Data Science Intern

About DNV

We are the independent expert in assurance and risk management. Driven by our purpose, to safeguard life, property, and the environment, we empower our customers and their stakeholders with facts and reliable insights so that critical decisions can be made with confidence.
As a trusted voice for many of the world’s most successful organizations, we use our knowledge to advance safety and performance, set industry benchmarks, and inspire and invent solutions to tackle global transformations.
We are more than 160 years old and are operating from more than 100 countries. To know more about us: please do visit

Role Description / Requirements

• Understand the project and the domain

• Develop and evaluate machine learning and AI-based solutions for business applications.

• Experiment with AI agents, agentic workflows, and intelligent automation solutions.

• Contribute to the development and deployment of AI-powered tools that support knowledge discovery, productivity, and decision-making.

• Evaluate model quality, reliability, and user experience using established AI evaluation methodologies.

• Collaborate with software engineers, product teams, and subject matter experts.

• Share progress, findings, and demonstrations with stakeholders.

• Demonstrate DNV core values of care, dare and share throughout

• Being part of a truly international company with more than 160 years of heritage in a transitioning industry.

• Hands-on experience working with modern AI technologies and cloud platforms.
• Working with great colleagues who value teamwork and team development.
• Building a professional network through experts within DNV.
• A chance for a full-time role after graduation, based on performance.

DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture, and we invite you to be part of this diversity.

To meet our requirements, you must be

• Currently pursuing B.E in Data Science, Computer Science, Artificial Intelligence, Machine Learning or a related field.
• Proficient in Python programming.
• Familiar with machine learning fundamentals and modern AI concepts.
• Comfortable working with data and solving analytical problems.
• Eager to learn new technologies, frameworks, and approaches.
• Nice to have: Experience or exposure to Cloud, AI agents and agentic workflows
• Key Competencies: Communication, Ownership, Adaptability, Teamwork