Fraud Analytics Summer Intern - Remote
About the Role
Join Experian as a Fraud Analytics Summer Intern - Remote, where you'll have the opportunity to work under the guidance of experienced data scientists. This fully remote internship allows you to develop new interdisciplinary fraud attributes using cloud technologies, enhancing fraud detection models through data analysis. As a Fraud Analytics Intern, you will play a crucial role in integrating and analyzing data from various domains, collaborating with data scientists and engineers to document methodologies and present your findings.
What You'll Do
- Develop new fraud attributes using cloud technologies to improve detection models.
- Integrate and analyze data from various domains to enhance fraud analytics.
- Collaborate with data scientists and engineers to drive innovative solutions.
- Document methodologies and present findings to stakeholders.
- Utilize statistical analysis and predictive modeling techniques to inform decision-making.
Requirements
- Currently enrolled in a Bachelor's degree program or above.
- Proficient in statistical analysis and predictive modeling.
- Experience with Python and PySpark for data analysis.
- Familiarity with cloud computing services, particularly AWS.
- Knowledge in credit or fraud risk modeling is a plus.
- Strong analytical skills with experience handling large datasets.
- Excellent communication skills for effective knowledge sharing.
Nice to Have
- Previous internship experience in data analytics or related field.
- Understanding of machine learning concepts.
What We Offer
- Volunteer Time Off to support community engagement.
- Competitive compensation for your contributions.
- Flexible work schedule to accommodate your studies.
- Eligibility for 401(k) after 90 days of employment.
- Commitment to personal and professional development through training and mentorship.
This internship offers a unique opportunity to gain hands-on experience in fraud analytics while working remotely. You'll collaborate with experts and develop valuable skills.
Who Will Succeed Here
Proficient in Python and PySpark for data manipulation and analysis, with experience in building predictive models to detect fraud patterns.
Self-motivated and disciplined, thriving in a remote work environment by effectively managing time and collaborating asynchronously with data scientists.
Analytical mindset with a strong foundation in statistical analysis and data visualization, capable of interpreting complex datasets to inform fraud detection strategies.
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