Data Scientist

 

As a Data Scientist, you will play a critical role in analyzing and interpreting data to drive business decisions. Your expertise will contribute to the development and deployment of data-driven solutions, with a strong emphasis on bringing these solutions into production. You’ll collaborate with cross-functional teams, design statistical models, and leverage your coding skills to extract valuable insights from (large) datasets. 

Together we shape the AI future for Business Assurance. This means being kind of an internal entrepreneur in BA, building a system and team as part of a bigger AI community in DNV. This includes dialogue and cooperation with business processes, systems and tools. Understanding processes, data and people before shaping an AI project is key to make sure you build a useful and value-adding system that will be used and make a difference. Likewise, following up systems in production to make sure they are adopted and continue to add value.

Your daily activities will cover following areas: 

Data Collection and Preprocessing: 

• Collect and analyze business results or set up and manage new studies to gather relevant data. 
• Transform data into a suitable format for analysis. 

Model Development and Deployment: 

• Build predictive models and machine-learning algorithms. 
• Design and implement frameworks for data collection and automation. 
• Build AI systems using generative AI technologies to create innovative solutions that enhance business capabilities.  
• Likewise, following up systems in production to make sure they are adopted and continue to add value.  

Reporting and Communication: 

• Create reports, demonstrators and presentations outlining business predictions, proposals, and findings. 
• Communicate insights to stakeholders effectively.  It is important to create something tangible, that is “alive” to boost understanding and relevance. 

Continuous Learning and Innovation: 

• Stay current with technical advancements, industry trends, and best practices. 
• Enable smarter business processes by using analytics for meaningful insights. 
• Explore and experiment with emerging generative AI tools and frameworks to drive innovation and maintain a competitive edge 

 

• Career and development. The possibilities to grow and develop your competencies and ambitions within DNV are extensive. We have a strong company culture with emphasis on growth mindset, competence sharing and professional and personal development.
• Work/life balance. We offer flexible working and have a focus on work/life balance for our employees.
• Supportive and caring culture. Our international culture embodies diverse colleagues who value teamwork and inclusion across business areas and borders. You may also join employee associations to establish networks through social and professional activities. Our largest society CONNECT throws after-works and informal meetings all year long for you to join.
• Attractive rewards. We offer a comprehensive benefits package, health services, and competitive pension, insurance, in addition to a global profit share scheme.
• By joining DNV you become part of a world-leading company whose purpose is to safeguard life, property, and the environment. You will also be part of a culture where our values “we care, we share, we dare” characterize how we act towards each other, our customers and how we perform our work. 

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 be successful in the role you should : 

• hold a master’s degree or higher in data science, computer science, statistics or another related field 
• have deep experience and knowledge with practical AI development for integration in business applications 
• be an expert in Python development and Machine Learning techniques 
• be Experience with LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).   
• have working knowledge of git and docker 
• be eager to learn about new technologies and trends 
• enjoy working in cross-domain teams 
• be result-oriented and like to solve problems 
• be curious and eager to understand customer needs 
• have good verbal and written communication skills in English 

Please send us your CV and Cover Letter written in English. 

About Business Assurance
We help companies ensure compliance, build high-performing management systems, and meet competence needs within a wide range of industries. DNV helps companies understand Working with us, you can be involved in technically challenging and innovative projects worldwide demanding a broad variety of expertise. Our strong focus on research and innovation opens an array of opportunities, and allows you to engage in projects which develop next generation solutions. and manage their risk picture through our management system certification and training portfolios.