(SPRING) Data Scientist Intern - PhD
@ IntegraFEC

Austin, Texas, United States
On Site
Posted 3 days ago

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XXXXXXXX XXXXXXXXXXX XXXXXXXXX*****@integrafec.com
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Job Details

About IntegraFEC

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience to translate academic interests into real-world applications. The role focuses on identifying, investigating, and analyzing fraud in domains such as finance, healthcare, and cryptocurrencies.

Position Overview

This (SPRING) Data Scientist Intern - PhD role involves coding software to automate processes, scraping and collecting large datasets, and performing advanced econometric analysis. You will have flexibility in programming languages with heavy use of R, Python, and SQL.

  • Exposure to team and individual projects
  • Work with industry experts and economic forensic analytics
  • Hands-on experience with fraud detection and econometrics

Job Qualifications

  • Knowledge of R, Python, SQL or similar scripting languages
  • Strong proficiency in Microsoft Excel
  • High attention to detail with a big-picture mindset
  • Ability to work well in teams and adhere to ethical standards
  • Applicants must have U.S. work authorization (no Visa sponsorship)

Internship Benefits

Interns receive exposure to technical fields including economics, statistics, finance, engineering, computer science, and physics while working adjacent to the UT Austin campus.

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How to Get Hired at IntegraFEC

🎯 Tips for Getting Hired

  • Research IntegraFEC's culture: Explore mission, values, and recent projects.
  • Customize your resume: Highlight data analytics and technical skills.
  • Prepare for technical interviews: Practice coding and econometric analysis.
  • Network strategically: Leverage LinkedIn and academic connections.

📝 Interview Preparation Advice

Technical Preparation

Review R, Python, SQL basics.
Practice data scraping techniques.
Study econometric modeling methods.
Brush up Excel data manipulation skills.

Behavioral Questions

Describe a team project scenario.
Explain how you handle tight deadlines.
Discuss experiences solving complex problems.
Demonstrate ethical decision-making instances.

Frequently Asked Questions