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Intern Data Science

vor 2 Wochen

München, Deutschland BMW Vollzeit

**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 - 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.
- Furthermore, you independently create advanced analytics methods, implement Data Science use cases and Machine Learning models, 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.
- To 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 will be also part of your tasks.
- To explore potential Generative AI projects and develop proof-of-concepts as relevant rounds off your exciting job field.

**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 programming languages (i.e., Python, SQL, PySpark) and frameworks such as Scikit-Learn, TensorFlow, and PyTorch.
- Knowledge of Cloud-Architecture and Data Engineering systems (i.e., AWS, 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.
- Flexible working hours.
- Digital offers & mobile working.
- Attractive remuneration.
- And many other benefits - see **bmw.jobs/benefits**

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 02/01/2025

Duration: 6 months

Working hours: Full-time

Contact:
BMW Group HR Team
+49 89 382-17001

Intern Data Science - Web & Commerce Analytics (f/m/x)

20241115

Automotive
- München
- Deutschland

Unternehmensbereich:

- BMW AG

Standort:
München

Arbeitsbereich:
Data Science

Job ID:
145997

Veröffentlichungsdatum:
15.11.2024

Praktikum/Abschlussarbeit

FullTime