Jobs
In this summer internship you will be able to support the design and implementation of an ML/AI project. This internship may include the following tasks:
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Support the end‑to‑end design and implementation of an ML/AI project
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Prepare, clean, and explore datasets; build data pipelines
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Engineer features and train/evaluate ML models (classification, regression, clustering)
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Optimize models through hyperparameter tuning and comparison
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Develop simple prototypes (e.g., internal tools, APIs)
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Work with structured data, time‑series, or NLP depending on project needs
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Automate reporting or forecasting tasks
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Document methods and results and present insights to stakeholders
Your profile:
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Solid Python skills
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Experience with data analysis libraries (e.g., pandas, numpy)
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Basic understanding of machine learning concepts
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Experience with scikit-learn or similar ML frameworks
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Familiarity with Jupyter Notebooks
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Solid understanding of statistics and data structures
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Curiosity and willingness to learn new tools and methodologies
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Proactive communication and teamwork mindset
Availability: Full-time for2-3 months between June and October 2026
The minimum salary for this position is 2100,- EUR gross monthly/full-time.
More information about NXP in Austria...
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About NXP Semiconductors
Reviews
3.9
44 reviews
Work Life Balance
3.8
Compensation
3.9
Culture
4.1
Career
3.6
Management
3.8
73%
Recommend to a Friend
Pros
Competitive compensation and benefits
Good work-life balance and flexible environment
Interesting projects and challenges
Cons
Room for improvement in processes
Work-life balance varies by team
Internal communication could improve
Salary Ranges
267 data points
Junior/L3
L3
Junior/L3 · Data Scientist
0 reports
$114,000
total / year
Base
$99,000
Stock
-
Bonus
$15,000
$96,900
$131,100
Interview Experience
42 interviews
Difficulty
3.1
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 69%
Neutral 13%
Negative 18%
Interview Process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common Questions
Technical skills
Past experience
Team collaboration
Problem solving
News & Buzz
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