Praktikum bei Münchener Rückversicherungs-Gesellschaft Aktiengesellschaft in München in München
Eingestellt am 23.07.2024
Intern Artificial Intelligence (m/f/d)*
Location: Munich
Are you passionate about Machine Learning and eager to develop cutting-edge AI solutions that shape the future of Munich Re and the insurance industry? Do you thrive on learning and tackling new technical challenges in a business context? If so, this internship is perfect for you!
The Data and Analytics division (DAA1) is Munich Re's hub for data, analytics, and AI-driven innovation. DAA1 leverages big data, advanced analytics, and artificial intelligence to drive decision-making and enhance operational efficiency. Within DAA1, the Artificial Intelligence department focuses on developing and deploying AI technologies across Munich Re's operations, including machine learning, natural language processing, predictive analytics, and AI-driven automation to optimize decision- making, customer experiences, and risk management. We collaborate closely with other business units, providing AI expertise, tools, and support.
Your job
• Join our AI department as an intern,
supporting our highly motivated and ambitious
teams. Contribute hands-on to the development and
continuous improvement of our internal AI products
and platforms. Collaborate closely with our team
of AI experts and stakeholders throughout Munich
Re’s reinsurance business.
• Depending on your individual experience
and preferences, you'll be embedded in one of our
project teams with various focus areas. Your
day-to-day activities may include system and
requirements design, code implementation, testing
and continuous integration, infrastructure and
deployment, user research, evaluation and
analytics, data curation, technology consulting,
or integration of cutting-edge academic
research.
Your profile
• Master’s studies (or final year of
Bachelor's studies) with a strong academic record
in a quantitative field like Computer Science,
Data Science, Mathematics, Statistics,
Engineering, or a related discipline
• Excellent communication and organization
skills; highly motivated with a hands-on
mentality.
• Demonstrated programming experience in
python and first experiences with DevOps
best-practices (e.g. Git, unit testing).
• A strong foundation, both in theory and
practice, in one or more of the following areas:
Deep Learning (e.g. neural network architectures
and training techniques, Natural Language
Processing, Computer Vision), Machine Learning
Operations (e.g.
evaluation and monitoring of machine
learning systems regarding performance, fairness,
trustworthiness, concept drift, …), and/or Large
Language Models and Generative AI (e.g. prompt
engineering and orchestration, RAG techniques,
agentic workflows, fine-tuning, evaluation, and/or
deployment of foundation models).
• Additional experience in related areas
such as business analytics, web and app
development (especially backend engineering),
cloud computing platforms, containerization
technologies, CI/CD, or other data science and
engineering fields is a plus.
• You are available for an internship
duration of 6 months or longer. If desired,
part-time work can be arranged after an initial
full-time period of at least 3 months. Please note
that this is an on-site role at our Munich
offices. Limited remote work will be
possible depending on project needs.
Students from countries outside the EU require a German residence-/work permit.
About us
As the world's leading reinsurance company
with more than 11,000 employees at over 50
locations, Munich Re introduces a paradigm shift
in the way you think about insurance. By turning
uncertainty into a manageable risk we enable
fundamental change. Join us working on topics
today that will concern society tomorrow, whether
that be climate change, major construction
projects, medical risk assessment or even space
travel. Together we embrace a culture where
multiskilled teams dare to think big. We create
the new and the different for our clients and
cultivate innovation. Sounds like you? Push
boundaries with us and be part of Munich Re. Our
employees are our greatest strength. That’s why we
offer them a wide range of benefits.
Unlock your potential
• Diversity, Equity & Inclusion: we
embrace the power of differences and are convinced
that diversity fosters innovation and resilience
and enables us to act braver and better.
• Continuous Learning: we believe that
continuous learning is a key differentiator and
critical for building new skills and accelerating
growth.
• Career Mobility: we actively support
career mobility, and our strong global and
regional presence offers a wealth of career growth
opportunities for you.
Münchener Rückversicherungs-Gesellschaft
Silke Rößler/Oksana Kern • Coordination
Students Program Königinstraße 107 • 80802 München
• GERMANY
* Munich Re not only stands for fairness with regard to its clients; it is also an equal opportunities employer. Severely disabled candidates will also be prioritized, if equally qualified.
Anhang HerunterladenKeine Angabe
Keine Angabe
München (Deutschland)
Deutsch, Englisch
Elektrotechnik und Informationstechnik, Informatik, Informatik - Bioinformatik, Informatik - Games Engineering, Informatik - Informatik, Informatik - Wirtschaftsinformatik, Mathematik
Münchener Rückversicherungs-Gesellschaft Aktiengesellschaft in München
Königinstraße 107
80802 München, Deutschland
Silke Rößler
Alumni & Career übernimmt keine Gewähr für die Inhalte dieser Stellenanzeige. Sehen Sie ein Problem mit dieser Stellenanzeige? Melden Sie es uns!