Allianz

As the Data Science Specialist at Allianz Partners – Global Health Operations, you will play a crucial role in supporting the Data leadership team shape the company's strategic data science projects. Promote development of innovative data-driven solutions that support our business objectives and its implementation across AP International Health business units and entities. The successful candidate will have a deep understanding of data science and machine learning techniques and will be responsible for developing and implementing a data science strategy that aligns with our overall business goals.

KEY RESPONSIBILITIES

• Develop and communicate project roadmaps for data science projects and strategy that aligns with business goals and objectives
• Proactively identify opportunities and provide recommendations to improve operational efficiencies and implement scalable solutions
• Ensure the project team and the resulting project output comply with regulatory, ethical and legal needs
• Design, manage and evangelize effective agile workflows
• Work closely with stakeholders to identify business problems that can be solved using data science techniques and develop solutions that deliver business value
• Work closely with the Strategic Data Insight Project Manager to identify areas suitable for process streamlining and automation with the use of Data Tools.
• Work closely with the Data Insight and Reporting Managers to identify opportunities for predictive insight analytical models.
• Have a good understanding of operational business stream and underlying profitability drivers and leverage those to provide meaningful recommendations to Operation Leadership & Management.
• Contribute to the development and refinement of Allianz Partners – Global Health vision and strategy by providing accurate and reliable reporting to Operation Leadership.
• Develop and test architectures that enable data extraction and transformation for predictive and prescriptive modeling
• Facilitate building of data systems and pipelines
• Support the Data Intelligence and Data Insights Team through implementing methods to improve data reliability, quality and accessibility
• Monitor project progress, proactively addressing any risks or challenges that may arise, and implementing corrective actions when necessary to ensure successful project delivery.
• Stay up-to-date with industry trends, tools, and technologies in the field of Data Science, Big Data and Artificial Intelligence with applications to the business
• May require visiting and working closely with Allianz Partners – Global Health Operating Entities to carry out project and reporting requirements.

PROFILE KEY REQUIREMENTS

• Bachelors in Mathematics, Statistics, Finance or Data Science, Master’s Degree is an advantage;
• Minimum 3 years’ relevant experience in Analytics or Data Science or Project Management Role
• Strong understanding of Data Science techniques and tools, including Machine Learning, statistical modeling and data visualization
• Strong business acumen and experience applying data science solutions to solve business problems
• Full English proficiency is required.
• Excellent interpersonal communication and negotiation skills; ability to deal with customers and business partners in a professional manner.
• Proven ability to manage projects, budgets and timelines effectively
• Good interpersonal skills in order to work in a team environment and interact with employees at all levels.
• Excellent organizational skills in order to successfully prioritize tasks and monitor performance to ensure benchmarks are consistently met. Able to meet tight deadlines.
• Good problem solving skills and decision making skills to demonstrate the ability to think, produce, and effectively execute well-constructed, creative, documented recommendations and solutions.
• Strong work ethics to commit the time and effort needed to successfully achieve the goals.
• Customer focused and service oriented to ensure quality services are provided at all times
• Can work onsite in Makati for the first 4-6 months of tenure. Hybrid after