Intern Data Science - Web & Commerce Analytics (f/m/x)
THIS MUCH DOING ISN'T DOABLE AT JUST ANY COMPANY.
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 - Web & Commerce Analytics.
To take our operations to the next level, the BMW GROUP's - Web & Commerce Analytics department is looking for a Data Science intern to empower BMW's Websites and E-Commerce platforms. 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's Web & Commerce team, you will gain extensive insights into a globally operating analytics team.
You support our team in deriving recommendations for actions to improve our websites and find opportunities to create immediate value by building data-driven solutions.
You independently create advanced analytics methods, implement Data Science and Machine Learning use cases, and conduct ML Ops approaches such as version control, model deployment, and monitoring.
Perform predictive analytics to analyze patterns and trends in website traffic and revenue and identify opportunities for optimization.
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, Machine Learning Engineer, or similar role.
Strong mathematical and statistical skills, with the ability to analyze, interpret, and handle complex and large data sets (millions of rows).
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.
You enjoy learning new things and broaden your horizon? 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.