Intern (m/f/d) for AI and Data Analysis in Vehicle Lab
Hannover Admin, Germany
Clarios
Clarios creates the most advanced battery technologies for nearly every type of vehicle. We are a global leader in advanced energy storage solutions.For our location in Hanover we are looking for you as an
Intern (m/f/d) for AI and Data Analysis in Vehicle Lab
During your at least four months internship, you will gain a variety of insights into our vehicle lab and support our team in day-to-day business and exciting projects.
You will be responsible for the following tasks:
Developing and analyzing algorithms for predicting battery start capability using AI methods (Artificial Intelligence/Machine Learning)
Programming algorithms in a Snowflake environment
Conducting statistical analysis of field/battery data and presenting collected insights
Analyzing the interaction between the battery and vehicle electronics
Creating technical reports and presentations based on collected results
Supporting the execution of measurement experiments for vehicle diagnostics
There is the possibility to combine this internship with a thesis project.
Your qualifications:
Studies in the field of engineering or a comparable course of study
Proficient in programming, especially in SQL and Python
Very good analytical skills, independent work style, and high initiative
You are able to grasp complex relationships and think in a structured manner
Very good knowledge of German and English (other languages are an advantage)
Knowledge in the field of data analysis, dashboard development with e.g. Microsoft Power BI is desirable
Your advantages:
As a powerful market leader, we offer people with drive and power many good reasons to come to us:
Working in an international environment with valuable practical experience
A modern work atmosphere, flexible working hours, and responsible tasks
Free space for your ideas and initiatives
Use of the company's own fitness studio
Grants for canteen meals
Please upload your application preferably to our career portal or send it to us by e-mail to hannover-ausbildung@clarios.com. We will be happy to provide you with preliminary information
at +49 511 38782668.
#LI-MF1
About Clarios:
Clarios is the global leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus – advancing best-in-class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. Clarios is a Brookfield portfolio company. You can find more information here (PDF).
To all recruitment agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.
Clarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non-discrimination. If you are an individual with a disability and you require an accommodation during the application process, please email Special.Accommodations@Clarios.com.
A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.
Tags: Data analysis Engineering Machine Learning Power BI Python Snowflake SQL Statistics
Perks/benefits: Career development Flex hours Team events
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