How do I apply for the Summer Internship: Product Engineering / Data Analysis (m/f/d) position at NXP Semiconductors and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

Is the internship at NXP Semiconductors paid and what compensation can candidates expect?

Yes, this is a paid internship opportunity. Exact compensation details are typically finalized during the company interview process.

What are the working arrangements and expected duration for the Summer Internship: Product Engineering / Data Analysis (m/f/d) role?

This position is a full-time, structured as a not disclosed role, with an expected duration of 2.5 months.

What educational background or degree level is required for the Summer Internship: Product Engineering / Data Analysis (m/f/d) at NXP Semiconductors?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does NXP Semiconductors provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Summer Internship: Product Engineering / Data Analysis (m/f/d)

NXP Semiconductors

Found 1 month ago

Location

Gratkorn, Austria

Duration (Months)

2.5 Months

Time

Full-time

Work Mode

Not disclosed

Salary

2100,- EUR gross monthly

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

Python
C/C++
statistics
data analysis
machine learning
AI/ML

Soft Skills

teamwork
taking initiative

Job Description

As part of our Product Engineering team, you will support data analysis tasks, including: * Innovating, creating and developing AI/ML solutions * Data analysis and processing * Creating code for efficient data analysis * Documenting findings with clarity and supporting internal knowledge sharing

Requirements

Ongoing high school or university studies
Strong foundation in statistics, data analysis, and machine learning
Strong programming skills in Python and C/C++
You enjoy teamwork and taking initiative
Good English skills (spoken and written)

Data & Analytics

Data Analysis

Languages

English

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12Open Positions

Open Positions

12Open Positions

Summer Internship: Product Engineering / Data Analysis (m/f/d)

Education

Skills & Qualifications

Technical Skills

Soft Skills

Job Description

Requirements

Related Field

Related Subfield

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