Forensic Analytics Summer Scholar: Data-Driven AI Insights

Relha LLC; Northern (KY); Hybrid; USD 55,000 - 69,000; Full time

Job summary

Deloitte is seeking a Forensic Analytics Summer Scholar to apply data analytics and ML to regulatory and investigative challenges. You will collaborate with attorneys, forensic accountants, and investigators on high-impact projects using tools like SQL, Python, and big data platforms.

Responsibilities include developing analytics strategies, building predictive models, and creating dashboards to visualize insights across global data sources.

Qualifications

• Must be enrolled in an accredited college/university and expected to graduate Spring/Summer 2028 in Technology, Data Analytics, CS, or related program.
• Strong academic track record (3.0 GPA).
• Ability to attend all in-person core programming sessions.
• Must be legally authorized to work in the United States without employer sponsorship.
• Ability to travel up to 25% depending on assignments.

Responsibilities

• Join a fast-growing Digital Forensics practice focused on AML analytics and Forensic Analytics.
• Apply data analytics, statistical methods, and predictive modeling to client engagements.
• Develop analytics plans and dashboards to support investigations and regulatory compliance.
• Analyze high-performance relational databases (SQL Server, Oracle) for insights.
• Query large datasets to identify patterns relevant to forensic investigations.
• Develop predictive analytics, text analytics, and cognitive computing solutions.
• Collaborate with multidisciplinary teams to deliver data-driven regulatory and fraud solutions.
• Contribute to practice technology initiatives and continuous learning.

Skills

Data analytics

Python

SQL

Excel

Big data tools

Reporting tools

Education

Bachelor's degree in progress

Tools

SQL Server

Oracle

Job description

Deloitte is seeking a Forensic Analytics Summer Scholar to apply data analytics and ML to regulatory and investigative challenges. You will collaborate with attorneys, forensic accountants, and investigators on high-impact projects using tools like SQL, Python, and big data platforms.

Responsibilities include developing analytics strategies, building predictive models, and creating dashboards to visualize insights across global data sources.