Strategic Analytics Lead: AI, ML & Data Science

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

Job summary

Sutherland seeks a highly analytical, business-minded Manager, Advanced Analytics & Data Science to lead data-driven insights and predictive solutions. You’ll partner with senior leaders to improve operations, customer experience, and revenue through AI-powered analytics.

Responsibilities include deep-dive analyses, building forecasting and classification models, and translating questions into actionable frameworks.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or a related quantitative discipline.
• At least 4 years of experience in Data Science, Advanced Analytics, Business Analytics, or a related field.
• Strong expertise in SQL and Python for data analysis and model development.
• Experience building predictive and statistical models, including forecasting, regression, classification, and segmentation.
• Solid understanding of data visualization and business intelligence concepts.
• Experience working directly with business stakeholders and 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 solutions to support strategic decision-making.
• Translate complex business questions into actionable analytical frameworks and recommendations.
• Deliver executive-level insights through compelling storytelling, visualizations, and presentations.
• Design, build, and deploy predictive models, including forecasting, classification, clustering, and recommendation models.

Skills

SQL

Python

Predictive modeling

Statistical modeling

Data visualization

Stakeholder management

Communication

Git

Education

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

Tools

Databricks

Spark SQL

PySpark

Job description

Sutherland seeks a highly analytical, business-minded Manager, Advanced Analytics & Data Science to lead data-driven insights and predictive solutions. You’ll partner with senior leaders to improve operations, customer experience, and revenue through AI-powered analytics.

Responsibilities include deep-dive analyses, building forecasting and classification models, and translating questions into actionable frameworks.