Advanced Analytics & Data Science Leader

Sutherland; Taguig; On-site; PHP 1,800,000 - 2,300,000; Full time

Job summary

Sutherland is seeking a highly analytical, business-minded Manager, Advanced Analytics & Data Science to join our growing Analytics organization. This leadership-level individual contributor role is designed for a data science professional who excels at transforming complex data into strategic insights, predictive solutions, and business impact.

In this role, you will work closely with senior stakeholders, leveraging modern analytics platforms, machine learning, statistical modeling, and

Qualifications

• Bachelor's degree in a quantitative discipline is required.
• At least 4 years in Data Science or Advanced Analytics.
• Strong SQL and Python for analysis and model development.
• Experience building predictive and statistical models including forecasting.
• Solid data visualization and BI understanding.
• Experience translating business challenges into analytical solutions.
• Strong problem-solving, presentation, and communication skills.
• Experience using Git or similar version control tools.

Responsibilities

• Perform deep-dive analyses to uncover trends, patterns, opportunities, and risks across business operations.
• Develop descriptive, diagnostic, and predictive analytics to support strategic decision-making.
• Translate complex questions into actionable analytical frameworks and recommendations.
• Deliver executive-level insights through storytelling, visualizations, and presentations.
• Design, build, and deploy predictive models including forecasting, classification, clustering, and recommendations.
• Evaluate model effectiveness and refine solutions to maximize accuracy and value.
• Collaborate with stakeholders to define requirements and translate insights into actions.
• Work with modern data platforms, cloud analytics, and enterprise reporting.

Skills

SQL

Python

Data Visualization

Stakeholder Communication

Predictive Modeling

Forecasting

Model Evaluation

Git

Education

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or related quantitative discipline

Tools

Git

Databricks

Spark SQL/PySpark

Job description

Sutherland is seeking a highly analytical, business-minded Manager, Advanced Analytics & Data Science to join our growing Analytics organization. This leadership-level individual contributor role is designed for a data science professional who excels at transforming complex data into strategic insights, predictive solutions, and business impact.

In this role, you will work closely with senior stakeholders, leveraging modern analytics platforms, machine learning, statistical modeling, and