Data Science Intern

Job Title: Data Science Intern Company: DNV Job Category: Data Science Roles & Responsibilities: 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. 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. * 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 ### What we offer * 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. Our work helps pioneering companies and covers latest trends, regulations, initiatives to develop solutions to the most complex challenges the maritime industry is facing. By using an online or video link to the vessel, our dedicated remote surveyors can support vessels anywhere in the world. The cloud\-based digital twin is a virtual image of customers’ assets, maintained through the lifecycle and easily accessible at any time. ### Professional Development We support you in exploring different career opportunities or shifting between teams, business areas, or geographies, so that you can shape your career according to what you find motivating. At DNV you can expect to deliver career and industry defining work. You’ll be given the time to build your network, the resources to support your development, and the freedom to satisfy your curiosity and desire to learn. Work Location: Pune, India Availability: Full time

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 Projects and case studies ----------------------------- Cyber security is an important topic for the maritime industries due to rapid digital change that come with new threats and regulatory requirements. Benefits ------------ Please note that some benefits may vary depending on location, business area, and employment terms. Please confirm with your recruiter. You’ll be part of our global profit share scheme that means we all share in our success as a business. If we profit, so do you. This will be part of our Total Compensation approach each year and depends on our year\-end results. We believe in the 70/20/10 learning model, where 70% of your learning comes from performing your everyday tasks and working on different projects, new areas and initiatives to gain new skills. 20% from working with others and mentoring and the rest from formal education. Key Skills: Data Science Salary: Not disclosed