Internship in Data Scientist starting from October 2023

Becoming part of Mercedes-Benz means finding your individual role and workspace to unleash your talents to the fullest. It means becoming your best self in a global automotive company that has the goal to build the most desirable cars in the world. Empowered by visionary colleagues who share the same pioneering spirit. Together for excellence.

Mercedes-Benz Mobility at a Glance
With around 10,000 employees, Mercedes-Benz Mobility AG specialises in financial and mobility services. The products range from financing, leasing, vehicle subscriptions, rental and fleet management to digital services for charging and payments, as well as insurance and innovative mobility services.

Mercedes-Benz Mobility is a division of Mercedes-Benz Group AG, which also includes the vehicle manufacturer Mercedes-Benz AG, one of the largest suppliers of premium and luxury passenger cars and vans. As a financial services provider, Mercedes-Benz Mobility supports sales of the Mercedes-Benz Group’s automotive brands worldwide. In Germany, Mercedes-Benz Bank AG, as part of Mercedes-Benz Mobility AG is one of the leading vehicle financing banks and offers around one million customers financial flexibility as well as deposit business and fixed-interest-rate accounts in the direct banking business.

Flexible mobility offers such as Mercedes-Benz Rent or EQ subscriptions, enable an uncomplicated and flexible entry into e-mobility, complementing the service portfolio. With its subsidiary Athlon, Mercedes-Benz Mobility is present in Europe in operational fleet management and vehicle leasing and is responsible for around 400,000 vehicles.

In addition, Mercedes-Benz Mobility investments in the market for urban mobility services: The joint ventures FREE NOW, SHARE NOW and CHARGE NOW combine solutions for ride-hailing and multi-modal mobility, car sharing and electric vehicle charging. At the same time, the portfolio also includes StarRides – a limousine transport service joint venture in China – and the participation in the Berlin chauffeur service Blacklane.

Mercedes-Benz Mobility lives diversity and inclusion
Diversity and inclusion are not only a concern of ours, we actively shape them. Employees from 100 different nations enrich our culture. Through numerous initiatives, we promote intercultural understanding, respect for one another, openness and willingness to change within the company, as well as non-profit organizations that are committed to this.

Data, Analytics & BI

The Data, Analytics & BI department at Mercedes-Benz Mobility is the central hub for all data related activities such as data-science, data-management, data-governance, data-quality and data-platform. The department provides E2E data solutions along with guidance on data compliance related topics. The department enables numerous cross-organizational projects that focus on digitizing business processes and/or setting up fully data-driven business models. The department plays a crucial role in achieving the broader company strategy and is spearheading the data-driven transformation of Mercedes-Benz Mobility.

The Advanced Analytics & Data-driven Solutions team is part of the Data, Analytics & BI department. The aim of this team is to develop and deploy profit generating data-science use-cases within various business units of our organization . The team consists of data scientists, IT specialists and project managers .

Scope of this internship :

This internship will provide the intern a fantastic opportunity to get first-hand experience of developing and deploying an industry grade data science solution. The intern will have complete freedom to research, explore and implement his/her own novel solution all the while being continuously guided and supported by a senior data scientist from the team. The scope of the internship is vast, and the intern will get exposure to a wide array of activities including data cleaning, data engineering, data modeling and data visualization.

This internship will provide the intern a platform to develop not only his/her technical skills but also his/her communication and stakeholder management skills. The intern will be in close communication with business counterparts to understand their requirements and expectations. The intern should then translate these business requirements into technical implementation. The technical implementation involves developing a machine learning/statistical model that can generate relevant predictions of appropriate quality.

A can-do attitude combined with a learning-by-doing mindset will put the intern on a guaranteed path to success in this internship. To put it succinctly, this internship will be a wholesome, fun filled, learning experience.

Your tasks will be :

As a data science intern, you will be responsible for solving a business problem-statement using data science methods and machine learning models You will communicate and collaborate with subject matter experts from various business units to understand the problem statement, requirements, and expectations As part of this internship, you will be responsible for deploying an end-to-end machine learning solution, starting from data onboarding to prediction delivery You will collaborate with other data scientists and data engineers in the team to co-create and develop a machine learning solution of the highest quality You will use interactive visualizations to enable business counterparts to understand and use model predictions

Education: Degree in Computer Science, Mathematics, Physics, Statistics, Engineering or a related field Very good python programming skills Ability to work with code versioning tools such as GitHub Sound theoretical and practical understanding of machine-learning models and frameworks such as scikit-learn, pandas, HyperOpt is a MUST Firm grasp over mathematical and statistical concepts used in data science is a MUST Working knowledge of PySpark would be a definite plus Working knowledge of DataFactory, DataBricks, PowerBI and MLflow would be a huge advantage Very good English language skills

Soft skills:

Ability to take ownership over his/her tasks and goals A can-do attitude combined with a learning-by-doing approach Very good communication skills to interact both with business and technical stakeholders Ability to explain complex technical topics in an easy-to-understand manner Strong motivation to work with a customer-centric mindset Flexibility and adaptability to work in a dynamic , international and interdisciplinary team A curious mindset combined with a capability to think analytically

Additional information:

It doesn’t work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.

Please find the criteria of employment "here" .

Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.

We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: sbv@ mercedes-benz.com

Please understand that we no longer accept paper applications and that there is no right to get your documents returned.

If you have any questions regarding the application process, please contact HR Services by e-mail at hrservices@mercedes-benz.com or the "Chat-Bot" on our career page via the speech bubble symbol at the bottom right.