Graduate Maritime AI Data Scientist

DNV; Oslo; On-site; NOK 420,000 - 540,000; Full time

Benefits offered by this job

6 weeks annual vacation

Subsidised canteen

Competitive pension

Insurance

Parental leave agreement

Global profit share scheme

Flexible working hours

CONNECT social network

Gym facilities

Kindergarten on premises

Free parking

Shuttle buses

Job summary

DNV is seeking graduates to join our Maritime Smart Use of Data team in August 2027. You will be part of a large, international data science group and learn from experienced data scientists who will help you succeed.

You will experience a strong company culture, social activities, and collaborate with domain experts to deliver AI-driven improvements across our processes and tools. Solutions are Python-based and deployed on a container-based cloud AI platform.

Qualifications

• Graduate eager to contribute to AI transformation and data science projects.
• Proactive attitude with strong collaboration and problem-solving skills.
• Good communication in English and willingness to learn new AI tech.
• Strong practical ML/AI skills and solid Python programming ability.

Responsibilities

• Join a large international data science team and learn from experienced data scientists.
• Collaborate with domain experts to deliver AI-enabled solutions.
• Work on AI augmentation and automation across DNV processes and tools.
• Contribute to projects using Python and container-based cloud platforms.

Skills

AI transformation

Proactive mindset

English communication

AI technologies awareness

ML & AI skills

Python programming

Job description

DNV is seeking graduates to join our Maritime Smart Use of Data team in August 2027. You will be part of a large, international data science group and learn from experienced data scientists who will help you succeed.

You will experience a strong company culture, social activities, and collaborate with domain experts to deliver AI-driven improvements across our processes and tools. Solutions are Python-based and deployed on a container-based cloud AI platform.