Data Science Internship jobs at Ford Motor

This applied materials position utilizes basic knowledge of materials science and engineering principles and practices to analyze our products through mechanical, physical, and compositional testing to develop optimized solutions for IC engine and electric power systems, fuel, and air systems, aftertreatment systems, and battery and fuel cell electric systems. In this role, you will make an impact in the following ways: + Utilize knowledge of Materials Science, Materials Engineering or Analytical Chemistry principles and practices to identify and advance solutions to achieve design, manufacturing, and quality goals. + Work cross-functionally on projects that require materials and fluids guidance on topics such as material and process selection, failure analysis, chemical and microstructural characterization, chemical metrology, and process pertaining to manufacturing and quality issues. + Utilize the core relationships between structure, composition, and processing to optimize performance of the component or fluid within its system. + Apply the principles of surface engineering to manipulate wear, strength, and corrosion resistance of components. + Evaluate component requirements regarding form and function to identify base material and processing options. + Select manufacturing route, material and process based on best-fit option(s) aligned to requirements. + Use spectroscopy methods, microstructural evaluation, mechanical property measurements, non-destructive inspection methods, and specialized tools regarding wear and corrosion on in-process, tested, or field-returned parts or fluids. + May include activities in analytically investigating product or manufacturing problems and recommending appropriate actions for problem resolution and/or optimization + Supervised execution using your understanding of fundamental Physics and Chemistry to understand causal mechanisms, recommend appropriate action and documenting problem resolutions. + Actively collaborating with key stakeholders and colleagues, communicating analysis results to impact and support the successful advancement of projects. Using tools related materials science and chemistry such as: + SEM + Optical Microscopy + Chemical Spectroscopy methods + X-ray diffraction and radiography techniques + Magma or other process simulation tools + Wear testing + Magnetic Particle, Eddy Current and other NDE methods + Knowledge of Industry Standards tical to success in the role. RESPONSIBILITIES To be successful in this role you will need the following: + Component Failure Analysis + Component Material and Process Selection + Applies Principles of Tribology + Non-Destructive Evaluation + Material Characterization + Joining and Bonding Science + Applies Principles of Surface Engineering + Decision Quality + Drives Results + Collaborates + Communicates Effectively Self-Development Degree Programs Considered: Bachelor's, Master's, PhD Major Programs Typically Considered: All Engineering Majors v QUALIFICATIONS 2026 Monthly Salary Range by Degree Level: + Bachelor's - $3,900 - $5,000 + Master's - $6,000 + PhD - $7,300 Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate's qualifications and experience, where appropriate. Internship program criteria: + Must be a full-time enrolled student pursuing an undergraduate or graduate degree at an accredited U.S. college/University + Minimum 2.5 or above GPA preferred + Must be able to complete a minimum of 10-weeks and up to a maximum of 12-weeks commitment + Must be able to complete 40 hours per week + Willingness to learn from others on the job + Must be currently residing within the continental U.S. Cummins and E-verify At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates right to work using E-Verify. Cummins will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Ready to think beyond your desk? Apply for this opportunity to start your career with Cummins today. careers.cummins.com. Not ready to apply but want to learn more? Join our Talent Community to get the inside track on great jobs and confidentially connect to our recruiting team: ******************************* Job Engineering Organization Cummins Inc. Role Category On-site with Flexibility Job Type Student - Internship ReqID 2422769 Relocation Package No 100% On-Site No Cummins and E-Verify At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates the right to work using E-Verify and will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Visit *************** to know your rights on workplace discrimination.

This applied materials position utilizes basic knowledge of materials science and engineering principles and practices to analyze our products through mechanical, physical, and compositional testing to develop optimized solutions for IC engine and electric power systems, fuel, and air systems, aftertreatment systems, and battery and fuel cell electric systems. In this role, you will make an impact in the following ways: Utilize knowledge of Materials Science, Materials Engineering or Analytical Chemistry principles and practices to identify and advance solutions to achieve design, manufacturing, and quality goals. Work cross-functionally on projects that require materials and fluids guidance on topics such as material and process selection, failure analysis, chemical and microstructural characterization, chemical metrology, and process pertaining to manufacturing and quality issues. Utilize the core relationships between structure, composition, and processing to optimize performance of the component or fluid within its system. Apply the principles of surface engineering to manipulate wear, strength, and corrosion resistance of components. Evaluate component requirements regarding form and function to identify base material and processing options. Select manufacturing route, material and process based on best-fit option(s) aligned to requirements. Use spectroscopy methods, microstructural evaluation, mechanical property measurements, non-destructive inspection methods, and specialized tools regarding wear and corrosion on in-process, tested, or field-returned parts or fluids. May include activities in analytically investigating product or manufacturing problems and recommending appropriate actions for problem resolution and/or optimization Supervised execution using your understanding of fundamental Physics and Chemistry to understand causal mechanisms, recommend appropriate action and documenting problem resolutions. Actively collaborating with key stakeholders and colleagues, communicating analysis results to impact and support the successful advancement of projects. Using tools related materials science and chemistry such as: SEM Optical Microscopy Chemical Spectroscopy methods X-ray diffraction and radiography techniques Magma or other process simulation tools Wear testing Magnetic Particle, Eddy Current and other NDE methods Knowledge of Industry Standards tical to success in the role. 2026 Monthly Salary Range by Degree Level: Bachelor's - $3,900 - $5,000 Master's - $6,000 PhD - $7,300 Please note that the salary range provided is a good faith estimate on the applicable range. The final salary offer will be determined after considering relevant factors, including a candidate's qualifications and experience, where appropriate. Internship program criteria: Must be a full-time enrolled student pursuing an undergraduate or graduate degree at an accredited U.S. college/University Minimum 2.5 or above GPA preferred Must be able to complete a minimum of 10-weeks and up to a maximum of 12-weeks commitment Must be able to complete 40 hours per week Willingness to learn from others on the job Must be currently residing within the continental U.S. Cummins and E-verify At Cummins, we are an equal opportunity and affirmative action employer dedicated to diversity in the workplace. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, gender, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity and/or expression, or other status protected by law. Cummins validates right to work using E-Verify. Cummins will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. Ready to think beyond your desk? Apply for this opportunity to start your career with Cummins today. careers.cummins.com. Not ready to apply but want to learn more? Join our Talent Community to get the inside track on great jobs and confidentially connect to our recruiting team: ******************************* To be successful in this role you will need the following: Component Failure Analysis Component Material and Process Selection Applies Principles of Tribology Non-Destructive Evaluation Material Characterization Joining and Bonding Science Applies Principles of Surface Engineering Decision Quality Drives Results Collaborates Communicates Effectively Self-Development Degree Programs Considered: Bachelor's, Master's, PhD Major Programs Typically Considered: All Engineering Majors v

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary Internship Term: Summer 2026 This is a bucket application, and is not an official opening. Your application can be considered for Rivian's 2026 internship programs. If you are selected, you will receive communication with specific responsibilities and qualifications for the role you are being considered for. Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2026 and June 2028. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. Responsibilities Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering Qualifications Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. Must be currently pursuing a bachelors, masters, or PhD degree Actively pursuing a degree or one closely related in Electrical, Computer Science, Robotics, AI, Machine Learning or similar. Must have experience with one or more of the following languages: Python, SQL, C++, MATLAB, Java, Kotlin. Must have excellent problem-solving skills with a strong ability to troubleshoot and resolve data-related issues Previous experience working within AI frameworks, highly preferred. Previous experience in machine learning research or project work is highly desirable. Strong understanding of machine learning algorithms and experience with frameworks such as Databricks MLflow, TensorFlow or PyTorch. Applying to this opening will place you into consideration of Rivian's 2025 Internship programs. Teams your application can be considered for include: Autonomy, Data Science & Analytics Autonomous Driving Machine Learning/AI Engineering Perception Engineering Data Engineering

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Scientist Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets. On the Core Data Science team, you will provide data solutions to deliver domain specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox's autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles. Requirements: * Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026 * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California or Boston for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): * Strong programming skills in Python * Proficiency in SQL * Experience with data analysis and processing libraries such as pandas and NumPy * Experience with statistical analysis and data visualization * Understanding of experimental design and A/B testing * Strong data modeling skills * Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake) Bonus Qualifications: * Experience with autonomous vehicle metrics or robotics data * Knowledge of causal inference and time-series analysis * Familiarity with Databricks, Spark, or distributed computing * Experience building dashboards and data visualizations * Understanding of autonomous driving concepts (disengagements, ODD, safety metrics) * Publications or coursework in robotics, autonomous systems, or related areas Compensation: The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Scientist Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets. On the Core Data Science team, you will provide data solutions to deliver domain specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox's autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles. Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026 At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California or Boston for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): Strong programming skills in Python Proficiency in SQL Experience with data analysis and processing libraries such as pandas and NumPy Experience with statistical analysis and data visualization Understanding of experimental design and A/B testing Strong data modeling skills Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake) Bonus Qualifications: Experience with autonomous vehicle metrics or robotics data Knowledge of causal inference and time-series analysis Familiarity with Databricks, Spark, or distributed computing Experience building dashboards and data visualizations Understanding of autonomous driving concepts (disengagements, ODD, safety metrics) Publications or coursework in robotics, autonomous systems, or related areas Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

Data Science Intern, Supply Chain BOM Analytics About Us BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work and amazing technology in a unique environment. At BorgWarner, we constantly work towards our vision of a clean and energy-efficient world. Our Culture BorgWarner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration. We believe the health and safety of our employees are a top priority. Career Opportunities We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies, and vision for the future. We offer positions locally and globally with over 80 locations in 19 countries. If this position energizes you and you feel you can help us achieve our mission and vision, you are invited to submit an application for consideration. You may see the list of requirements and feel you do not meet all of them. However, remember that BorgWarner thinks differently. If your qualifications align with the majority of those outlined in this job description, we encourage you to apply and share your experience and skills with us. Job Purpose BorgWarner PowerDrive Systems is currently looking for "dynamic, results driven" individual to join as a Data Science Intern, Supply Chain BOM Analytics in our Summer Internship Program. In this role, under the supervision of a GSM Director, the intern will be primarily responsible for designing and creating a tool to facilitate the systemic analysis and benchmarking of the bill of materials (BOM) of BorgWarner PDS products. Key Responsibilities * Understand PDS product portfolio * Work with Engineering, Advance Launch Managers (ALMs) and Global Commodity Managers (GCMs) to understand BOM structures and main building blocks of the different product lines * Assist in analysing and processing large-scale Bill of Materials (BOM) datasets across thousands of products to support supply chain optimization and decision-making * Apply data analysis techniques to identify patterns, inconsistencies, and improvement opportunities in BOM structures and component usage * Generate initial reports to validate the data analysis concept * Develop a user-friendly tool for stakeholders to compare BOMs * Provide insight to cost reduction teams (e.g.: value added / value engineering activities) * Other projects as deemed necessary by the ALM and GCM Teams What We Are Looking For * Currently enrolled in an accredited college, university, or be a graduate from an accredited college * GPA of 3.0 on a 4.0 scale, or B average, upon initial hire date * Proficiency in Python (specially pandas, numpy) for data cleaning and analysis * Experience with Power Query and Excel for data transformation and reporting * Familiarity with Power BI or other visualization tools is a plus * Understanding of supply chain concepts and BOM structures is highly desirable * Data science background preferred * Highly collaborative and team oriented * Self-motivated individual * Ability to interface at all levels within the organization in a professional manner What We Believe * Inclusion - We value diversity in people, ideas, and experiences * Integrity - We believe in transparency, authenticity, and depend on each other to deliver what we promise * Excellence - We contribute to our developments by seeking knowledge and sharing information * Responsibility - We care about our local communities and the global environment * Collaboration - We are one BorgWarner Visa Sponsorship BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, sponsorship is not available. No Unauthorized Referrals from Recruiters & Vendors Please note that BorgWarner and any of its affiliated companies does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to BorgWarner will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received. Career Scam Disclaimer BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their Social Security numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner's website to verify the authenticity of any employment opportunities. Join the company that is creating solutions that support a cleaner, more energy-efficient world. For more information about BorgWarner, please visit ****************** #LI-onsite Salary Range $16.00 - $27.00 / hour Internal Use Only: Indirect Hourly Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. 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Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Scientist Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets. On the Core Data Science team, you will provide data solutions to deliver domain specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox's autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles. Requirements: * Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field * Must be returning to school to continue your education upon completing this internship * Good academic standing * Able to commit to a 12-week internship beginning in May or June of 2026 * At least one previous industry internship, co-op, or project completed in a relevant area * Ability to relocate to the Bay Area, California or Boston for the duration of the internship * Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): * Strong programming skills in Python * Proficiency in SQL * Experience with data analysis and processing libraries such as pandas and NumPy * Experience with statistical analysis and data visualization * Understanding of experimental design and A/B testing * Strong data modeling skills * Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake) Bonus Qualifications: * Experience with autonomous vehicle metrics or robotics data * Knowledge of causal inference and time-series analysis * Familiarity with Databricks, Spark, or distributed computing * Experience building dashboards and data visualizations * Understanding of autonomous driving concepts (disengagements, ODD, safety metrics) * Publications or coursework in robotics, autonomous systems, or related areas Compensation: The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to [email protected] or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. As a Data Scientist Intern, you may be assigned to one of the following teams: On the Autonomy Software V&V team, you will work on fleet metrics, behavior analysis, and performance evaluation of our autonomous vehicles. Analyze real-world driving data to identify patterns, measure autonomy performance, and inform stack improvements. Contribute to metrics platforms that track miles-per-disengagement, driving behavior clusters (PUDO, lane changes, pullovers), and safety-critical events across our L3 development and production service fleets. On the Core Data Science team, you will provide data solutions to deliver domain specific analytical insights. In this role, you will have the opportunity to perform data analysis to develop and validate the simulation framework evaluating Zoox's autonomous driving software. You collaborate with key stakeholders in the Simulation team to gain insight into the safety and comfort performance of our robotaxi. This internship will provide you with hands-on experience in building performance metrics and conducting in-depth data analyses, contributing to data-driven decision-making within the cutting-edge field of autonomous vehicles. Requirements: Currently working towards a B.S., M.S., Ph.D., or advanced degree in a relevant Statistics, Computer Science, Data Science or related field Must be returning to school to continue your education upon completing this internship Good academic standing Able to commit to a 12-week internship beginning in May or June of 2026 At least one previous industry internship, co-op, or project completed in a relevant area Ability to relocate to the Bay Area, California or Boston for the duration of the internship Interns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of Zoox Qualifications (It's helpful if you meet a majority of the following qualifications, but it isn't a requirement): Strong programming skills in Python Proficiency in SQL Experience with data analysis and processing libraries such as pandas and NumPy Experience with statistical analysis and data visualization Understanding of experimental design and A/B testing Strong data modeling skills Good experience with data warehouse platforms (e.g. Amazon Redshift, Google BigQuery, Snowflake, …) and distributed data processing platforms (e.g. Spark, Delta lake) Bonus Qualifications: Experience with autonomous vehicle metrics or robotics data Knowledge of causal inference and time-series analysis Familiarity with Databricks, Spark, or distributed computing Experience building dashboards and data visualizations Understanding of autonomous driving concepts (disengagements, ODD, safety metrics) Publications or coursework in robotics, autonomous systems, or related areas Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

About JLG, an Oshkosh company JLG began in 1969, when our founder, John L. Grove set out to resolve growing safety concerns in the construction industry. Since then we have been committed to understanding the challenges and delivering innovative solutions to the access market. We partner with customers to provide quality equipment, training opportunities and trusted support within the access industry. We are a global company, and our products-including mobile elevating work platforms, telehandlers, utility vehicles and accessories-can be found all over the world. Assist the Manufacturing Engineering department in successfully achieving manufacturing goals and contribute to continuous improvement efforts. The Manufacturing Data Analytics Intern will receive assignments from the Manager of Manufacturing, or an assigned representative, and will be encouraged to contribute ideas and suggestions. YOUR IMPACT Support visualization of factory data (quality, availability, performance) to provide insights and make decisions Create Custom Ignition dashboards Provide statistical analysis of weld, paint, and assembly data to create predictive models - Suggest Opportunities for automated feedback in paint system, smart torque tools, as well as new robotic welding systems Perform time studies. Perform work station/cell analyses to improve productivity and quality. Provide input for manufacturing fixtures and tooling. Assist with plant layout and work station design. Learn and use ERP manufacturing software. All other duties or projects as assigned. MINIMUM QUALIFICATIONS Student working towards a Bachelor's degree in Data analytics, Industrial engineering, Manufacturing or mechanical engineering or computer science Cumulative GPA of 3.0 or above. STANDOUT QUALIFICATIONS Proficient in Excel and SQL Familiar with Power BI Familiar with lean manufacturing principles, six sigma or industrial process optimization WORKING CONDITIONS The following represents general working conditions for this role. Specific conditions may vary depending on business needs and individual circumstances. This role combines office-based administrative duties with physical activity in field or production environments. In the office setting, tasks may require extended computer use, sitting, and attending meetings. Field or floor work may involve walking across various terrains or shop floors, standing, moderate lifting (up to 50 pounds), climbing stairs, and exposure to varying temperatures or noise levels. Must be able to shift focus between detailed cognitive work and occasional physical tasks as needed. Reasonable accommodations will be provided for qualified individuals with disabilities to support performance across both office and field responsibilities. WHY JLG, AN OSHKOSH COMPANY? Moving the future forward is our priority and this includes your future. We encourage professional development and champion our employees' success through various skills and training opportunities. Named one of the World's Most Ethical Companies™ by Ethisphere Institute for six consecutive years, everything we do at Oshkosh is guided by our core values and the ~15k+ team members around the world who embody them. We put people first. We do the right thing. We persevere. We are better together. Pay Range: $18.00 - $37.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF Trucks. PACCAR is a global technology leader in the design, manufacture and customer support of high-quality light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates. PACCAR designs and manufactures advanced diesel engines and also provides customized financial services, information technology and truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services - you can develop the career you desire with PACCAR. Get started! Division Information Kenworth Truck Company is the manufacturer of The World's Best heavy and medium duty trucks. Kenworth is an industry leader in providing fuel-saving technology solutions that help increase fuel efficiency and reduce emissions. The company's dedication to the green fleet includes aerodynamic trucks, compressed, and liquefied natural gas trucks, and medium duty diesel-electric hybrids. Job Summary The Aftersales Data Analyst Intern will be responsible for cleaning, analyzing, and visualizing data sets to support decision-making across the organization. This is an excellent opportunity for a student or soon to be graduate to gain hands-on experience working with data sets and building dashboards to inform business decisions. Here's what you will do in this role: * Learn business systems and how data is created in Field Service * Perform ad-hoc analysis using SQL, Python, and ETL skills along with report building as the business dictates * Generate ad-hoc queries to support Field Service analysis requests from internal/external stakeholders * Gather information, analyze data, and collaborate to assist with projects to support warranty reduction * Create visualizations and reports to communicate findings to various stakeholders * Work with Field Service leadership to gather requirements, develop data solutions and foster data-driven decision making across the organization Required Skills: * Ability to work independently and collaboratively to make sound decisions * Ability to prioritize workload in a fast-paced, changing environment * Excellent analytical, organizational and communication skills * Experience with data analytics, data modeling, data management, and data reporting and visualization tools (Tableau, Power BI or similar) * Relevant experience with cloud-based data platforms (Teradata, Snowflake, Salesforce) * Proficiency with SQL and Python programming languages * Proficiency with Microsoft Office Suite Education The candidate we seek will be graduating in 2025 or is currently enrolled in an undergraduate or graduate program in Computer Science, Data Analytics, Business Administration, Economics, Statistics, Finance, Marketing, or related program. As a U.S. PACCAR intern, you have a full range of benefit options including: * 401k with up to a 5% company match * Sick Leave * Medical, dental, and vision plans for you and your family * Flexible spending accounts (FSA) and health savings account (HSA) * Life and accidental death and dismemberment insurance * EAP services include wellness plans, estate planning, financial counseling and more * Global Fortune 500 company with a wide array of growth, training, and development opportunities * Work alongside experienced goal-oriented colleagues recognized as experts in their field Additional Job Board Information At PACCAR, we value talent and promote growth and development. The hourly rates for Interns are $25 per hour for undergraduates and $30 per hour for graduates. Additionally, this role is eligible for the full range of benefit options listed above. PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability and E-Verify Employer. Nearest Major Market: Seattle Nearest Secondary Market: Bellevue Job Segment: Data Analyst, Field Service, Data Modeler, Summer Internship, Database, Data, Manufacturing, Entry Level, Technology

Company Information PACCAR is a Fortune 500 company established in 1905. PACCAR Inc is recognized as a global leader in the commercial vehicle, financial, and customer service fields with internationally recognized brands such as Kenworth, Peterbilt, and DAF trucks. PACCAR is a global technology leader in the design, manufacture and customer support of premium light-, medium- and heavy-duty trucks under the Kenworth, Peterbilt and DAF nameplates and also provides customized financial services, information technology and truck parts related to its principal business. Whether you want to design the transportation technology of tomorrow, support the staff functions of a dynamic, international leader, or build our excellent products and services, you can develop the career you desire with PACCAR. Get started! Requisition Summary Join the PACCAR Global Quality team as a Data Scientist intern, where your role will be central to advancing product reliability through the application of continuous improvements, advanced analytics, and cloud-based solutions. Your work will directly contribute to PACCAR's immediate and strategic future, reinforcing our dedication to setting a high standard within our team. As a Data Scientist you may leverage telematics, call center, warranty, test, and production data to unlock decision-making on prognostics and targeted design actions. The internship is scheduled to begin in May or June 2026. Job Functions / Responsibilities * Extract, clean, merge, transform and compile data from various data sources * Extract signal from data by analyzing correlations, detecting anomalies, performing dimensionality reduction, parsing text, and recommending data quality solutions * Generate machine learning models that incorporate diverse data types into a unified model * Effectively communicate insights and recommendations derived from data analysis to various stakeholders, including leadership * Provide accurate, relevant and meaningful ad-hoc analysis to management to support strategic and tactical decision-making. Education Currently enrolled in a Masters program. Additional Job Board Information At PACCAR, we value talent and promote growth and development. We carefully consider numerous compensation factors, including your education, training, or experience. The salary range for internship positions is $25 an hour for undergraduate students and $30 an hour for graduate students. Additionally, this role is eligible for a range of benefit options listed above. If you would like more information about what makes PACCAR an excellent place to work, please visit the PACCAR Career Site. PACCAR is an Equal Opportunity Employer/Protected Veteran/Disability and E-Verity Employer. Nearest Major Market: Dallas Nearest Secondary Market: Fort Worth Job Segment: Call Center, Machinist, Summer Internship, Intern, Developer, Entry Level, Customer Service, Manufacturing, Technology

Zoox's internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. In this Role, You will... * Assist in mapping and creating Data Flow Diagrams (DFDs) to visually represent how customer data is captured, processed, stored, and shared across various applications, systems, and vendors. * Collaborate with cross-functional teams to identify and mitigate data security risks. * Work closely within the InfoSec team to address security concerns and help with incident response. * Support the development and implementation of data protection strategies and initiatives. * Review and improve InfoSec controls to ensure they are up to date and fully applied. * Query databases and manipulate data to prepare datasets for analysis, focusing on human behavior. * Assist in creating reports, charts, and graphs to present findings and insights on data flows to stakeholders. * Participate in meetings and contribute to discussions on data security issues and solutions. Requirements * Currently pursuing an undergraduate degree in Information Security, or related field * Basic understanding of privacy, data management principles, and database concepts. * Basic understanding of cybersecurity principles, including threat modeling, application security testing, and secure software development practices. * A passion for computers and security. * Desire to learn and have a strong sense of curiosity. * Able to commit to a 12-week internship beginning in May or June of 2026, and are available full-time (M-F 9am - 5 pm). * Ability to relocate to the Bay Area, California for the duration of the internship. Qualifications * Excellent communication skills, both written and verbal, with the capacity to break down complex concepts for various audiences. * Familiarity with data flow diagram methodologies or a strong interest in learning visual process documentation. * Familiarity with networking concepts (how websites work, how ports and IP addresses work, how encryption works, etc.). Bonus Qualifications * SQL knowledge * Knowledge of data visualization tools like Power BI or Tableau * Familiarity with data protection tools and technologies is a plus. The monthly salary range for this position is $5,500 to $7,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Hybrid: This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week. Who You Are: As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors' development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research. What You Do: Develop connected vehicle data analytics applications for safety, infotainment, and traffic efficiency Develop and implement new vehicular data analytics applications and services in prototyping systems Evaluate and analyze the developed protocols, systems and application services either via extensive simulations or via empirical experimental measurements Participate in government-funded research work, such as the USDOT collaboration projects Document research work through internal and external publications Facilitate technology transfer via active participation in cross-functional teams What You Need: U.S. Citizenship Master's degree in computer science or electrical engineering or civil engineering Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas Strong theoretical, experimental or software programming skills What Would be Even Better: PhD degree in a related area Hands-on experience building empirical systems to develop connected vehicular data analytics systems Hands-on experience with cloud and edge computing Hands-on experience with AI/ML data analytics for engineering applications Demonstrates leadership in field of study, extra-curricular activities, or service organizations About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

**Hybrid:** This position is located in Warren, MI & requires an employee to be onsite 3-4 times per week. **Who You Are:** As a member of the Connected Vehicle Experience Research Lab, you will be working with the Connected Vehicle System group. You will be applying your expertise in connected and autonomous vehicles, wireless communication, infotainment, robotics, and data science for developing innovative approaches to enhance customer experience through wireless connectivity. As a researcher in this group, you will implement your solutions in wireless communication and publish your research findings in peer-reviewed journals to extend the reach of General Motors' development of next-generation technology. This will also include interfacing with universities, research institutes, and other advanced technology laboratories to build a network for amplifying your research. **What You Do:** + Develop connected vehicle data analytics applications for safety, infotainment, and traffic efficiency + Develop and implement new vehicular data analytics applications and services in prototyping systems + Evaluate and analyze the developed protocols, systems and application services either via extensive simulations or via empirical experimental measurements + Participate in government-funded research work, such as the USDOT collaboration projects + Document research work through internal and external publications + Facilitate technology transfer via active participation in cross-functional teams **What You Need:** + U.S. Citizenship + Master's degree in computer science or electrical engineering or civil engineering + Research experience in at least one of the following areas: mobile systems and applications, wireless communication, wireless network protocols, cyber-physical systems, wireless sensor network, intelligent transportation system, data science, or other related areas + Strong theoretical, experimental or software programming skills **What Would be Even Better:** + PhD degree in a related area + Hands-on experience building empirical systems to develop connected vehicular data analytics systems + Hands-on experience with cloud and edge computing + Hands-on experience with AI/ML data analytics for engineering applications + Demonstrates leadership in field of study, extra-curricular activities, or service organizations **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Vehicle System Data Analytics 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 As a Vehicle System Data Analytics Intern at Aptiv, you'll play a key role in analyzing complex data generated by advanced safety systems, autonomous vehicle features, and user experience technologies. You'll work closely with our engineering and data science teams to derive meaningful insights from large datasets that help optimize vehicle performance, enhance safety features, and improve user experiences. This is an exciting opportunity for someone who is passionate about data, technology, and the future of mobility. What You'll Do: Analyze large datasets collected from vehicle systems, including ADAS (Advanced Driver Assistance Systems), sensor data, and user interactions, to identify patterns, trends, and opportunities for improvement. Support the development of data models, algorithms, and visualizations to help engineers better understand system performance and safety outcomes. Collaborate with cross-functional teams to translate data insights into actionable improvements for vehicle safety and user experience systems. Assist in building automated reporting tools to provide real-time data insights for vehicle testing and validation. Perform data cleaning, preprocessing, and validation to ensure data accuracy and reliability. Help identify and troubleshoot system inefficiencies or issues by interpreting data from testing and real-world driving conditions. Present findings and recommendations to engineering teams, contributing to the continuous improvement of Aptiv's advanced vehicle systems. What You'll Need: Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Electrical Engineering, or a related field. Proficiency in data analysis tools such as Python, R, MATLAB, or similar platforms. Familiarity with data visualization tools like Power BI, Tableau, or similar. Passion for working with complex datasets and turning data into actionable insights. Understanding of automotive systems and interest in advanced safety and user experience technologies is a plus. Strong problem-solving skills with an analytical mindset and attention to detail. Excellent communication skills and the ability to work effectively in a collaborative, fast-paced environment. What's In It For You: Hands-on experience analyzing real-world data from cutting-edge automotive technologies, including advanced safety systems and user experience features. Exposure to the latest data analytics methodologies and tools used to optimize vehicle performance and safety. Mentorship from industry professionals who are leading innovation in the automotive sector. The opportunity to work on impactful projects that directly contribute to the future of connected, autonomous vehicles. A dynamic, inclusive work environment where your ideas and contributions are valued. 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: ****************************************************** 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.

JOIN THE TEAM THAT'S POWERING PROGRESS Building cities. Driving commerce. Saving lives. For over 100 years, Allison Transmission has powered the vehicles and technology that move our world forward. What powers us? Our employees. From the first person hired by James Allison in 1915 to the thousands across the globe who work for Allison today, we're driving progress everywhere because we employ top talent worldwide. Learn more about this role and how you can begin driving your career forward! Job Title: Business Analyst Intern - Summer 2026 Job Description: Summary: The Business System Analyst Intern will report into the IS&S Program/Project Management Office. The candidate will assist the on successful project delivery and departmental efforts including supporting the Project management Office in administrative activities, utilization of project management tools, business requirement collection, project reporting, system support, resource, and meeting planning. The Business System Analyst intern position allows a student the opportunity to practice business analysis skills at enterprise level. Responsibilities: Work with IS&S PMO Sr. Business System Analysts and across cross functions by distilling complex system and data-driven challenges into business requirements Interface with business users and technical development teams to deliver solutions Assist project teams with the coordination, administration and tracking of multiple enterprise technology projects Utilize project management tools to track, monitor, and report project status Other responsibilities with similar skill, work conditions, and responsibilities as assigned. Education Requirement: College undergraduate or graduate status with 1-3 years at an accredited college or university, pursing a degree in Information Management Systems, Computer Science, Management, Mechanical Engineering, Electrical Engineering, Mechatronics, Computer Engineering, or related field Knowledge, Skills and Abilities: Required: No experience requirement - current enrollment in a 4-year program Strong desire to learn about IT Business Analysis/Program/Project Management and ability to work in a team environment Proficiency with computer operation, including Microsoft Office tools Additional Activities: Dedicated mentor throughout the internship assignment Students vs. Mentors softball and kickball tournament Community service day Leadership meet & greet event Allison Transmission Vehicle Ride & Drive on the test track Opportunities to work cross-functionally in a Global Headquarters Primary Location: Indianapolis, IN Additional Locations: Allison Transmission is an equal opportunity employer. We have opportunities for all qualified applicants regardless of age, race, color, sex, religion, creed, national origin, disability, sexual orientation, gender identity/expression or veteran status. If you are an individual with a disability or a disabled veteran requiring assistance and/or reasonable accommodations reviewing any of the careers information, please contact us at ati+*********************** . Please note that Allison Transmission will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Allison Transmission will not solicit money or banking information from applicants.

Job Description Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems. Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production. Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production. Duration: 12 weeks (summer 2026) Location: Torrance, CA (onsite) Purpose We're looking for an enthusiastic student to help turn raw factory data into actionable insights for our simulation and decision support tools. The Role Instrument and capture structured data from production systems Assist with model calibration and parameter estimation for our discrete event simulation Prototype visual dashboards and reporting tools (Python, Excel) Document data workflows and contribute to tool‑design discussions Basic Qualifications Ability to lawfully access information and technology that is subject to US export controls Undergraduate or first‑year master's in Industrial Engineering, Systems Engineering, Operations Research, or Data Science Coursework or projects in process modeling, optimization, or simulation Comfortable with Python (pandas, matplotlib, SimPy optional) and Excel Curious about manufacturing operations and how data supports decisions Pay Range$38-$45 USD What We Offer: Holistic Compensation Package: Enjoy a world-class compensation package that includes a competitive salary, equity plan, and discretionary results-based incentive bonus opportunities, ensuring you're truly valued for your contributions. Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year-end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time. Comprehensive Health and Wellness: Prioritize your well-being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company-sponsored life insurance and short and long-term disability coverage for peace of mind. Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance. Collaborative and High-Performing Environment: Join our collaborative, dynamic, and high-performing team within a fast-paced, mission-driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint. Equal Employment Opportunity Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. EEO Poster In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected. E-Verify: Right to Work Our company participates in E-Verify. E-Verify is a program that electronically confirms a candidate's eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I-9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees. Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish) Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO) Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records. No agencies, no solicitations, and no calls please.

We are seeking a highly analytical and results-oriented Data Scientist with 3 years of experience specializing in leveraging IIoT data from manufacturing environments (Rockwell PLCs/VFDs, ControlLogix) to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. Responsibilities What you'll do… Programming & Databases: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) SQL (Advanced querying, stored procedures, query optimization) Cloud Platforms & Big Data: Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc Data Technologies & Protocols: MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining Dimensional Control Data Analysis Manufacturing & IIoT: Industrial Internet of Things (IIoT) Architectures & Principles Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) Familiarity with Rockwell software (e.g., FactoryTalk suite, potentially Rockwell OPTICS if it's a data access/visualization tool) Manufacturing Processes & Equipment Data Machine Learning & Statistical Analysis: Predictive Maintenance, Anomaly Detection, Quality Control/Prediction, Process Optimization Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) Statistical Modeling, Hypothesis Testing Visualization & UI/Dashboard Development: Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) UI/UX Design Principles for Data Applications Data Storytelling Software Development & Operations: Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: Develop and validate machine learning and statistical models to support business strategy. Gather, manage, and analyze structured and unstructured data for reporting and analytics. Research and apply innovative analytical methodologies and techniques. Collaborate with cross-functional teams to define objectives and develop actionable insights. Interpret and present analytical results to both technical and non-technical stakeholders. Create comprehensive reports, projections, and visual presentations. Adhere to established guidelines and contribute to strategic discussions. You'll have... Bachelor's Degree in a quantitative field (e.g., Data Science, Mathematics, Statistics, or related discipline). 3+ years of experience in advanced data analytics and model development. Proficiency in tools and programming languages such as Python, R, SQL, or similar. Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis. Strong skills in handling structured and unstructured datasets for reporting and modeling. Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Proven ability to work independently and exercise sound judgment on technical approaches. Qualifications We have a commitment to our products and customers but also know that our employees are the driving force behind our success. Find out what it is like to love your job. Come discover a Company that is focused on designing better cars, but also cares about you, your family and your community. By choice, we are an Equal Opportunity Employer committed to a culturally diverse workforce. For a detailed look at our benefits, click here: ********************************** This position is a salary grade 8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, If you need a reasonable accommodation for the online application process due to a disability, please call **************. #LI-Onsite #LI-JL1