INTERNSHIP DETAILS

Internship – Machine Learning / Data Science

CompanyHitachi
LocationKrakow
Work ModeOn Site
PostedJuly 24, 2026
Internship Information
Core Responsibilities
The intern will analyze large-scale industrial datasets and contribute to machine learning algorithms within the power systems domain. Responsibilities include developing data pipelines for simulation, optimization, and design verification processes.
Internship Type
part time
Company Size
37368
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Hitachi Energy is a global technology leader in electrification, powering a sustainable energy future with innovative power grid technologies with digital at the core. Over three billion people depend on our technologies to power their daily lives. With over a century in pioneering mission-critical technologies like high-voltage, transformers, automation, and power electronics, we are addressing the most urgent energy challenge of our time – balancing soaring electricity demand, while decarbonizing the power system. With an unparalleled installed base in over 140 countries, we co-create and build long-term partnerships across the utility, industry, transportation, data centers, and infrastructure sectors. Headquartered in Switzerland, we employ over 50,000 people in 60 countries and generate revenues of around $16 billion USD.
About the Role

Location:

Krakow, Lesser Poland, Poland

Job ID:

R0139066

Date Posted:

2026-07-24

Company Name:

HITACHI ENERGY POLAND SP. Z O.O.

Profession (Job Category):

Administration & Facilities

Job Schedule: 

Part time

Remote:

No

Job Description:

The opportunity

Hitachi Energy Research Center Kraków is offering an internship position in the field of Machine Learning and Data Science. As part of the research team, you will apply data science methods in the large-scale industrial context and contribute to  machine learning algorithms in the power systems domain. You will have the chance to collaborate with domain experts, participate in research projects and potentially publish your results in scientific journals or conferences. 


How you'll make an impact

  • Support the team in the analysis of large data sets, such as time-series data, graph-based data or design specifications 

  • Use python to parse data, identify patterns with data science tools and process them with machine learning methods

  • Develop pipelines to deploy your solutions in the simulation, optimization and design verification process

Your background

  • You are a university student in the field of science, technology, engineering or mathematics, graduating in 2027 or later

  • You are familiar with linear algebra and matrix calculus

  • You are comfortable with Python, including numerical calculation libraries

  • You have experience with PyTorch, TensorFlow, Scikit-learn or other ML framework

  • You are interested in and actively follow the technology developments in the machine learning and artificial intelligence field

  • You have a scientific and problem-solving mindset

  • You know how to express your ideas and present results of your study to a broad audience

  • You are fluent in English

More about us 

We offer following benefits to all interns: 

  • Flexible working hours 

  • Access to an e-learning platform

  • Multisport card 

  • Participation in company social events 

Dbamy o przejrzystość i zgodność z wymogami prawnymi tak, aby każda osoba uczestnicząca w procesie rekrutacyjnym wiedziała, czego może się spodziewać na poszczególnych etapach. Po pomyślnym zakończeniu procesu przedstawimy wybranej osobie szczegóły dotyczące warunków finansowych oraz benefitów. Pozostałe elementy oferty zostaną przekazane przed podpisaniem umowy, tak by stworzyć możliwość spokojnego zapoznania się z nimi.

*Klauzula obowiązuje wyłącznie na terenie Polski, zgodnie z lokalnymi przepisami prawa.

We are committed to full transparency and compliance with all legal requirements, ensuring that every candidate knows exactly what to expect at each stage of the recruitment process. Once the process is successfully completed, we will share detailed information about financial conditions and benefits with the selected candidate. Before signing the contract, you will receive all remaining details of the offer, giving you the time and space to review everything carefully.

*Applicable only for Poland location, in accordance with local law regulations.

Accessibility and reasonable accommodation

Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.


This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response.


Use of Al and automated tools in recruitment

As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice.

Background Screening and Security Checks

As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws.

For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligence measures aligned with the responsibilities of the position.

The scope and depth of any background or security review will be determined based on the nature of the role and business necessity, and will always be conducted in compliance with applicable federal, state, and local laws. Candidates will be notified and, where required, asked to provide consent prior to the initiation of any such checks.

Key Skills
PythonMachine LearningData SciencePyTorchTensorFlowScikit-learnLinear AlgebraMatrix CalculusTime-series AnalysisGraph-based Data AnalysisData ParsingEnglish Fluency
Categories
Data & AnalyticsScience & ResearchTechnologyEngineeringEnergy
Benefits
Flexible working hoursAccess to an e-learning platformMultisport cardParticipation in company social events