Data Scientist

About The Company

AXA is a globally recognized leader in the insurance and financial services industry, committed to providing innovative solutions and exceptional customer service. As part of the AXA Group, one of the world's largest insurance companies, AXA operates across multiple regions including Europe, North America, and the Asia-Pacific. In Germany, AXA serves over 8 million customers, offering a broad spectrum of insurance products ranging from life and health to property and casualty insurance. The company's mission is to empower individuals and businesses to live with confidence by delivering tailored risk management solutions, fostering innovation, and maintaining a strong commitment to sustainability and corporate responsibility.

About The Role

In the role of Data Engineer/Scientist within the specialized department, you will bridge the gap between data engineering and data science, combining technical expertise with analytical insights to drive strategic decisions. You will work directly on core business challenges in the insurance sector, collaborating closely with actuaries and modeling experts to develop innovative data-driven solutions. Your responsibilities will include designing, implementing, and maintaining end-to-end data projects, from raw data ingestion to deploying scalable, production-ready models. You will play a vital role in shaping the company's cloud-based data modeling infrastructure, utilizing cutting-edge open-source technologies to enhance data processing and analytics capabilities.

This position offers a unique opportunity to influence business outcomes through advanced data techniques while continuously expanding your technical and domain knowledge in a dynamic environment.

Qualifications

To succeed in this role, you should possess a Master's degree with outstanding academic achievements, preferably complemented by a PhD in a STEM field or a related discipline. You should have advanced proficiency in SQL and experience working with various database systems. A strong enthusiasm for modern technologies such as Python, Docker, Snowflake, and Power BI is essential, along with a solid understanding of AI tools, their applications, and limitations. Analytical thinking and problem-solving skills are crucial, as you will be tackling complex challenges independently. Excellent communication skills are necessary to convey technical concepts clearly and effectively to both technical teams and executive management. Fluency in German and English, both written and spoken, is required to facilitate seamless collaboration across teams and regions.

Responsibilities

• Design, develop, and operate comprehensive data projects, ensuring seamless integration from raw data to deployable solutions.
• Select appropriate technologies and tools for data science applications, designing scalable architectures and continuously optimizing them.
• Build and enhance the cloud-based data modeling infrastructure, ensuring robustness, scalability, and security.
• Utilize and customize open-source technologies to meet project-specific needs, fostering innovation and efficiency.
• Collaborate closely with cross-functional teams, including actuaries, data scientists, and IT specialists, to align data initiatives with business goals.
• Stay abreast of emerging trends in data science and engineering, pursuing ongoing professional development and certifications.
• Contribute to the development of best practices, documentation, and knowledge sharing within the team and organization.
• Participate in international networks of software engineers and data scientists to exchange insights and foster innovation.

Benefits

• Flexible working arrangements, including up to 60% remote work and flexible hours within a 6-21 clock framework, supported by a Gleitzeitkonto.
• Generous leave policy with 30 vacation days, additional days off during Christmas and New Year, as well as special leave for personal occasions.
• Access to subsidized fitness programs, company sports clubs, and comprehensive health management initiatives promoting well-being.
• Retirement planning options through company pension schemes, asset-building benefits, and opportunities to become an AXA shareholder, along with discounted employee insurance rates.
• Financial incentives such as Christmas and holiday bonuses, profit-sharing schemes, and discounts on popular brands and technology products.
• Support for mobility needs, including bike leasing, public transportation subsidies, ample parking, and direct access to public transit.
• Career development opportunities through training programs, e-learning platforms, coaching, performance reviews, and continuous education initiatives.

Equal Opportunity

At AXA, we are committed to fostering an inclusive and diverse workplace where all individuals are valued and respected. We welcome applications from people of all backgrounds, regardless of gender, ethnicity, sexual orientation, disability, or other personal characteristics. Our hiring process is designed to be fair and accessible, and we actively encourage candidates with disabilities to apply. We believe that diverse teams drive innovation and help us better serve our customers and communities. Join us in shaping the future of insurance through your talent and perspective.