About Us / Who you will join:
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.
Key responsibilities / You will get to:
* Support the design and implementation of emerging technologies, including Generative AI, LLMs, Process Mining, Task Mining, and Web3.
* Provide productivity & AI advisory services to clients in the areas of Data & AI Strategy, Data Foundations, and Data & AI Solution Development, under the guidance of experienced team members.
* Collaborate with business and technology stakeholders to gather requirements, develop tailored solutions, and drive tangible results.
* Contribute to business development efforts, including client pitches and proposals.
* Play an active role in internal capability building, community engagement, and knowledge sharing within Allianz Services.
* Collaborate with key Allianz innovation entities such as Group Data Analytics, and external institutions, e.g., universities and start-ups to develop, validate, and scale innovative pilots.
Key requirements/What we hope you bring:
* Initial experience through internships or working student roles in strategy or IT consulting, IT-/AI-companies, relevant academic research or in a related role within a global organization
* Master’s degree in Management & Technology, Business Administration, or a STEM field, ideally with a focus on analytics, data science, or computer science
* Fluent in English; German at B2 level or higher is a strong advantage
* Solid advisory fundamentals: structured thinking, analytical mindset, and clear communication
* Practical experience with BI tools and technologies such as Power BI, Python, SQL, or similar
* Curiosity and/or experience in emerging tech like Generative AI, LLMs, Process Mining, Task Mining, or Web3
* Proactive mindset with a can-do attitude, creativity, and enthusiasm for new ideas
* Excellent communication and presentation skills, both in team settings and client-facing situations
* Team player with a strong sense of responsibility and commitment to project success
* Insurance industry experience is a plus, but not required – we support your learning and development from day one
Did we spark your interest? Apply now and join us. Let's care for tomorrow.
*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.*
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72603 | Inhouse Consulting | Entry Level | Allianz Services | Full-Time | Permanent
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 diverse and inclusive workforce and are proud to be an equal opportunity employer. We 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 ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Join us. Let's care for tomorrow.