Data Science Intern

When you think of InComm Payments, think of Innovative Payments Technology. We were founded over 30 years ago and continue to be a pioneer in the payment (FinTech) industry. Since our inception, we have grown to be a team of over 3,000 employees in 35 countries around the world. We own over 400 global technical patents and a network that includes over 525,000 points of retail distribution that points to our industry expertise.
InComm Payments is highly focused on our people and their growth, and we work hard to make a career at InComm Payments meaningful and rewarding. We value innovation, quality, passion, integrity and responsibility in all that we do, and we are looking for great people to join our team as we move forward towards a very bright future. We anticipate developing future leaders for our teams in Brazil
You can learn more about InComm Payments by visiting our Website or connecting with us on LinkedIn , YouTube , Twitter , Facebook , or Instagram .
About This Opportunity:
As a Fraud Business Analyst Intern, you will play a key role in strengthening our fraud defenses by supporting process audits, rule tuning, and data-driven investigations. This role focuses on validating the effectiveness of existing Robotic Process Automations (RPAs), Accertify rules, and anomaly detection signals. You will work closely with Fraud Technology, Decision Sciences, and Anomaly Detection teams to review logic, test controls, and recommend improvements.
This position is ideal for a detail-oriented individual with strong analytical skills and a passion for fraud prevention and operational risk reduction.
Why Join InComm?
Paid Internship
30-hour work week, Monday – Friday
Real-world experience with a leading global company
Mentorship, professional development, and networking opportunities
Discover highlights from our internship program on Instagram — follow us @InCommInterns
Responsibilities:
Assist in auditing and validating existing fraud rules configured in the Accertify platform
Support quality assurance reviews of RPAs related to fraud monitoring and decision-making
Collaborate with the Anomaly Detection team to analyze triggers and evaluate false positives/negatives
Help design and test Splunk dashboards and data visualizations for fraud alerts and system monitoring
Document and report gaps or inefficiencies in current detection logic or process automations
Perform basic root cause analysis of anomalous behavior and support process remediation
Participate in fraud case reviews, helping to translate operational observations into structured findings
Qualifications:
Pursuing a degree in Business Analytics, Finance, Information Systems, Criminal Justice, or a related discipline within your penultimate or final year of study.
Above average academic track record
Strong attention to detail and a process-oriented mindset
Exposure to data analysis tools (e.g., Excel, SQL, Python) and visualization platforms (e.g., Power BI, Splunk)
Interest in fraud prevention, financial crimes, or enterprise automation
Ability to communicate clearly and professionally, both in writing and verbally
Proficiency with the English language
Must be self-motivated, ability to prioritize effectively and not shy away to seek guidance when you are blocked on a task
Ability to work with large teams; Willing and capable of learning new tools and technologies
InComm provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran's status, age, disability status, genetics or any other category protected by federal, state, or local law.