American engineering, procurement, and construction company, formerly a subsidiary of Halliburton.

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