Risk Services (Non-CPA) - Forensic Technology Intern/Co-op - Toronto - Winter, Summer or Fall 2027

KPMG Canada•Toronto, ON

5d•Onsite

About The Position

Our Toronto office is seeking undergraduate students to join the team as a Co-op or Summer Intern in Winter 2027, Summer 2027 or Fall 2027 as part of our Risk Services, Forensic Technology practice. When applying, please select either "Summer Internship" or "Co-op" as your preferred position and indicate Winter 2027, Summer 2027, or Fall 2027 as your preferred start date for potential employment. Our Forensic Technology Team: Forensic investigations, disputes and regulatory compliance of today demand a practice that's invested in tomorrow. For KPMG, that means making significant investments in a Canada-wide Forensic and Dispute Advisory team driven by cutting-edge technologies, battle-tested partners, and foresight for identifying what's around the corner. With a truly integrated network of forensic and investigative professionals, you'll be part of a team that can ensure the best partners and resources are deployed for the job regardless of where our clients call home. KPMG’s Forensic Technology team is a fast-growing practice that has received significant investment and is positioned as a key driver of the firm’s growth over the next five years. Joining this team provides an excellent opportunity to gain hands-on experience in digital investigations, eDiscovery, and data analysis, while learning from experienced forensics professionals in a collaborative, high-performing environment. As part of the Forensics Technology team, you’ll assist in the identification, acquisition, processing, and analysis of digital evidence across a wide range of matters. This may include supporting the execution of court orders, assisting with data collections and processing for eDiscovery projects, analyzing digital media, and helping prepare documentation and reports used in investigations and legal proceedings. You’ll work closely with professionals in both the eDIscovery and cybersecurity practices, learning how to apply a structured, defensible approach to handling digital evidence.

Requirements

Currently completing a Bachelor’s degree/ Diploma in Computer Science, IT, or related field.
Strong interest in digital forensics, eDiscovery, or cybersecurity investigations, with relevant coursework or practical experience.
Solid understanding of operation system structures and artifacts (i.e. Windows, macOS, or Linux).
Working knowledge of file systems (i.e. NTFS, FAT, HFS+) and common data storage principles.
Experience with scripting (i.e. Python) or automation through coursework or projects.
Familiarity with at least one forensic tool (i.e. EnCase, Magnet Axiom, X-Ways, FTK, Cellebrite, or IEF).
Strong analytical thinking, attention to detail, and ability to document technical findings clearly and accurately.
Hands-on experience from digital forensics or incident response labs, class projects, or prior co-op placements.
Exposure to eDiscovery or data processing platforms such as Relativity and/or NUIX
Understanding of data preservation, evidence handling, and forensic acquisition techniques.
Knowledge of databases or structured data formats (i.e. SQL, JSON, XML).
You have a strong academic record and demonstrate intellectual curiosity through coursework, projects, or extracurricular involvement.
You build collaborative relationships: You establish strong relationships internally and externally and contribute positively to team-based environments. You respect diverse perspectives and work effectively across functions.
You develop and motivate others: You engage peers with enthusiasm, contribute ideas confidently, and create a positive team dynamic that supports shared success.
You take opportunities to learn and adapt: You actively seek feedback, reflect on experiences, and embrace new tools, technologies, and regulatory developments as part of your professional growth.
You drive quality: You deliver accurate, thoughtful, and well-documented work, demonstrating attention to detail and a commitment to excellence in all tasks.
You foster innovation: You are open to experimentation and continuous improvement, showing curiosity about how analytics, automation, and emerging technologies can enhance financial crime risk management.
All considered applicants must have or will obtain legal authorization to work in Canada by the start date of employment.

Nice To Haves

Familiarity with AI‑enabled tools or analytics platforms is considered an asset, along with comfort in leveraging AI to enhance efficiency, generate insights, or support problem‑solving, and a demonstrated interest in how these technologies can be applied in professional settings.