Data Scientist: Predictive Analytics & ML for Impact

Arch Insurance Group Inc.; Cebu City; On-site; PHP 500,000 - 800,000; Full time

Job summary

Arch Insurance Group Inc. is seeking a Data Scientist to analyze data, build predictive models, and translate insights into business actions. You will partner with analytics and technology teams to deliver data-driven solutions that support strategic objectives.

The role involves developing and validating models, creating dashboards, and communicating findings to both technical and non-technical audiences. A strong foundation in statistics and programming is essential.

Qualifications

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, Actuarial Science, or a related quantitative field.
• Foundational knowledge of data analysis, statistics, and programming.
• Experience with machine learning, predictive analytics, or data visualization.

Responsibilities

• Analyze structured and unstructured data to identify trends, patterns, risks, and opportunities.
• Develop predictive, statistical, and analytical models to support business objectives.
• Build, validate, and deploy machine learning and data science solutions.
• Translate complex business requirements into analytical frameworks and actionable recommendations.
• Collaborate with business stakeholders, data engineers, analysts, and technology teams.
• Design and execute experiments, hypothesis testing, and advanced analytical studies.
• Develop dashboards, reports, visualizations, and performance measurement frameworks.
• Ensure data quality, accuracy, integrity, and governance compliance.
• Communicate technical concepts and analytical findings to both technical and non-technical audiences.
• Stay informed on emerging technologies, tools, methodologies, and industry best practices in Data Science and Artificial Intelligence.

Job description

Arch Insurance Group Inc. is seeking a Data Scientist to analyze data, build predictive models, and translate insights into business actions. You will partner with analytics and technology teams to deliver data-driven solutions that support strategic objectives.

The role involves developing and validating models, creating dashboards, and communicating findings to both technical and non-technical audiences. A strong foundation in statistics and programming is essential.