Job Description

About us

Allianz Partners is part of Allianz Group and offers B2B2C solutions in the lines of business Travel, Assistance, Mobility & Health. Allianz Partners supports its clients by providing global integrated insurance & service solutions for their customers and employees, based on a deep understanding of the business partners’ value chain. Our ambition is to set the global B2B2C market standard for liaising with global business partners to develop integrated solutions combining insurance, assistance and technology.

In order to support the ambitious growth & profitability targets, Allianz Partners has launched an initiative to enhance our data analytics and AI capabilities. As part of this initiative a team is developing state-of-the-art data-driven solutions across Health Line of business, especially focusing on the underwriting area, in close cooperation with the respective subject matter experts. We are looking for a data scientist with high expertise in data analytics and in machine learning.

What you do

• Utilize your expertise in Python, SQL, and relevant data science libraries to analyze and manipulate data effectively
• Build and optimize data and analytics pipelines, with a focus on scalability and efficiency
• Apply state-of-the-art data science methodologies and machine learning techniques to solve complex business problems, in particular in Underwriting and Pricing Area
• Develop and maintain advanced PowerBI dashboards and reports using DAX functions and complex data modeling
• Develop, test and deploy models of analytical work to production environment utilizing GitHub and established workflows for version control, collaboration, and code management
• Collaborate with cross-functional teams to understand business requirements and translate them into actionable business strategies
• Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations.
• Meet project deadlines and deliverables with a strong commitment to quality and accuracy
• Prospectively:
  • Explore the use of LLMs in underwriting and pricing
  • Leveraging cloud platforms like AWS or Azure to manage and analyze large datasets.
• AI Readiness Work effectively in an environment shaped by artificial intelligence (AI), machine learning, data, analytics and cloud-based tools, using insights responsibly with our standards of data governance, security and ethical use.

What you bring

We encourage you to apply even if you do not meet all requirements below.

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or related field
• Proficiency in Python and SQL, including experience with popular frameworks such as tensorflow, , PyTorch, sklearn, and SQLAlchemy.
• Advanced proficiency in Microsoft PowerBI including complex DAX formula creation and optimization, data modeling and relationship management, custom visualizations and dashboard design
• Proficiency in SQL and, ideally also, NoSQL databases.
• Experience with GitHub and established workflows for version control and collaboration.
• Strong understanding of machine learning (ML) and statistical techniques, with a track record of developing and ideally deploying ML models.

• Knowledge of deep learning and neural networks

• Willingness to take over responsibility, develop concepts and drive models into implementation.
• Experience in working with agile methodologies in a fast-paced, dynamic, and international environment.
• Intercultural sensitivity and international experience.
• Highly developed interpersonal skills (i.e., communication, presentation, and negotiation also with non-technical audiences).

• Previous experience in an (health) insurance industry

• Ability to drive projects with various business stakeholders independently

Additionally preferred qualifications:

• Experience with cloud-based ML platforms (Azure ML, AWS SageMaker, Google AI Platform)
• Familiarity with MLOps practices and model deployment

• Understanding of the LLMs concepts and their application

What we offer

Our employees play an integral part in our success as a business. We appreciate that each of our employees are unique and have unique needs, ambitions and we enjoy being a part of their journey.

We are there to empower and encourage you with your personal and professional development ensuring  that you take control by offering a large variety of courses and targeted development programs. All that in a global environment where international mobility and career progression are encouraged.

Caring for your health and wellbeing is key priority for us. This is why we build Work Well programs to providing you with peace of mind and give the flexibility in planning and arranging for a better work-life balance.

How We Hire

Allianz Partners does not accept unsolicited CV’s or approaches from agencies. We only work with partners on our approved supplier lists, under contract. Any unsolicited submission will not be considered

98708 | Data & AI | Professional | Non-Executive | Allianz Partners | 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.

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 matter, 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.