Entry Level Technology Development Program - Summer Analyst - Canada - NAELFY27
Accenture Global
Jumpstart your career with Accenture’s Technology Summer Analyst Internship!
Ready to make an impact? Join Accenture this summer and apply your skills to real-world challenges, helping top companies tackle their biggest problems with cutting-edge technologies.
This isn’t just an internship - it’s a chance to learn, grow, and explore your future in a supportive, innovative environment.
You'll gain hands-on experience, build valuable connections, and be part of a team that celebrates creativity, collaboration, and inclusion.
*Internship program starts in June and runs approximately 10 weeks
What Your Summer Role Could Look Like…
AI Native Summer Analyst
The AI Native Analyst is an early‑career, uncertified technical analyst role designed for individuals developing foundational skills in AI system design, LLM‑based architectures, and responsible AI. Hired with a clear hire-to-train model and developed into a client-facing, full-stack, AI-native engineer embedded directly in delivery teams. Key Responsibilities- Design, test, and iterate on prompts and system instructions to optimize AI's output quality across diverse client projects.
- Identify, prioritize, and document high-impact opportunities for AI integration across client projects (e.g., customer support, research, legal review, software development).
- Define and track KPIs to evaluate the effectiveness, accuracy, and ROI of AI-powered workflows, present insights and recommendations to clients.
- Collaborate with engineering teams to support API integrations, tool use implementations, and agentic workflow design using Anthropic's platform.
Security Summer Analyst
Support complex enterprise transformations to drive business outcomes via technology services. AI & Agentic enabled and utilized in daily work.- Strong ability to translate technical findings into business insights in written or verbal form
- Demonstrated communications skills in past work or leadership experience (internships, part-time jobs, project lead roles, leadership roles on campus)
- Demonstrated proficiencies in 2-3 programming skills (Java, C/++, Python)
- Skills & experiences in Artificial Intelligence design or data systems / network design
- Published work on GitHub or SourceForge and/or experience in a Hackathon
- Work or coursework experience with modern frameworks or emerging technologies
- Get hands-on experience in areas like OT/ICS security, penetration testing, and threat modeling to understand how cyber threats play out in different environments.
- Build your skills with leading scanning tools and stay up to date with the latest security technologies, monitoring security breaches and investigating cyberattacks.
- Work alongside other cybersecurity experts to analyze data, assess risks, and determine the impact and level of risk for clients.
- Build and implement security measures like firewalls and encryption.
- Currently pursuing a Bachelor's or Master’s degree in a Technology field (preferably Analytics, Computer Science, Cybersecurity, Data Science, Engineering, Information Systems, Information Technology, Mathematics, Quantitative Analytics, Software Engineering, Statistics, Technical Science) with an expected graduation date between December 2027 and August 2028
- Proficiency in programming language, such as R, Python, SQL, Java, C, or C++.
- Prior internship or work experience.
- Experience building and shipping working code through academic projects, internships, or personal development projects (e.g., Python, Java, TypeScript, or Node.js).
- Basic knowledge of web technologies including JavaScript, HTML, and CSS.
- Understanding of Agile development practices (e.g., sprint cycles, standups, iterative delivery).
- Ability to evaluate AI-generated outputs, including identifying errors, limitations, and hallucinations, and knowing when human verification is required.
- If applying for Montreal location, must be fluently bilingual in English and French
- If applying for Ottawa location, must be eligible for Security Clearance
- Experience as a AI Campus Ambassador or similar initiative advocating for AI use in a Campus Setting
- API and service-oriented architecture
- Databases (SQL or NoSQL)
- Cloud platforms (AWS, Azure, GCP)
- DevOps concepts and automation
- Frontend frameworks such as React or Angular
- Prompt engineering and iterative refinement of AI outputs
- Ability to evaluate, validate, and improve AI-generated responses
- Curiosity and learning agility
- Storytelling and clear communication
- Entrepreneurial mindset and ownership
- Adaptability and resilience
- Collaboration in diverse, global teams
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