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- Aufgaben: Dive into data science with hands-on projects in vehicle testing strategies.
- Arbeitgeber: Join the innovative BMW Group, a leader in automotive excellence.
- Mitarbeitervorteile: Enjoy flexible hours, mentoring, and attractive pay, plus perks for students.
- Warum dieser Job: Be part of groundbreaking research and collaborate with experts in a dynamic environment.
- Gewünschte Qualifikationen: Pursuing a STEM degree with skills in Python, SQL, and data science tools.
- Andere Informationen: Opportunity to work in an international team and learn cutting-edge technologies.
A GOOD INTERNSHIP IS NEVER HANDS OFF.
SHARE YOUR PASSION.
We believe in creating an environment where our interns really can learn by doing and where they are given their own areas of responsibility right from the start of their time with us. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.
We, the BMW Group, offer you an interesting and varied internship in the area of Data Science – Vehicle Testing Strategies.
What awaits you?
- Participation in groundbreaking research at the intersection of Knowledge Graphs, Graph Neural Networks, and data-driven decision making for quality management.
- Opportunity to help working on developing a risk-based vehicle testing strategy, leveraging advanced data analytics and visualization techniques.
- Hands-on experience with Cloud Computing, and its integration with Machine Learning and Data Science workflows.
- Exposure to the entire data science lifecycle, from data preprocessing to model development and deployment, using industry-standard tools like scikit-learn, pandas, NumPy, Matplotlib, and PyTorch,
- Chance to collaborate in an international, English-speaking environment and learn from experienced researchers and engineers.
What should you bring along?
- Technical STEM background, such as Computer Science, Mathematics, Physics, or similar, in the later phase of your Bachelor’s or early Master’s degree.
- Experience with common Data Science and Deep Learning tools and libraries, including scikit-learn, pandas, NumPy, Matplotlib, and PyTorch.
- Proficiency in Python programming and SQL.
- Familiarity with Cloud Computing, particularly AWS, and its services is beneficial.
- Enthusiasm for cutting-edge research and a desire to learn and grow.
- Strong analytical and problem-solving skills, with a structured and data-driven approach.
- Good command of the English language, both written and verbal; knowledge of German is beneficial.
What do we offer?
- Comprehensive mentoring & onboarding.
- Personal & professional development.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive remuneration.
- Apartment offers for students (subject to availability & only Munich).
- And many other benefits – see bmw.jobs/benefits
You are enthused by new technologies and an innovative environment? Apply now!
At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.
Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
Earliest starting date: from 01/20/2025
Duration: 6 months
Working hours: Full-time
Contact:
BMW Group HR Team
+49 89 382-17001#J-18808-Ljbffr
Intern Data Science - Vehicle Testing Strategies (f/m/x) Arbeitgeber: BMW Group
Kontaktperson:
BMW Group HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Intern Data Science - Vehicle Testing Strategies (f/m/x)
✨Tip Number 1
Show your enthusiasm for cutting-edge research! During the interview, share specific examples of projects or technologies that excite you in the field of Data Science. This will demonstrate your passion and fit for the innovative environment at BMW.
✨Tip Number 2
Familiarize yourself with the tools mentioned in the job description, like scikit-learn, pandas, and PyTorch. If you can, work on a small project using these tools to showcase your hands-on experience during discussions with the team.
✨Tip Number 3
Highlight any experience you have with Cloud Computing, especially AWS. Be prepared to discuss how you've used cloud services in your projects, as this is a key aspect of the internship role.
✨Tip Number 4
Since the role involves collaboration in an international environment, practice your English communication skills. Being able to articulate your ideas clearly will help you stand out as a strong candidate who can contribute effectively to the team.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Intern Data Science - Vehicle Testing Strategies (f/m/x)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure you fully understand the responsibilities and expectations of the Intern Data Science position. Highlight your relevant skills and experiences that align with the job description.
Tailor Your CV: Customize your CV to emphasize your technical STEM background, experience with Data Science tools, and proficiency in Python and SQL. Include any relevant projects or coursework that demonstrate your capabilities.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for cutting-edge research and your desire to learn and grow. Mention specific tools and technologies you are familiar with, and how they relate to the internship.
Proofread Your Application: Before submitting, carefully proofread your application materials for any errors or typos. Ensure that your English is clear and professional, as good command of the language is essential for this role.
Wie du dich auf ein Vorstellungsgespräch bei BMW Group vorbereitest
✨Show Your Passion for Data Science
Make sure to express your enthusiasm for data science and vehicle testing strategies during the interview. Share any relevant projects or experiences that demonstrate your passion and how you can contribute to the team.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with tools like scikit-learn, pandas, NumPy, Matplotlib, and PyTorch. Highlight specific instances where you've used these tools in your studies or projects, and be ready to solve a technical problem on the spot.
✨Emphasize Your Analytical Skills
Since the role requires strong analytical and problem-solving skills, come equipped with examples of how you've approached complex problems in the past. Use a structured approach to explain your thought process and the outcomes of your analyses.
✨Prepare for Questions on Cloud Computing
Familiarize yourself with Cloud Computing concepts, especially AWS services, as they are beneficial for this internship. Be ready to discuss any experience you have with cloud platforms and how they integrate with data science workflows.
