Are you a data science or data engineering student eager to embark on a professional pathway in advanced data technologies?

Would you like to gain hands-on experience with the latest development practices and state-of-the-art data technologies? Do you aspire to contribute to a cleaner, more sustainable future?

If you answered yes, then the data track in our ChargEye Summer Trainee Program could be a perfect next step for you! The program will run during summer 2025 (12.5.-31.8.2025).

WHAT WE OFFER

The program will start with a 2-week data & ML tools and practices academy, where we provide onboarding and training into our processes and tools and get to know the people. There will also be a company onboarding during June, where you will learn about Kempower as a company and the roles of different departments.

We expect you to be physically present at the Tampere office (in Hervanta) for the first month – after that also remote days are possible if the team feels it is the best way to work.

For the main part of the summer, you will be working as a part of our Data & ML team. The team has top-notch professionals to support you as a trainee. The team will work together using agile methodology to solve real-world problems, develop new ML-based features for our ChargEye EV charger management system and analytical tools for company-internal and customer use.

You will get experience in working on all aspects of the data stack: data analytics, data & ML pipelines, productionizing, and AWS as a platform. You will gain valuable experience on a wide range of practices and topics such as cloud-native data tools, code reviews, ML-ops, continuous integration and continuous deployment (CI/CD), infrastructure as code, AWS and Databricks. You will have support from both our core team and your peers within the team.

We offer you the option of having an unpaid 1-week holiday during the summer – agreed based on your plans and the team’s schedule.

We will organize several team events during the summer – learning and having fun with our colleagues are core things for us!

This is a paid program, and we offer a monthly salary based on the number of credits you have completed and previous work experience. 

Some tech keywords to describe our stack: AWS, Kinesis, DynamoDb, S3, ElasticSearch, Databricks, TimescaleDb, Terraform, SQL, Python, Pandas, pySpark , Sklearn, XGBoost, Tensorflow, PyTorch.

WHAT DO WE EXPECT FROM YOU?

• You have already completed your main programming studies and have good command of tech stack

• You have ongoing university/university of applied sciences studies and have completed at least 3 years' worth of university studies in data science, computer science, statistics or a related field

• You have some school or hobby projects under your belt that you are proud of and can demo to us and talk about in more detail

• You have intellectual curiosity and a drive to constantly learn more

• Fluent English skills (as our official company language is English)

WOULD YOU LIKE TO PLUG IN AND BE THE CHANGE?

Does this sound like something for you? Want to join us in powering planet cool? We can’t wait to hear from you!

In your application, we expect you to:

• Describe your skills and experience

• Make sure to specify whether you are applying for a data science or data engineering position in your application.

• Include a showcase project that you want to demonstrate and discuss (a repository link etc.)

• If you want to, include a transcript of your studies

Send your application before January 26th 2025. We will be processing applications on a rolling basis and start interviewing applicants already during the application period.

Location: Tampere

Please send your application via this application form, due to GDPR compliance reasons we cannot accept applications sent by email.

Kempower is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Our employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, or any other status protected by laws and regulations. We do not tolerate discrimination or harassment based on any of these characteristics, and we encourage applicants of all ages.

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