Working Student - Data Science
NIKI Digital Engineering
- Κατσικάς, Ιωαννίνων
- Μόνιμη
- Πλήρης Απασχόληση
- You will work with other data scientists, data engineers, machine learning engineers, and project managers on interdisciplinary projects using math, stats, and machine learning to derive structure and knowledge from raw data across the automotive industry sectors.
- Various tasks on cutting edge topics like Artificial Intelligence, Autonomous Driving, E-Mobility, Model Based Systems Engineering, or Virtual Experience.
- Work on projects with our client’s product development and IT departments.
- New challenges, personal development, and discovering new talents.
- Collaboration in interdisciplinary teams and lots of fun.
- Support in developing concepts and implementing data-based solutions for specific issues.
- Participation in introducing innovative Big Data technologies and intelligent algorithms in the automotive industry.
- Developing scripts and automatization tools for analyzing or managing large amounts of data generated by measurement and simulation and for report generation.
- Enrolled in university studies in engineering, computer science, mathematics, physics, or other related fields.
- First experience with Python or Matlab object oriented scripting.
- Personal initiative and commitment, the ability to work in a team, and a good sense of humor.
- Excellent English skills.
- Interest in interdisciplinary collaborations.
- Pursuing a Master’s degree in Statistics, Data Science, or a similar quantitative discipline.
- Good command of the German language.
- Ability to communicate effectively with different groups/individuals.
- Structured learning on the job, professional feedback, and a mentor open to all your questions.
- Innovative, highly technically demanding industry and research projects, interdisciplinary teams, and highly qualified colleagues.
- Open doors, and the chance to take over responsibility quickly – participate, shape, and leave your fingerprint.
- Discover new talents and shape your career path: Become a specialist, project manager, or manager.
- Simultaneous, collaborative work using modern digital platforms.
- Workplace flexibility.
- Flexible working hours thanks to our attractive flextime model - only compatible projects.
- Enjoy working with great colleagues in your day-to-day work.