About the Job
As the Data Science Lead at Allianz Partners – Global Health Operations, you will play a crucial role in shaping the company's strategic data science projects. You will be responsible for the development of innovative data-driven solutions that support our business objectives and implement them across AP International Health business units and entities (including Allianz Care, NextCare, Medi-24, Mawista, and Australia). This role requires a deep understanding of data science and machine learning techniques, as well as the ability to develop and implement a data science strategy that aligns with our overall business goals.
Job Responsibilities
- Develop and communicate project roadmaps for data science projects and strategies that align with business goals and objectives.
- Proactively identify opportunities and provide recommendations to improve operational efficiencies and implement scalable solutions.
- Ensure project team outputs comply with regulatory, ethical, and legal needs.
- Design, manage, and advocate for effective agile workflows.
- Collaborate with stakeholders to identify business problems that can be solved using data science techniques and develop solutions that deliver business value.
- Work with the Strategic Data Insight Project Manager to identify areas suitable for process streamlining and automation using Data Tools.
- Partner with the Data Insight and Reporting Managers to identify opportunities for predictive insight analytical models.
- Understand operational business streams and underlying profitability drivers to provide meaningful recommendations to Operation Leadership & Management.
- Contribute to the development and refinement of Allianz Partners – Global Health vision and strategy by providing reliable reporting to Operation Leadership.
- Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling.
- Facilitate the building of data systems and pipelines.
- Support the Data Intelligence and Data Insights Team in improving data reliability, quality, and accessibility.
- Monitor project progress, proactively addressing risks or challenges as necessary to ensure successful project delivery.
- Stay updated with industry trends, tools, and technologies in Data Science, Big Data, and Artificial Intelligence relevant to the business.
- May require travel and collaboration with Allianz Partners – Global Health Operating Entities for project and reporting requirements.
Key Requirements
- Bachelor’s degree in Mathematics, Statistics, Finance, or Data Science; Master’s Degree is an advantage.
- Minimum 3 years relevant experience in Analytics, Data Science, or Project Management.
- Strong understanding of Data Science techniques and tools, including Machine Learning, statistical modeling, and data visualization.
- Excellent business acumen and experience applying data science solutions to solve business problems.
- Full English proficiency is required.
- Excellent interpersonal communication and negotiation skills to engage with customers and business partners.
- Proven ability to manage projects, budgets, and timelines effectively.
- Strong organizational skills to prioritize tasks and monitor performance.
- Ability to meet tight deadlines.
- Strong problem-solving and decision-making skills to produce well-constructed, creative recommendations and solutions.
- Strong work ethic and commitment to achieving goals.
- Customer-focused and service-oriented approach to ensure quality service.
Key Benefits
Our employees play an integral part in our business success. We offer a variety of courses and development programs to empower you and support your personal and professional growth. Our Work Well programs prioritize your health and well-being, providing flexibility for a better work-life balance. We encourage international mobility and career progression within a global environment.
Allianz Group is one of the most trusted insurance and asset management companies in the world. We believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage applicants from all backgrounds to join us in shaping a better future for our customers and the world.
