BMW - Intern residual value risk management - data science

Deadline: As soon as possible

Internships

Companies

Location(s)

Germany

Munich

Overview

The best internship in theory - and in practice. Share your passion.

Details

World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. 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.

Our team at the BMW Group focuses on global residual value risk management at BMW Financial Services. We are dedicated data scientists who support strategic decisions for the future value of our premium vehicles.

What awaits you?

You will support applying machine learning models to predict future prices of our vehicles on the used car market.
Furthermore, you help to integrate agentic AI into our daily processes.
In addition, you analyze data sets from various markets to derive measures and recommendations for the future.
Moreover, you contribute to the creation of new analysis tools to increase our market insights.
Additionally, you will have the opportunity to learn from and contribute to discussions that shape our global vehicle evaluation.

Opportunity is About

Computers & IT Economics & Business Physics & Math

Show More Show Less

Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

Show More Show Less

Description of Ideal Candidate

What should you bring along?

Studies in computer science, data science, statistics, mathematics, economics or a similar field.
Profound skills in two of the following: Python, R, or SQL with experience in supervised learning algorithms.
Good grasp of statistics and its application in modeling.
Excellent knowledge of the Microsoft Office package.
Motivation to expand your knowledge on global electric car market development.
Analytical thinking and structured mindset.
Excellent English skills in oral and written form; German is a plus.

Would you like to support our team in shaping the future of vehicle value with data-driven insights? Then Apply now!

Dates

Deadline: As soon as possible

Cost/funding for participants

Fully Funded

What do we offer?

Comprehensive mentoring & onboarding.
Personal & professional development.
Flexible working hours.
Mobile work.
Attractive & fair compensation.
Apartments for students (subject to availability & only at the Munich location).
And much more.

+ More Info / Application Save Opportunity

Un-save Opportunity

Report broken link

Thanks! We will fix it in the next few hours!