Data & AI Internship Program (She/He/They)

THE WORK:

• Work in database systems to manage data effectively.
• Analyze data and visualize results through comprehensive aggregation.
• Develop data pipelines and work on data warehousing systems.
• Report on analysis outcomes to stakeholders effectively.
• Collaborate with experienced team members to gain knowledge and continuously improve your skills.
• Work on developing LLM and agentic AI solutions.

WHAT’S IN IT FOR YOU?

• Paid, several-month internship program - min. 3 months, 4-5 days a week, with flexible working hours.
• A chance for long-term cooperation - there is a high probability that at the end of the internship, we will offer you a full-time job.
• Ambitious projects for the most prestigious clients in the world.
• The opportunity to gain skills, knowledge and experience while working in international teams and with experts from the dynamically developing digital sector.
• Career development - based on a culture of feedback and constant support from a mentor, a clear path of development from the first day of work and Buddy's help in a new workplace.

HERE’S WHAT YOU’LL NEED:

• Available to work from the office in Warsaw/Katowice/Łódź
• Active student status and availability min. 30h per week
• Excellent communication skills in English and Polish (written and oral) and good interpersonal skills.
• Proficiency in SQL
• Knowledge of Python (Pandas, numPY.
• Foundational knowledge of Data Engineering, Data Analytics and AI.
• Desire to develop skills in Big Data/Data Analytics or AI Development and interest in learning new tools and cloud technologies.
• Excellent communication skills in English and Polish (written and oral)
• Excellent analytical and communication skills, with the ability to manage tasks independently, proactively, and assertively, along with a commitment to teamwork and adaptability to new situations and deadlines.
• A genuine passion for Generative AI and a deep desire to build practical, intelligent solutions. You should be eager to learn new tools, frameworks, and cloud technologies.