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As a Forensic Analytics Summer Scholar, you’ll use your technology and data analytics skills to help clients address business challenges related to regulatory, risk, and forensic issues. You’ll develop data analysis plans, create analytics strategies, assess models, and design solutions. By analyzing risk through data and technology, you’ll help build a more trustworthy and reliable world.

Recruiting for this role ends on 11/01/2026.

Work You’ll Do

As aForensic AnalyticsSummer Scholar, you will:

• Join a fast-growing practice focused on Digital Forensics, Anti-Money Laundering Analytics, and Forensic Analytics, where you’ll collaborate with attorneys, forensic accountants, and investigators on a wide range of complex and high-impact projects

• Leverage data, statistical and quantitative analysis, rules-based methods, and predictive modeling to deliver insights into forensic challenges, including supporting engagements such as investigations, anti-corruption compliance, restructuring, safety, quality, and enterprise fraud management

• Apply advanced analytics, AI, GenAI, and machine learning to help clients stay at the cutting edge and explain past events while supporting informed decision-making for the future

• Analyze and manage high-performance relational databases (e.g., SQL Server, Oracle, Microsoft Access, OLAP, and proprietary platforms) to uncover critical insights

• Query and mine large datasets to identify transaction patterns, examine financial data, and filter for targeted information relevant to forensic investigations and compliance

• Design and develop predictive analytics models, text analytics solutions, and cognitive computing frameworks to detect anomalies and hidden patterns

• Build and maintain interactive dashboards to visualize and integrate data from across the globe, employing specialized competencies such as advanced analytics, visualization, and geospatial techniques

• Engage with multidisciplinary teams of data analytics experts, software engineers, and business analysts to develop data-driven solutions for regulatory risk, anti-money laundering, and fraud management using both traditional and emerging technologies

• Contribute to practice technology initiatives and investments, demonstrating adaptability, leadership, and a continuous learning mindset in an environment that fosters outstanding growth and advancement

Regardless of type of work, your work may require:

• Strong verbal and written communication skills for effective client and team interactions

• Ability to work independently and manage multiple responsibilities in a fast-paced environment

• Problem-solving and critical thinking skills to drive innovation and operational improvements

• Collaborative mindset with the ability to communicate across Deloitte teams and client stakeholders

• Quick to learn and apply new concepts, frameworks, and emerging technologies

• Proactive in managing personal and professional growth and expanding consulting skills

• Solid understanding of Windows-based systems and proficiency with Microsoft Excel, Word, and PowerPoint

The Team

Our Deloitte team plays a major role in directly embedding technology insights into our clients’ organizational goals. At Deloitte, our consultants create sharply-focused solutions within an organization’s operating model, accounting for its people, intellectual capital, technology, and processes. Engagement teams at Deloitte drive value for our clients but also understand the importance of developing resources and contributing to the communities in which we work. We make it our business to take issue to impact, both within and beyond a client setting.

Required Qualifications

• Must be currently enrolled in an accredited college or university and expected to graduate by Spring/Summer 2028 pursuing a bachelor’s degree or higher inTechnology, Data Analytics, Computer Science, and Computer Engineeringor a related/equivalent program

• Strong academic track record (3.0 cumulative GPA required)

• Ability to attend all in person core programming sessions

• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

• Ability to travel up to 25%, on average, based on the work you do and the clients and industries/sectors you serve

• Candidates must be at least 18 years of age at time of employment

• You must reside within a commutable distance of your assigned office with the ability to commute daily, if required

Preferred Qualifications

• Strong academic track record (3.2 cumulative GPA preferred)

• Relevant work experience or work experience in a professional environment (e.g. internships, summer positions, school jobs)

• Familiarity with a variety of analytics tools and programming languages such as, but not limited to:

• Microsoft SQL Server, Oracle

• Predictive Analytics/Data Mining: (e.g. Python)

• Data Visualization Tools (e.g. QlikView, Tableau, Power Bi)

• Big Data Tools (e.g. Hadoop, Hive, Pig, Impala, Mahout)

• Reporting Tools (e.g. Business Objects, Reporting Services)

• Machine Learning / GenAI

• Cloud Computing (e.g. AWS, Azure, etc.)

This is an entry-level opportunity intended for candidates interested in beginning or building a career in this field. We welcome applicants from a range of educational and professional backgrounds who meet the qualifications for the role. For roles that require a year or more of work experience, please review the experienced jobs within our careers site.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate is $45/hour.