Data Scientist

Location:
Spain
Business:
Energy Systems
Position type:
Full Time
Contract type:
Permanent Employee
Job ID:
4716
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Overview

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 the role

GreenPowerMonitor, a DNV company, is at the heart of global energy transformation. We use data-driven digital solutions to optimize the performance of renewable energy installations around the world. Our work contributes to a more diverse and sustainable global energy mix.

We are looking for a motivated and skilled Data Scientist to join our team and contribute to the support and development of data-driven solutions in the renewable energy sector. If you are passionate about data, fluent in Python, and experienced in statistics, time series analysis, and boosting techniques, we want to hear from you!

Key Responsibilities:

  • Analyze time series data and perform data quality control for wind, solar, and storage technologies.
  • Apply statistical and machine learning techniques to uncover insights from complex datasets.
  • Collaborate with cross-functional teams to integrate analytical outputs into operational workflows.
  • Train and evaluate models with effective hyperparameter tuning and result validation to support business decisions.
  • Use Kubernetes to manage and deploy machine learning workflows in containerized environments.
  • Work with databases such as MongoDB, ClickHouse, and PostgreSQL, for data storage and processing.

This is a unique chance to apply your data science skills to real-world challenges in renewable energy. You'll work with advanced tools and technologies, contribute to impactful projects, and help accelerate the global shift toward a sustainable energy future.

What we offer
Our benefits package is specifically designed to support your physical, financial and social wellbeing:
  • Great atmosphere of working together with professionals and some of the most engaged and knowledgeable people in the industry.
  • Guidance from colleagues through coaching, mentoring and participating in international networks.
  • Numerous opportunities to advance your professional skills and technical expertise through individual competence development plans and tailored training.
  • Multiple country specific lifestyle benefits, including health insurance, pension plan, flexible work schedule, trainings, etc.
  • Be part of a world growing and renowned organization with origins dating back to 1864.
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.

About you

To thrive and succeed, you have:

  • Degree in Engineering, Mathematics, or Computer Science.
  • Strong proficiency in Python, including libraries such as NumPy, Pandas and Scikit-learn.
  • Solid foundation in applied statistics, including the series analysis, clustering, distribution analysis, and hypothesis testing.
  • Practical experience with machine learning algorithms, especially clustering, regression and boosting methods (e.g. XGBoost, LightGBM, CatBoost).
  • Experience in hyperparameter tuning and model performance optimization.
  • Hands-on experience with time series modeling and analysis.
  • Working knowledge of databases such as MongoDB, ClickHouse, or PostgreSQL.
  • Proficient in Git for version control and collaborative development.

Will be a plus:

  • Familiarity with AutoML tools to streamline model development.
  • Basic Knowledge of Kuberflow for orchestrating machine learning workflows.
  • Experience with cloud platforms (Kubernetes, AWS, Azure) and containerization tools like Docker is a plus.
  • Prior experience int he renewable energy domain is a strong advantage.
  • Deep learning techniques and frameworks such as TensorFlow or PyTorch is a plus.

As a person, you demonstrate strong analytical thinking, curiosity, and a problem-solving mindset. You can work both independently and collaboratively, communicating complex finding clearly to nontechnical stakeholders. A high level of attention to detail, adaptability, and a passion for continuous learning are essential, especially in fast evolving environments like renewable energy. Strong teamwork, ownership, and a proactive attitude toward challenges and innovation are key to thriving in this role.

Benefits

Profit Share

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.

Insurance

Taking care of you with travel, life, and accident insurance.

Pension Schemes

We care about your long-term financial security and prioritize pension and retirement benefits to reflect our caring values.

Professional Development

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.

Hybrid Working

Adapting to the changing world of work around the world.

Purpose-led organization

You become part of a world-leading company where we know and live our purpose; to safeguard life, property, and the environment, with the opportunity to tackle global change through your work.

Supportive and caring culture

We offer opportunities to connect through social and professional networks. Our largest community CONNECT, organizes after-work events and informal meetings throughout the year.

Attractive rewards

We focus on work/life balance and offer employees flexible working hours and workplace, annual vacation allowance, competitive pension, insurance, and a global profit share scheme.

Diversity, Equity and Inclusion

At DNV, our commitment to Diversity, Equity, and Inclusion is not only an ethical choice, but also a business decision.

Diversity, fairness, and a sense of belonging are a source of strength for our people, our business, and our customers, and help us to deliver on our purpose, vision, and values.

Learn more

Working here

Since 1864 we’ve been dedicated to safeguarding life, property and the environment. Today we remain at the forefront of new technologies and techniques to help our customers transform for a more sustainable future.

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.

Learn more

Application Process

FAQs

Welcome to our Frequently Asked Questions page. We’ve put together answers to the questions we’re asked most often to help you find the information you need quickly and easily. Whether you're curious about our recruitment process, benefits or career growth and development, you should find the information below.

How can I find job openings that fit my skills and interests?

Explore our official job search page where you can use filters such as job type, location, and department to find roles that best match your qualifications and career aspirations.

What’s your application process like?

You can apply directly through our careers page by submitting your CV and any other documents we require (i.e. university diplomas/transcripts; visas; previous employment reference letters). Make sure your application is fully completed, and you tailor it to the specific job listing. 

Is your recruitment process designed to be inclusive and accessible?

Yes, it is. We're an equal opportunities employer and welcome applications from all candidates. We’re happy to support your need for any adjustments during the application and hiring process. Share the details of what you need within your application.

What types of interviews might I undergo?

Depending on your role, our interview process may include initial phone screenings, video conferences, and in-person interviews, focusing on both your technical abilities and our shared values. You can ask your recruiter specifically about the interview process for your role. 

How long does the hiring process typically take from application to decision?

The timeline can vary but we make every effort to reply to each candidate as soon as possible and keep everyone up-to-date with where they are in the recruitment process.

How do I know if a recruitment contact is legitimately from your company?

Official communication will come from our verified company email addresses. Carefully check any suspicious looking emails and if you have any doubts, don’t engage.

Are there any fees involved in your recruitment process?

No, we do not charge any fees at any stage of our recruitment process. All applications and interviews are free of charge, we will never ask you to pay any fees or make any payments – please be wary of any requests for payment as these are likely scams.

What should I do if I suspect a job scam?

If you encounter suspicious job postings or recruitment practices, do not provide personal information and contact your recruiter as soon as possible. We take these matters seriously. We will never ask you to pay any fees or make any payments part of our recruitment process.

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Disclaimer

Please beware of recruitment scams that pretend to be from DNV or its employees. We will never ask you to pay any fees or make any payments as part of our recruitment process.