About us:
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.
About Energy Systems
We help customers navigate the complex transition to a decarbonized and more sustainable energy future.
We do this by assuring that energy systems work safely and effectively, using solutions that are increasingly digital. We also help industries and governments to navigate the many complex, interrelated transitions taking place globally and regionally, in the energy industry.
About the role:
DNV Energy Systems is in the middle of an exciting digital transformation! The future growth of our digital twins, management, monitoring and control solutions for renewable energy assets is in our hands.
We have created a unit focusing on digitalization and innovation within Green Power Monitoring. By closely liaising with our customers, we are crafting solutions that will become part of our future software offering. Combining our deep domain expertise in wind, solar, storage and grid integration with the unlimited potential of digitalization, we will be offering trustworthy actionable insights that will enable best-in-class operational performance of our customers' assets.
What You will do:
As the Senior Data Scientist in the team, you will support the development of algorithms that help our customers by:
Optimizing the way their assets operateInnovating and disrupting the industry with best-in-class solutions and breakthrough market opportunitiesProviding analytics and tools for the suite of GPM solutionsLeveraging the potential of data analytics combined with the technical knowledge available in the wider cohort of DNV Energy Systems colleagues renewable energy technology.You will solve a variety of problems using techniques such as time series forecasting, anomaly detection, signal processing, classification, probabilistic modelling, natural language processing, and more.You'll team up with junior data scientists and domain experts in various renewables technologies to solve innovative problems.You'll team up to create software prototypes and minimum viable products in close collaboration with customers and stakeholders, iterating solutions until you get buy-in from the end users.You'll own or support innovation ideas from ideation to production handover - collaborating and connecting with others throughout the journey.How You will succeed: Leverage your creative problem-solving skills to deliver innovative product solutions using classical statistics, mathematical modelling, and the full spectrum of machine learning techniques.Develop production grade data science solutions.Own the overall team's machine learning practice.Embrace collaboration and brainstorm with other team members on how to continuously drive the product forward using data science.Drive specific algorithms' life-cycle from conception to prototyping, testing, and continuous improvement.Serve as a mentor and resource to other junior data scientists and domain experts on the team.Support domain experts to deliver joint projects by advising, coding and testing (depending on specific needs) data science driven algorithms.What we offer:
Along with competitive conditions, DNV offers you the possibility to make a global impact on a safe and sustainable future. Our working culture is based on respect for one another and the appreciation of work-life balance.
Work with dedicated and competent colleagues and meet demanding customers in an international environmentExperience complex and exciting challengesWork locally with the chance to expand your global horizonWe enable a continuous individual developmentSocial benefits as per DNV locationAbout you: Position Qualifications
- A Bachelors or advanced degree in a quantitative field.
- 4+ years of work experience using core statistical methods such as checking distributions, correlation/association analysis, multivariate analysis, hypothesis testing, dimensionality reduction.
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