Data Analytics Engineering Intern

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Data Analytics Engineering Intern – ASUX

Aptiv is a global technology company that develops safer, greener, and more connected solutions for the automotive industry. We’re at the forefront of driving innovation in mobility, working with leading automakers to shape the future of transportation. If you’re passionate about cutting-edge technology and want to help create the future of mobility, Aptiv is the place for you.

Your Role

Are you driven to unlock the power of data to improve real-world technologies like autonomous vehicles and advanced driver-assistance systems (ADAS)? As a Data Analytics Engineering Intern with the Advanced Safety and User experience (ASUX) team in Troy, MI, you will support the Data Mining & Analysis (DM&A) group in analyzing vehicle sensor data and developing tools that improve traffic sign recognition, algorithm validation, and autonomous system performance. You’ll contribute directly to building safer, smarter vehicles through data-driven innovation.

What You’ll Do:

• Design and implement data harvesting tools to extract traffic sign information from real-world vehicle data.
• Build semi-automated ground truth validation pipelines for labeling and validating traffic sign data.
• Develop and train machine learning models for traffic sign identification and classification.
• Use tools like Python, MATLAB, SQL, and basic C/C++ to develop, analyze, and visualize datasets.
• Create a robust and searchable database to store high-quality ground truth annotations.
• Collaborate cross-functionally with algorithm, testing, and system architecture teams.
• Contribute to projects that enhance regulatory compliance, ADAS functionality, and global scalability.

What You’ll Need:

• Enrolled in a degree program in Computer Science, Data Science, Electrical/Computer Engineering, or a related technical field.
• Experience with Python and/or MATLAB for data processing and visualization.
• Exposure to SQL, C/C++, or computer vision techniques is a plus.
• A passion for data mining, machine learning, and automotive applications.
• Strong analytical, problem-solving, and documentation skills.
• Interest in autonomous driving and ADAS systems.

What’s In It For You:

• Gain hands-on experience working on real-world projects that impact the future of mobility.
• Work alongside industry experts who are driving innovation in automotive safety and user experience.
• Be part of a dynamic and inclusive work environment that fosters creativity and collaboration.
• Opportunity for full-time employment or future internships at Aptiv based on performance.

Why join us?

• You can grow at Aptiv. Aptiv provides an inclusive work environment where all individuals can grow and develop, regardless of gender, ethnicity or beliefs.
• You can have an impact. Safety is a core Aptiv value; we want a safer world for us and our children, one with: Zero fatalities, Zero injuries, Zero accidents.
• You have support. We ensure you have the resources and support you need to take care of your family and your physical and mental health with a competitive health insurance package.

Your Benefits at Aptiv:

• Holiday Paid Time Off
• Relocation assistance may be available
• Discount programs with various manufacturers and retailers
• Muti-discipline experience in an Automotive product design and manufacturing major supplier
• Meaningful work that makes a difference in the world
• Learning and development opportunities
• Opportunities to give back to the community

Apply today, and together let’s change tomorrow!

Privacy Notice – Active Candidates: https://www.aptiv.com/privacy-notice-active-candidates

Aptiv is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability status, protected veteran status or any other characteristic protected by law.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status or any other characteristic protected by law.

 

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