How do I apply for the AI Business Analyst Internship Program position at Accenture and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at Accenture paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the AI Business Analyst Internship Program role?

This position is a part-time, structured as a hybrid role, with an expected duration of 3 months.

What educational background or degree level is required for the AI Business Analyst Internship Program at Accenture?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does Accenture provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

AI Business Analyst Internship Program

Accenture

Found 2 months ago

Location

Warsaw, Poland

Duration (Months)

3 Months

Time

Part-time

Work Mode

Hybrid

Salary

Paid

Visa Help

Not disclosed

Last Verified

2 months ago

Education

Bachelor

Skills & Qualifications

Technical Skills

AI/LLM/GenAI models
Agentive AI concepts
BPMN
Microsoft Office Suite
Excel
PowerPoint
low-code/no-code platforms

Soft Skills

Storytelling
visualization skills
analytical skills
critical thinking skills
Documentation excellence
communicate with technical and business stakeholders
Agile/Scrum environments

Job Description

Analyzing business processes and identifying areas where AI can create real value. Collaborating with developers, architects, and other stakeholders to capture needs and translate them into clear requirements. Creating user stories, backlogs, and documentation to support the development of AI-driven solutions. Researching market trends, tools, and technologies in the AI space and assessing their business potential. Preparing presentations, reports, and one-pagers to support decision-making processes. Designing and optimizing workflows using low-code/no-code platforms. Supporting the project team in delivering end-to-end AI solutions — from analysis to implementation. Acting as a bridge between business and technology to ensure solutions are both feasible and impactful.

Requirements

Availability to work from the office in Warsaw, hybrid mode (2-3 days in the office)
Active student status
Experience in business analysis, including techniques such as BPMN for process modeling.
Storytelling and visualization skills — making findings understandable and compelling through clear narratives and visuals.
Strong analytical and critical thinking skills — ability to break down complex problems into actionable insights.
Documentation excellence — ability to produce high-quality specifications, user manuals, and process maps.
Command of Microsoft Office Suite, especially Excel and PowerPoint for analysis and presentations.
Practical knowledge of AI/LLM/GenAI models, their limitations, strengths, and appropriate use cases.
Familiarity with Agentive AI concepts.
Ability to clearly communicate with technical and business stakeholders.
Experience working in Agile/Scrum environments and contributing to product planning and estimation.

AI & Machine Learning

Applied Machine Learning

Languages

English

Nice to Haves

Hands-on experience with data analysis using SQL, Python, or BI tools (Power BI, Tableau).
A Python background that allows you to prototype or validate AI-driven solutions.
Design or graphic skills — the ability to create engaging visuals, mockups, or user-friendly documentation.
Familiarity with low-code/no-code platforms (e.g., Power Automate, Power Apps, Zapier) for process automation.
Contributions to internal knowledge bases, open-source projects, or tech/AI communities.
Understanding of business dynamics in Financial Services and ability to connect AI capabilities with industry needs.
Experience with process mining or advanced process optimization tools.pecifications, user manuals, and process maps.

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