Intern Data Science - Digital Product Offering (F/M/X)

Key Skills

Algorithms, Apache Airflow, AWS, Azure, JavaScript, Kotlin, MLflow, Python Programming, PyTorch, Scikit-learn, SQL, TensorFlow

Job Description

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. And 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 - digital product offering.

To take our digital products to the next level, the BMW GROUP's analytics team for digital product offerings is looking for a data science intern to empower BMW's product teams with actionable data insights. As an intern, you will be part of a network of analysts who support cross-functional agile product teams designing, developing, operating, and optimizing products with data, tools, and analytics.

What awaits you?

• By joining BMW GROUP's analytics team for digital product offerings, you will gain extensive insights into a globally operating network.
• You support our team in deriving recommendations for actions to improve our digital products and the overall digital product portfolio.
• You will leverage the underlying usage data for generating actionable insights for the product teams.
• You independently create advanced analytics methods, implement Data Science and Machine Learning use cases.
• You will handle datasets with several terabytes in size, using cloud technologies (e.g. AWS, PySpark)
• You will be an integral team member, responsible for various projects, and your contribution will directly impact our products.
• You will act as a consultant recommending the latest trends in the Data Science field and work with other top consultancies to help build in-house competencies.
• Explore potential Generative AI projects and develop proof-of-concepts as relevant.

What should you bring along?

• Currently enrolled full-time in an undergraduate or graduate program at an accredited college or university studying Computer Science, Statistics, Informatics, Data Science (Master's Degree preferred), or similar programs or in a Gap Year.
• Proven experience as a Data Scientist, Data Analyst, Data Engineer, or similar role.
• Strong mathematical and statistical skills, with the ability to analyze, interpret, and handle complex and very large data sets.
• Knowledge of programming languages (e.g., Python, SQL, PySpark, Kotlin, JavaScript) and frameworks such as Scikit-Learn, TensorFlow, and PyTorch.
• Knowledge of Cloud-Architecture and Data Engineering systems (i.e., AWS, Azure, Palantir Foundry, Spark) and ML Ops Frameworks (I.e., MLFlow, Airflow) is beneficial.
• Experience in E-Commerce platforms such as Google & Adobe Analytics is a plus.

Note: Please include your GitHub Account in your CV if you should have one.

What do we offer?

• Comprehensive mentoring & onboarding.
• Personal & professional development.
• Work-Life-Balance & flexible working hours.
• Attractive remuneration.
• Apartment offers for employees (only Munich).
• And many other benefits - see 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.