Intern - Data and SW development, Energy Market Analytics

DNV’s Energy Markets Analytics Southern Europe (SE) team is offering an internship, looking for an ambitious, highly vocational and skilled student in Energy/Electrical Engineering with interest in energy markets and/or energy system modelling to support the activities of the Energy Markets Analytics SE team.

The tasks of the intern in Modeling will include:

• Assisting developing analytical tools, digital solutions, and advanced energy market models to forecast electricity prices, assess market trends, optimize energy assets, and improve the scalability, efficiency, and quality of the team's services.
• Contributing to the evolution of software architectures, data pipelines, and codebases to deliver robust, scalable, and maintainable solutions.

At DNV, you will gain hands-on experience in a global company where you can learn from industry experts, work on meaningful projects, and develop your professional skills. As an intern, you will be part of an international and collaborative team, supported by colleagues who are passionate about sharing knowledge and helping you grow. You will have the opportunity to contribute from day one while gaining valuable insight into your chosen field and building a strong foundation for your future career.

DNV is an Equal Oppertunity 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.

• Currently pursuing a degree in Computer/Software Engineering, Data Science, Mathematics, Statistics, Physics, Electrical/Energy Engineer, or a related quantitative discipline.
• Strong programming skills in Python and SQL, with experience developing production-grade software, analytical platforms, quantitative models, data pipelines, APIs, or other complex applications.
• Strong software engineering fundamentals, including Git, testing, debugging, code reviews, CI/CD, documentation, and collaborative development workflows.
• Experience with mathematical optimization (operations reseach), simulation, machine learning, or data science frameworks (e.g., Pyomo, Pandas, NumPy, SciPy, Scikit-learn, or similar) is considered a plus.
• Interest in energy markets, power systems, renewable energy, battery storage, or the energy transition. Previous industry experience is an advantage but not required.
• Familiarity with energy system modelling such as PLEXOS, PyPSA, or similar platforms is considered a plus, but is not required.
• Proficiency in English; Italian and/or Spanish are an advantage.
• Curious, proactive, and eager to learn, with strong analytical and problem-solving skills.