Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1>Data preparation and exploration: <ul><li>Collaborate with the design or process departments to understand dataset requirements and how to prepare.</li><li>Assist in collecting, cleaning, and processing large datasets for analysis.</li><li>Explore data using statistical and visualization techniques to identify patterns and anomalies, opportunities</li></ul>Model development and validation:<ul><li>Design, implement and validate machine learning and statistical models to solve business problems</li><li>Ensure model robustness and interpretability, applying best practices in feature engineering and evaluation</li><li>Ensure scalability in the VC IT landscape</li></ul>Insight generation and decision support<ul><li>Translate analytical results into clear, actionable insights for business stakeholders</li><li>Provide data-driven recommendations to improve products, processes, and decision-making processes</li></ul>Deployment, monitoring, and adoption<ul><li>Contribute to the deployment of models into production environments in collaboration with data engineers.</li><li>Monitor performance of deployed models and suggest improvements or retraining when needed.</li><li>Drive the adoption across the organization</li></ul>Cross-functional collaboration<ul><li>Work closely with product teams, process team etc. to provide business analysts and domain expertise, align data science solutions with business needs.</li><li>Communicate complex findings to both technical and non-technical audiences</li></ul>Continuous learning and innovation<ul><li>Stay up to date with advances in machine learning, AI and data tools, and proactively introduce relevant methods</li><li>Participate in peer reviews and knowledge-sharing sessions to strengthen the team’s data science capabilities</li></ul>Data ethics and compliance<ul><li>Apply responsible data practices, ensuring compliance with data protection, regulations and ethical AI guidelines</li></ul><h1>Qualifications:</h1>Educational Background:• Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.•  Strong academic performance with relevant coursework in machine learning, artificial intelligence, and data analytics.Technical Skills:•   Programming(Must): Proficiency in Python, with experience in data processing libraries (e.g., Pandas, Numpy, Matplotlib, Seaborn).•  Machine Learning(Better): Familiarity with machine learning algorithms (e.g., regression, classification, clustering) and libraries like Scikit-learn, TensorFlow, or PyTorch.•   Data Management: Experience with SQL and handling structured/unstructured data.•   AI Frameworks(Better): Basic understanding of neural networks and deep learning concepts.Analytical Skills:•  Strong problem-solving abilities with attention to detail.•   Ability to analyze large datasets and extract meaningful insights.Soft Skills:•  Communication(Must): Good communication skills(both English and Chinese) for presenting data findings and collaborating with team members.•   Data ethics and compliance: Apply responsible data practices, ensuring compliance with data protection regulations and ethical AI guidelines•  Eagerness to learn and adapt in a fast-paced environment. Preferred Experience (welcome):•   Experience with cloud platforms (AWS, GCP, or Azure) for data science projects including VM and deployment.•   Participation in hackathons or relevant personal projects demonstrating data science/AI expertise.•  Knowledge of data visualization tools like Tableau or Power BI.•  Part design and FEA•   LLM related expertise e.g. fine-tuning, prompt engineering or RAGThe Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.Vibracoustic (Wuxi) Vibration Isolators Co. Ltd.

Freudenberg e-Power Systems is one of the world's leading suppliers of emission-neutral energy systems for heavy-duty applications. With its experience and expertise in battery and fuel cell technology, the company offers tailor-made solutions, in particular combined systems, for sustainable and economical e-mobility. With over 800 employees, Freudenberg e-Power Systems supports its customers from application development through to production, commissioning and service.
The company is part of the global Freudenberg Group, which has four business areas: Seals and Vibration Control Technology, Nonwovens and Filtration, Household Products as well as Specialties and Others. In 2022 the Group generated sales of more than 11 billion euros and employed more than 50,000 associates in around 60 countries.

AI Intern

Working at Freudenberg: We will wow your world!<h1>Responsibilities:</h1>Data preparation and exploration: <ul><li>Collaborate with the design or process departments to understand dataset requirements and how to prepare.</li><li>Assist in collecting, cleaning, and processing large datasets for analysis.</li><li>Explore data using statistical and visualization techniques to identify patterns and anomalies, opportunities</li></ul>Model development and validation:<ul><li>Design, implement and validate machine learning and statistical models to solve business problems</li><li>Ensure model robustness and interpretability, applying best practices in feature engineering and evaluation</li><li>Ensure scalability in the VC IT landscape</li></ul>Insight generation and decision support<ul><li>Translate analytical results into clear, actionable insights for business stakeholders</li><li>Provide data-driven recommendations to improve products, processes, and decision-making processes</li></ul>Deployment, monitoring, and adoption<ul><li>Contribute to the deployment of models into production environments in collaboration with data engineers.</li><li>Monitor performance of deployed models and suggest improvements or retraining when needed.</li><li>Drive the adoption across the organization</li></ul>Cross-functional collaboration<ul><li>Work closely with product teams, process team etc. to provide business analysts and domain expertise, align data science solutions with business needs.</li><li>Communicate complex findings to both technical and non-technical audiences</li></ul>Continuous learning and innovation<ul><li>Stay up to date with advances in machine learning, AI and data tools, and proactively introduce relevant methods</li><li>Participate in peer reviews and knowledge-sharing sessions to strengthen the team’s data science capabilities</li></ul>Data ethics and compliance<ul><li>Apply responsible data practices, ensuring compliance with data protection, regulations and ethical AI guidelines</li></ul><h1>Qualifications:</h1>Educational Background:•&nbsp;Currently pursuing or recently completed a degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.•&nbsp;&nbsp;Strong academic performance with relevant coursework in machine learning, artificial intelligence, and data analytics.Technical Skills:•&nbsp;&nbsp; Programming(Must): Proficiency in Python, with experience in data processing libraries (e.g., Pandas, Numpy, Matplotlib, Seaborn).•&nbsp;&nbsp;Machine Learning(Better): Familiarity with machine learning algorithms (e.g., regression, classification, clustering) and libraries like Scikit-learn, TensorFlow, or PyTorch.•&nbsp;&nbsp;&nbsp;Data Management: Experience with SQL and handling structured/unstructured data.•&nbsp;&nbsp;&nbsp;AI Frameworks(Better): Basic understanding of neural networks and deep learning concepts.Analytical Skills:•&nbsp;&nbsp;Strong problem-solving abilities with attention to detail.•&nbsp;&nbsp;&nbsp;Ability to analyze large datasets and extract meaningful insights.Soft Skills:•&nbsp;&nbsp;Communication(Must): Good communication skills(both English and Chinese) for presenting data findings and collaborating with team members.•&nbsp;&nbsp; Data ethics and compliance: Apply responsible data practices, ensuring compliance with data protection regulations and ethical AI guidelines•&nbsp;&nbsp;Eagerness to learn and adapt in a fast-paced environment.&nbsp;Preferred Experience (welcome):•&nbsp;&nbsp; Experience with cloud platforms (AWS, GCP, or Azure) for data science projects including VM and deployment.•&nbsp;&nbsp;&nbsp;Participation in hackathons or relevant personal projects demonstrating data science/AI expertise.•&nbsp;&nbsp;Knowledge of data visualization tools like Tableau or Power BI.•&nbsp;&nbsp;Part design and FEA•&nbsp;&nbsp;&nbsp;LLM related expertise e.g. fine-tuning, prompt engineering or RAGThe Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.Vibracoustic (Wuxi) Vibration Isolators Co. Ltd.

AI Intern

About the Job

About the Company

Freudenberg

Similar Jobs

Machine Learning Engineer (m/f/d)

Machine Learning Engineer (m/f/d)

Junior Data Scientist (6-month Internship) 2025-2026

Junior Data Scientist (6-month Internship) 2025-2026

Data Science Intern

Data Science Intern

Data Science Intern

Data Science Intern

R&D Engineer for Applied AI/ML

R&D Engineer for Applied AI/ML

Intern, IT

Intern, IT

AI Intern - Summer 2026

AI Intern - Summer 2026

Data Engineering Intern

Data Engineering Intern

Manager of AI & Analytics Engineering

Manager of AI & Analytics Engineering

Senior Data Scientist - AI Core

Senior Data Scientist - AI Core