Working student - AI & Resilience Analytics (m/f/d)

Job Level: Apprenticeship / Dual Studies

Location:

München, DE, 81737 Unterföhring (bei München), DE, 85774

Area of Expertise: Data & AI

Unit: Allianz Commercial

Employing Entity: Allianz Global Corporate & Specialty SE

Job Type: Part-Time

Remote Job: Hybrid working

Employment Type: Temporary

ID: 105795

Position Cluster: n.a.

Let’s care for tomorrow.

Your ambitions. Your dreams. Your tomorrow

Whether it’s aircraft, international business or offshore wind parks, Allianz Commercial has an extensive range of risks covered when it comes to protecting businesses.

We are looking for a Working Student – AI & Resilience Analytics to join our Allianz Risk Consulting team in Munich, Germany.

Your Team

You will join the Allianz Risk Consulting (ARC) team, a specialist group that helps global corporate clients understand and manage complex risks through expert advice, data-driven insights, and innovative services. We work across topics such as climate adaptation, extreme heat, supply chain resilience, operational resilience, and emerging risks, in close collaboration with risk engineering, underwriting, and claims colleagues.

This is an opportunity to apply data science, AI, and advanced analytics to real-world resilience challenges. You will contribute to client projects and service innovation, working with experienced risk experts and gaining exposure to how analytical solutions are developed and implemented for multinational companies.

The Impact You Will Have

As a Working Student in AI & Resilience Analytics, you will help turn claims, climate, operational, and external data into practical risk insights. You will develop analytical outputs and decision-support tools, and explore how AI can strengthen risk assessment and resilience services. Your work will contribute to client solutions and next-generation analytics capabilities.

Responsibilities:

Analyze claims, loss, climate, operational, and resilience data to identify trends, risk drivers, vulnerabilities, and opportunities for risk reduction.
You will help prepare industry risk profiles, benchmarking materials, and research summaries for internal and client-facing use.
Apply data and AI-supported methods, including natural language processing, to extract insights from claims narratives and other unstructured information for resilience outcomes.
Develop clear visualizations, analytical outputs, and decision-support tools for service development and client deliverables.
Develop AI prompt libraries and analytical workflows, and explore suitable machine learning applications to improve insight generation, efficiency, and consistency.
You will help review data quality and availability, making sure inputs are reliable and well documented.
You will assist in preparing early-stage risk engineering and resilience materials before client meetings.
You will support the tracking of client feedback and help improve reports, templates, and deliverables over time.

What You’ll Bring

You are currently enrolled in a Master’s programme or PhD, ideally in data science, statistics, mathematics, actuarial science, climate science, environmental engineering, geospatial analysis, supply chain analytics, or a related quantitative field. Enrollment is required for the full duration of the role.
You enjoy working with data, asking questions, and turning information into clear and practical insights.
You have practical experience with Python and data analytics, and are comfortable working with structured data. Experience with machine learning, geospatial analysis, or supply chain analytics is highly desirable.
You are curious about statistical modelling, data visualization, natural language processing, or how large language models can support business tasks.
You are interested in learning more about risk, insurance, resilience, and the practical use of AI in a business environment.
You can communicate clearly in English and are comfortable explaining ideas, findings, or questions to different colleagues.
You are open to using AI tools responsibly to support daily tasks, improve efficiency, and explore new ways of working.
You are reliable, well organized, and motivated to learn while contributing to meaningful team projects.
Nice to have: Research, thesis, publication, consulting, or internship experience related to risk, resilience, supply chains, AI, data science, geospatial analysis, insurance, or corporate risk analytics.

Further Information

Duration: at least 6 months (preferably longer).
Working hours: 20 hours/week or 38 hours/week.
Enrollment at a university or college is a prerequisite for the duration of employment.

What’s in it for you?

Let’s care about everything that makes you, you

We are committed to nurturing an inclusive environment where everyone feels they belong. We offer a hybrid working model, which recognizes the value of striking a balance between in-person collaboration and remote working. Please feel free to discuss flexible working arrangements with us.

Let’s care for your financial wellbeing

We believe in rewarding performance with a great compensation and benefits package (details vary by location), including a generous bonus scheme and pension.

Let’s care for your opportunities to progress

From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered.

Let’s care for life’s twists and turns

From our support for flexible working, health and wellbeing (including private healthcare and generous parental leave benefits), to helping people return from career breaks with experience that nothing else can teach. We've got your back.

Let’s care for our society and our planet

With opportunities to be engaged in shaping a future that is safe, inclusive and sustainable, we care for the tomorrows of our people, our industry and our clients.

Care to join us?

Allianz Commercial is the center of expertise of Allianz Group, insuring mid-sized businesses, large enterprises, and special risks. Our customers include top consumer brands, financial institutions, industry leaders, the global aviation and shipping industries, as well as family-owned and medium-enterprises. We also cover unique risks such as offshore wind farms, infrastructure projects and film productions. Our clients trust us to provide a wide range of traditional and alternative risk transfer solutions, outstanding risk consulting and multinational services, and seamless claims handling. Allianz Commercial helps customers to prepare for what's ahead.

Learn more about careers at Allianz Commercial by clicking here.

Learn more about Allianz Commercial by clicking here.

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. And the foundation for this is our inclusive workplace, where people and performance both matters, and nurtures a culture grounded in integrity, fairness, inclusion and trust.

We therefore welcome applications regardless of 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.

People with disabilities:
We want to give all our candidates the best opportunity to succeed.  If you need any adjustments to be made during the application and selection process, please email agcsglobalcareers@allianz.com

Recruitment Agencies: 
Allianz Commercial has an in-house recruitment team, which focuses on sourcing great candidates directly.  Allianz Commercial does not accept unsolicited resumes from agency or search firm recruiters.  Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired.  When we do use agencies, we have a PSL in place, so please do not contact managers directly. Failure to comply could/may result in the disqualification of the candidates and/or the termination of our contract and/or fees not being paid.

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