Data Science Intern

Wärtsilä is an innovative technology company known for being a forerunner in the Marine and Energy markets. Every day, we - Wärtsilians - put our hearts and minds into turning Wärtsilä's purpose of enabling sustainable societies with smart technology, and our Smart Marine and Energy visions into reality. Our ultimate aim is to provide increased value to both our customers and society. New, game-changing ideas and continuous improvement have been part of our DNA since 1834. Together, we can create new business opportunities and a more sustainable future that we can all be proud of.

We are transitioning the world towards a cleaner future. By pushing the boundaries of engineering and technology, we make it work. We are always on the lookout for future-oriented talent - want to join the ride?

Role Summary/Purpose

The primary function of this role is to advance the development of our Battery Energy Storage Systems modeling, analysis and prediction tools. The Battery Data Science Intern will assist in the processing of data, development of python and MATLAB simulation tools, forecasting methods, and data-driven 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

• Write scripts and develop processes for managing large sets of battery data
• Improve internal libraries to facilitate rapid software tool development
• The candidate must be able to embrace the fast and dynamic environment of a growth-stage company, comfortable with adjusting quickly to changing priorities.
• Graphical presentation and software development ability
• Support tasks outside of job description as needed
• Gather, process, and clean data from production for use in analytics and model development and analysis
• Develop deep learning networks to predict battery state of health, battery energy storage system performance and predict battery failures.
• Work with our battery testing team to streamline the data reporting process
• Write documentation on algorithm and model improvements to clearly communicate the structure of new methods and implementations, including justification
• Develop, implement, and leverage electrical modeling programs in both python and MATLAB.

Qualifications/Requirements

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

Desired Characteristics

• Familiar with large, distributed datasets for high-speed computing
• Familiarity with using debugging tools
• Experience with open-source analytic and data munging software

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.

Successful applicant must be authorized to work in the USA without sponsorship.

We look forward to hearing from you. Qualified candidates must apply online: http://www.wartsila.com/en/careers/vacancies.

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.

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