Calibration Process Data Science Intern (8 months/40 hours per week)

Bosch; Farmington Hills (MI); On-site; USD 20,000 - 31,000; Full time

Job summary

Bosch invites a Data Science Intern to join the Calibration Engineering group in Farmington Hills, MI, focusing on the Power Solutions team. You will gain hands-on experience applying analytics and ML techniques to automotive applications. An eight-month project will be defined in advance by your Engineering Mentor.

You will work with experienced data scientists and engineers to explore data, build models, and deliver data-driven insights in a collaborative, mentor-guided environment.

Qualifications

• Data exploration and analysis of large datasets, applying statistical methods.
• Develop and implement ML models for automotive applications.
• Build predictive models to forecast outcomes and optimize processes.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• 8-month internship project defined in advance by the Engineering Mentor.

Responsibilities

• Explore and analyze large datasets to identify patterns and insights.
• Develop and evaluate ML models for powertrain-related challenges.
• Forecast outcomes and optimize processes using data-driven approaches.
• Collaborate with stakeholders and software developers on data-focused solutions.

Skills

Data exploration

Machine learning

Predictive modeling

Data mining

Cross-functional collaboration

Job description

Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Lets grow together, enjoy more, and inspire each other. Work #LikeABosch

• Reinvent yourself: At Bosch, you will evolve.
• Discover new directions: At Bosch, you will find your place.
• Balance your life: At Bosch, your job matches your lifestyle.
• Celebrate success: At Bosch, we celebrate you.
• Be yourself: At Bosch, we value values.
• Shape tomorrow: At Bosch, you change lives.

Come Join us in Farmington Hills, MI and learn how we work #LikeABosch!

If you'd like to learn more about Bosch, click here:
Bosch Mobility | Let's shape a new era of mobility. Together. | Careers at Bosch USA

Bosch | Invented for Life | Careers at Bosch USA

Job Description

The internship will be from either January - August 2027, or May - December 2027.

This internship takes place in Farmington Hills, Michigan, the headquarters of Bosch North America, in the Calibration Engineering group of Power Solutions.

The successful candidate will be given an 8 -month project, that has been defined in advance by their Engineering Mentor.

As a Data Science Intern at Bosch, you will have the opportunity to work on innovative projects and gain hands-on experience in the field of data science focused on automotive applications. You will be part of a dynamic team, supporting experienced data scientists and engineers to solve real-world automotive powertrain problems using advanced analytics and machine learning techniques. Your responsibilities may include:

• Data Exploration and Analysis: Collect, clean, and analyze large and complex datasets to identify patterns, trends, and insights. Apply statistical methods and data visualization techniques to communicate findings effectively.
• Machine Learning Development: Develop and implement machine learning models, algorithms, and statistical techniques to solve specific business challenges. This may involve tasks such as data preprocessing, feature engineering, model training, and evaluation.
• Predictive Modeling and Optimization: Build predictive models to forecast future outcomes and optimize business processes. Apply regression, classification, clustering, and other machine learning techniques to solve problems related to demand forecasting, anomaly detection, quality improvement, etc.
• Data Mining and Pattern Recognition: Discover meaningful patterns, correlations, and relationships in large datasets. Use techniques like association rules, clustering, and dimensionality reduction to uncover insights and generate actionable recommendations.
• Collaborative Problem-Solving: Work closely with cross-functional teams, including business stakeholders and software developers, to understand requirements and develop data-driven solutions. Collaborate effectively, share knowledge, and contribute to the overall success of the projects.