Wärtsilä Energy Storage & Optimization (ES&O) is the leading global energy storage optimizer. Our mission is to deliver integrated energy solutions that build a resilient, intelligent, and flexible energy infrastructure - unlocking the way to an optimized renewable future. By integrating renewables, energy management technology, and storage with traditional energy resources, we reinvent clean energy production from the largest and most complex grids to the most remote and essential microgrids. We play a key role in Wärtsilä’s vision towards a 100% renewable energy future through flexibility, reliability, and integration and a more sustainable world for us all.

 

Role Summary/Purpose

The primary function of this role is to advance the development of our Renewable+ product offering. The Data Science Intern will assist in the development of simulation tools, forecasting methods, and data driven operation optimization algorithms for energy systems in Python. The Intern will be an integral part of the Simulation and Data Science team in a Research and Development role, working to accelerate the development of our software capabilities while supporting new product development initiatives in the field of automated power system optimization.

 

Essential Responsibilities

Develop, implement, and leverage linear and quadratic programming optimization methods. Turn data models and algorithms into software and evaluate model effectiveness by conducting tests on large sets of historical data Build simulation tools with front-end web interfaces that reconstruct events Work with our cloud services development team to deploy and monitor Python solutions in a cloud/bare-metal hybrid environment, helping to tune and debug performance Tune data models and algorithms for conducting time series analysis, forecasting, and operation optimization related to energy management, improving performance and accuracy within the context of the business logic Improve internal libraries to facilitate rapid software product development Write documentation on algorithm and model improvements to clearly communicate the structure of new methods and implementations, including justification Support tasks outside of job description as needed The candidate must be able to embrace the fast and dynamic environment of a growth stage company, comfortable with adjusting quickly to changing priorities.

 

Qualifications/Requirements

Currently pursuing a degree in computer science, engineering, applied mathematics, physics, or related fields. Concrete understanding of computer science principles Proficiency in Python Familiarity with using debugging tools Can work independently and provide strong leadership

 

Desired Characteristics

Expertise in writing and debugging software in multiple languages Experience with open-source analytic and data munging software Familiar with large, distributed datasets for high-speed computing

 

Last application date: 03/01/2025 

 

Why you and us:

You will be a part of a global organization with local presence and work in an exciting and dynamic working environment with highly motivated and skilled co-workers. We offer interesting and challenging work tasks, as well as personal and professional development in a great team. If you feel excited by being a part of this working environment and think your personal skills and qualities match the job requirements, we look forward to receiving your job application. At Wärtsilä we value, respect and embrace all our differences, and are committed to diversity, inclusion and equal employment opportunities; everyone can be their true self and succeed based on their job-relevant merits and abilities.

 

We are not accepting unsolicited submissions from 3rd party recruitment agencies.

Successful applicant must be authorized to work in the USA without sponsorship. We look forward to hearing from you. Qualified candidates must apply online: https://www.wartsila.com/careers

 

Individuals hired for positions that require on-site customer interactions and/or in-person travel may be required to be fully vaccinated against COVID-19 or other country-specific vaccinations, unless otherwise prohibited by law. Wärtsilä North America values our employees. We offer a competitive salary and comprehensive benefits package. Wärtsilä North America is an EOE/AA employer.

 

Effective January 2025, Wartsila companies in the USA will implement a new hybrid work model. Most employees who live within 40 miles of an office will work 2 days per week in office. This model will provide our employees the flexibility of working from home, while also providing the benefits of in-person collaboration twice a week. We will be happy to provide more information during your interview process.

 

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