Working Student

84499 | Data & AI | Student | n.a. | Allianz Services | Part-Time | Temporary

Allianz Services is proud to serve and be part of Allianz Group, one of the world's leading insurers and asset managers. Our global footprint, with more than 7,300 employees located across ten countries and four continents, enables us to unlock value for our partners across the insurance value chain and deliver superior client experience within Allianz Group. At Allianz Services, we have a strong specialization in core insurance operations, shared services, business analytics, engineering, and management consulting. Our people and our trusted relationships with partners are what matter most. These are rooted in our values of compassion, integrity, and expertise and we strive to continuously evolve, improve, and deliver excellence while contributing successfully to the transformation of Allianz. Caring actively for the environment, for people, and for our customers is what makes us a great place to work and together we are shaping a better and more caring tomorrow.  

Allianz Services is a company which belongs to the legal entity, Allianz Technology SE.  

Department Description & Job Purpose

Allianz Services is a subsidiary of the Allianz Group, focused on providing specialized services that support the operations and strategic goals of Allianz and its clients. As an integral part of the Allianz Group, Allianz Services plays a crucial role in driving efficiency, innovation, and excellence across various business functions.
In the AI Acceleration group, we are seeking a motivated and talented Working Student to join our Application Development team, focusing on Generative AI, Natural Language Processing (NLP), Machine Learning, and Deep Learning. This is an exciting opportunity to gain hands-on experience in a fast-paced environment, working on innovative projects that have a real impact on the business.

Key responsibilities:

•    Assist in the design, development, and implementation of AI-driven applications and solutions.

•    Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.

•    Support the development and optimization of NLP models and algorithms to enhance language understanding and processing capabilities.

•    Contribute to the creation and training of machine learning models, ensuring high accuracy and performance.

•    Participate in the development of deep learning architectures for complex data analysis and pattern recognition tasks.

•    Conduct research on emerging technologies and methodologies in AI, NLP, machine learning, and deep learning to drive innovation.

•    Assist in the testing and validation of developed applications to ensure quality and reliability.

•    Document processes, methodologies, and findings to support knowledge sharing and continuous improvement.

Key requirements:

•    Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Artificial Intelligence, or a related field.

•    Strong understanding of AI, NLP, machine learning, and deep learning concepts and techniques.

•    Proficiency in programming languages such as Python, Java, or C++.

•    Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).

•    Familiarity with NLP tools and libraries (e.g., spaCy, NLTK, Hugging Face Transformers).

•    Experience in MS Power BI is a plus.

•    Excellent problem-solving skills and ability to work independently and collaboratively in a team environment.

•    Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

•    Passion for technology and innovation, with a keen interest in AI and its applications.

You can start immediately and are interested in a working student position for 6 months part-time h/week)

What we offer:

•    Opportunity to work on cutting-edge projects and technologies in a global organization

•    Mentorship and guidance from experienced professionals in the field

•    An attractive monthly salary

•    To work in a modern and open space office located in Munich

•    Flexible working hours

•    A student discount in our outstanding canteen

•    Free LinkedIn Learning Account and many other opportunities to develop new skills

•    A big student community with many options for networking

•    A highly talented, dynamic and international team

•    Job opportunities in a global company

Important to know

We can only consider your application if you provide the following documents:

•    Certificate of enrollment (exception gap year)

•    Valid Work and residence permit (for non-EU citizens). 

Please check before applying if you can work with your current VISA.

We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team.

If you already have international experience, speak German or other languages, we would love to hear more

#LI-AT2

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 

We at Allianz believe in a strong inclusive culture that encourages people to speak their minds, get involved and question the status quo. We are proud to be an equal opportunity employer and encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love, or what you believe in. We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability, sexual orientation, or any other characteristics protected under applicable local laws and regulations.

Join us. Let's care for tomorrow.