M&E Cum Accounts Assistant
October 6, 2026
AFRY has announced a part-time Studentmedarbeider – AI og digital utvikling opportunity in Oslo, Norway, for students interested in Artificial Intelligence, Machine Learning, Data Analytics, Software Development and Digital Transformation.
The position offers students the opportunity to work on real-world AI and automation projects within a major European engineering, design, digitalization and consulting organization.
The role is based at AFRY's Lilleaker office in Oslo and involves approximately 15 hours per week, with flexible working hours designed to fit alongside university studies. The position is expected to continue until 30 June 2027, with the possibility of further collaboration.
| Particular | Details |
|---|---|
| Company | AFRY |
| Position | Student Employee – AI & Digital Development |
| Job Type | Part-Time Student Job |
| Location | Oslo, Norway |
| Office | AFRY Lilleaker |
| Work Arrangement | On-site |
| Working Hours | Approximately 15 hours/week |
| Duration | Until 30 June 2027 |
| Start | As soon as possible |
| Fields | AI, Computer Science, Data Technology, Machine Learning, Data Analytics |
| Key Skills | Python, Power BI, Azure, AI |
| Experience | Practical AI/software experience preferred |
| Application | CV + Transcript + Short Cover Letter |
AFRY is a European engineering, design, digitalization and consulting company with more than 19,000 employees internationally.
The company is expanding its use of Artificial Intelligence and is looking for a technically interested and proactive student who can help develop and pilot AI-based solutions for internal business processes.
The student will work at the intersection of:
Artificial Intelligence
Data
Business processes
Software development
Digital transformation
Business development
The work will support areas such as market analysis, sales, proposal development, competence and CV management, knowledge sharing and management information.
Initially, the student will contribute to the development of AI-powered and automated solutions for market analysis.
The role can involve the complete development lifecycle, including:
Gathering insights and requirements.
Market and data analysis.
Developing digital solutions.
Building AI-based functionality.
Testing solutions with smaller user groups.
Evaluating results.
Improving AI solutions based on feedback.
Assessing whether successful solutions can be scaled across AFRY Norway.
Documenting technical work and findings.
Sharing knowledge with other team members.
The exact responsibilities will be adapted according to the student's experience and technical skills.
The opportunity is particularly suitable for students studying a technical discipline.
Candidates may be studying:
Computer Science
Information Technology
Data Technology
Artificial Intelligence
Machine Learning
Data Analytics
Software Engineering
Another relevant technical field
Applicants should have progressed sufficiently in their studies to have developed practical technical skills through university coursework, personal projects, summer jobs or other experience.
AFRY is particularly interested in students who have experience with several of the following technologies and concepts.
Experience with:
Generative AI
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
AI assistants
AI agents
Experience with:
Python programming
API integrations
Document processing
Metadata management
Knowledge of:
Semantic search
Vector search
Information retrieval
Search-based AI systems
Experience or interest in:
AI solution testing
Evaluation methodologies
Source attribution
AI response quality
Traceability
Reliable AI outputs
Candidates do not need to know every technology listed. AFRY emphasizes a strong technical foundation, practical experimentation and willingness to learn.
Experience with the following technologies can be an advantage:
Azure OpenAI
Azure AI Search
Azure AI Foundry
Microsoft Copilot Studio
Power Automate
Microsoft Fabric
Power BI
These technologies are listed as advantages rather than mandatory requirements.
AFRY is looking for students who are comfortable working across both technology and business.
The ideal candidate should be:
Curious about technology and business.
Proactive and self-motivated.
Structured in their work.
Comfortable working iteratively.
Interested in turning business needs into practical solutions.
Comfortable working when requirements are not completely defined.
A good communicator.
Able to collaborate with technical specialists and business professionals.
Focused on quality and security.
Interested in reliable and verifiable AI results.
Comfortable documenting work and sharing knowledge.
The position provides practical exposure to how generative AI, data and search technologies can be applied inside a large knowledge-based organization.
Students can gain experience in:
Real-world AI development.
AI pilots and experimentation.
Business process automation.
Data analysis.
Search technology.
Software development.
Business requirements.
AI evaluation.
Information management.
Security considerations.
Cross-functional teamwork.
The role also provides an opportunity to contribute to AFRY Norway's growing AI initiatives.
The position is approximately 15 hours per week.
AFRY Lilleaker Office, Oslo, Norway
The working schedule is flexible and can be adjusted around the student's academic timetable.
The number of hours may vary during certain periods based on agreement.
The company would like the selected student to start as soon as possible.
The position is expected to continue until:
There may be an opportunity for further collaboration after the stated period, depending on circumstances and mutual interest.
Interested candidates should prepare:
Updated CV
Academic transcript
Short cover letter
The cover letter should explain:
Why you are interested in the position.
What you can contribute.
Which relevant technologies you have worked with.
Relevant AI/software projects.
Your motivation for working with AI and digital development.
Candidates should submit their application through the official AFRY recruitment process.
Before applying, students should make sure their CV clearly highlights:
Current degree and university.
Relevant technical coursework.
AI/ML projects.
Python experience.
Software development experience.
Generative AI or LLM projects.
API development/integration.
Data analytics experience.
Power BI/Azure experience, if applicable.
Personal or academic projects demonstrating practical skills.
| Feature | Details |
|---|---|
| Company | AFRY |
| Position | Student Employee – AI & Digital Development |
| Location | Oslo, Norway |
| Office | Lilleaker |
| Work Type | Part-time |
| Hours | Approx. 15/week |
| Duration | Until 30 June 2027 |
| Start | As soon as possible |
| Degree | Relevant technical studies |
| Key Technologies | Python, Azure, Power BI |
| AI Areas | LLM, RAG, AI Agents, Semantic Search |
| Application Documents | CV, Transcript, Cover Letter |
It is a part-time student position in AI and digital development at AFRY's Lilleaker office in Oslo.
The position is approximately 15 hours per week.
The position is based at AFRY's Lilleaker office in Oslo, Norway.
Students studying Computer Science, Data Technology, AI, Machine Learning, Data Analytics or another relevant technical discipline are encouraged to apply.
Python is one of the key technical skills mentioned for the role. Practical experience with Python and API integrations can strengthen an application.
No. Experience with Azure OpenAI, Azure AI Search, Azure AI Foundry and related Microsoft technologies is listed as an advantage, not an absolute requirement.
Yes. Experience with LLMs, RAG, AI assistants, AI agents, semantic search and AI evaluation is particularly relevant.
The position is expected to continue until 30 June 2027, with possible further collaboration.
Candidates should submit a CV, academic transcript and short cover letter.
The AFRY Student Employee – AI & Digital Development opportunity is a strong option for students who want practical experience in Generative AI, Python, data analytics, automation and digital transformation.
The role provides the chance to work on a real AI pilot, collaborate with architects, developers and business professionals, and gain experience in turning emerging AI technologies into practical business solutions.
With approximately 15 hours of flexible work per week and a position running until 30 June 2027, the opportunity can be particularly attractive to students looking to build an AI-focused professional portfolio alongside their studies.
October 6, 2026
October 6, 2026
October 6, 2026
October 6, 2026
October 6, 2026
October 6, 2026
October 6, 2026
October 6, 2026
October 6, 2026
October 6, 2026
No comments yet. Be the first to comment.