Data Science Specialist

Location: Makati
Set-up: Hybrid
Schedule: Day Shift
Salary: 70,000 PHP (Basic)

Key Responsibilities

Develop and communicate project roadmaps for data science projects and strategy that align with business goals and objectives.
Proactively identify opportunities and provide recommendations to improve operational efficiencies and implement scalable solutions.
Ensure the project team and resulting project output comply with regulatory, ethical, and legal requirements.
Design, manage, and advocate for 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.
Collaborate 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.
Develop a strong understanding of operational business streams and 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 accurate and 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 by implementing methods to improve data reliability, quality, and accessibility.
Monitor project progress, proactively addressing risks or challenges, and implementing corrective actions when necessary to ensure successful project delivery.
Stay up-to-date with industry trends, tools, and technologies in 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 fulfill project and reporting requirements.

Behavioral Requirements

Problem-solving skills
Analytical skills
Decision-making skills
Ability to work in a team environment
Excellent time management skills
People and process management

Profile Key Requirements

Bachelor's degree in Mathematics, Statistics, Finance, or Data Science; a Master’s degree is an advantage.
Minimum of 3 years of 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.
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 professionally.
Proven ability to manage projects, budgets, and timelines effectively.
Strong interpersonal skills to work in a team environment and interact with employees at all levels.
Excellent organizational skills to prioritize tasks and monitor performance, ensuring benchmarks are consistently met.
Ability to meet tight deadlines.
Strong problem-solving and decision-making skills to develop, document, and execute well-constructed, creative solutions.
Strong work ethic with a commitment to achieving goals.
Customer-focused and service-oriented to ensure quality services are provided at all times.