München, Germany
Actively hiring, first seen by us 3 days agoEmployment type in the employer’s posting: PermanentFrom the employer’s posting
Translate business needs from AIM teams and vendors into technical solutions
Take responsibility for AI, GenAI and analytics workstreams from concept to implementation
Develop and enhance applications as part of the engineering team
Run workshops and town halls to drive GenAI adoption across AIM
Contribute to AI and analytics governance and evaluate emerging technologies
translate business requirements into technical solutions
take responsibility for defined workstreams and present results and recommendations to AIM management
Develop and enhance applications as part of the engineering team
Support GenAI adoption across AIM by developing training and enablement formats such as workshops and town halls
Contribute to AIM’s AI and Analytics governance in line with regulatory and Allianz Group requirements and evaluate emerging technologies and use cases
Key requirements/skills/ experience • Up to 5 years of professional experience in a technical role, ideally at the intersection of business and technology • Master’s degree in computer science, data science, (financial) mathematics, business informatics or a related field • Strong Python skills and hands-on experience with GenAI applications, such as LLMs, RAG or agent frameworks, as well as data engineering and analytics • Experience with Azure or AWS and containerized applications such as Docker or Kubernetes; Infrastructure as Code, e.g. Terraform, is a plus • Strong analytical and problem-solving skills combined with effective communication and stakeholder management • Knowledge of investment or risk management and AI governance or regulation, e.g. the EU AI Act, is a plus • Fluent English; German is a plus What we offer
From the employer’s posting.
Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 3
Early. Similar jobs usually come down between day 8 and day 60.
At Allianz Insurance, jobs usually come down by about day 3.
From 11,783 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.
65 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Key requirements/skills/ experience • Up to 5 years of professional experience in a technical role, ideally at the intersection of business and technology • Master’s degree in computer science, data science, (financial) mathematics, business informatics or a related field • Strong Python skills and hands-on experience with GenAI applications, such as LLMs, RAG or agent frameworks, as well as data engineering and analytics • Experience with Azure or AWS and containerized applications such as Docker or Kubernetes; Infrastructure as Code, e.g. Terraform, is a plus • Strong analytical and problem-solving skills combined with effective communication and stakeholder management • Knowledge of investment or risk management and AI governance or regulation, e.g. the EU AI Act, is a plus • Fluent English; German is a plus What we offer
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New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job purpose/role
Allianz Investment Management (AIM) is the internal investment manager of the Allianz Group. We develop and implement the investment strategy for Allianz insurance entities worldwide and manage the risk-return profile of the Group’s investment portfolio in a sustainable and responsible way.
Within AIM, the Digital Solutions for Investment (DSI) team develops and delivers digital, data and AI solutions supporting teams across the global investment value chain. In your role, you will work closely with internal and external stakeholders to translate business needs into practical technical solutions. You will combine hands-on development with project coordination and stakeholder collaboration, contributing to the development, implementation and adoption of AI, GenAI and analytics solutions across AIM.
Key responsibilities
• Work with stakeholders across AIM, external vendors and other Allianz entities to identify use cases and translate business requirements into technical solutions
• Contribute to AI, GenAI, analytics and data projects from concept to implementation, take responsibility for defined workstreams and present results and recommendations to AIM management
• Develop and enhance applications as part of the engineering team, turning ideas and prototypes into practical solutions
• Support GenAI adoption across AIM by developing training and enablement formats such as workshops and town halls
• Contribute to AIM’s AI and Analytics governance in line with regulatory and Allianz Group requirements and evaluate emerging technologies and use cases
Key requirements/skills/ experience
• Up to 5 years of professional experience in a technical role, ideally at the intersection of business and technology
• Master’s degree in computer science, data science, (financial) mathematics, business informatics or a related field
• Strong Python skills and hands-on experience with GenAI applications, such as LLMs, RAG or agent frameworks, as well as data engineering and analytics
• Experience with Azure or AWS and containerized applications such as Docker or Kubernetes; Infrastructure as Code, e.g. Terraform, is a plus
• Strong analytical and problem-solving skills combined with effective communication and stakeholder management
• Knowledge of investment or risk management and AI governance or regulation, e.g. the EU AI Act, is a plus
• Fluent English; German is a plus
What we offer
109279 | Finance & Accounting | Professional | | Allianz Investment Management | 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.
We are united by a shared commitment: to put our customers first and at the centre of everything we do. Their needs inspire our thinking and guide our actions.
Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us. At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all.
The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.
We therefore welcome applications regardless of race, ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations.
Join us. Let’s care for tomorrow.
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München, Germany
- A broad range of learning opportunities will help you staying relevant in your current role and growing into future workplace demands - An open and international working environment with a diverse and inclusive culture will inspire your everyday work. A working model which balances remote and office based work will give you the flexibility to organize the way you work. - A company pension scheme, well-being initiatives, sports offers and other local benefits will allow you achieving a positive work life balance
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