The Fraud Analytics Intern will work under the Data Scientist. You will work on a project focused on developing new interdisciplinary fraud attributes using cloud technologies. This will involve exploring data sources across domains and engineering novel features to enhance fraud detection models.
Responsibilities:
- Integrate and analyze data from credit identity and behavioral domains to create new fraud features.
- Apply programming and analytical skills for data processing feature engineering and model building in cloud environments.
- Collaborate with data scientists and engineers to assess the effectiveness of newly developed attributes.
- Develop and evaluate predictive models using newly engineered attributes.
- Document methodologies and present findings to support knowledge sharing and strategic plans.
Qualifications :
- Currently enrolled in a minimum of a Bachelors degree program or above in Data Science Statistics Computer Science or related field
- Return to school in the Fall of 2026 to complete degree program
- Proficient in statistical analysis predictive modeling machine learning and working with large datasets
- Proficient in Python PySpark for data analysis and modeling
- Familiarity with cloud computing services (AWS)
- Knowledge in credit or fraud risk modeling
Additional Information :
Benefits/Perks:
- Fully remote
- Volunteer Time Off
- Great compensation
- Flexible work schedule
- Eligible for 401(k) participation in 90 days
At Experian our people and culture set us apart. Were deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance development wellness collaboration and recognition we focus on what truly matters. Our people-first approach has earned us global recognition: Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work 2025 in 26 countries and Glassdoor Best Places to Work 2024 among others.
Want to see what life at Experian is really like Explore Experian Life on social or visit our Careers Site.
Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range individual pay is determined by work location and additional factors such as job-related skills experience and education.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal state and local law including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
#LI-Remote #EarlyCareers
Remote Work :
Yes
Employment Type :
Intern
The Fraud Analytics Intern will work under the Data Scientist. You will work on a project focused on developing new interdisciplinary fraud attributes using cloud technologies. This will involve exploring data sources across domains and engineering novel features to enhance fraud detection models.Re...
The Fraud Analytics Intern will work under the Data Scientist. You will work on a project focused on developing new interdisciplinary fraud attributes using cloud technologies. This will involve exploring data sources across domains and engineering novel features to enhance fraud detection models.
Responsibilities:
- Integrate and analyze data from credit identity and behavioral domains to create new fraud features.
- Apply programming and analytical skills for data processing feature engineering and model building in cloud environments.
- Collaborate with data scientists and engineers to assess the effectiveness of newly developed attributes.
- Develop and evaluate predictive models using newly engineered attributes.
- Document methodologies and present findings to support knowledge sharing and strategic plans.
Qualifications :
- Currently enrolled in a minimum of a Bachelors degree program or above in Data Science Statistics Computer Science or related field
- Return to school in the Fall of 2026 to complete degree program
- Proficient in statistical analysis predictive modeling machine learning and working with large datasets
- Proficient in Python PySpark for data analysis and modeling
- Familiarity with cloud computing services (AWS)
- Knowledge in credit or fraud risk modeling
Additional Information :
Benefits/Perks:
- Fully remote
- Volunteer Time Off
- Great compensation
- Flexible work schedule
- Eligible for 401(k) participation in 90 days
At Experian our people and culture set us apart. Were deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance development wellness collaboration and recognition we focus on what truly matters. Our people-first approach has earned us global recognition: Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work 2025 in 26 countries and Glassdoor Best Places to Work 2024 among others.
Want to see what life at Experian is really like Explore Experian Life on social or visit our Careers Site.
Our compensation reflects the cost of labor across several U.S. geographic markets. The hourly pay range for this position is listed above. Within this range individual pay is determined by work location and additional factors such as job-related skills experience and education.
Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal state and local law including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.
#LI-Remote #EarlyCareers
Remote Work :
Yes
Employment Type :
Intern
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