Data Scientist — Forecasting, ML & Decision Support

Inchcape Digital; Metro Manila; On-site; PHP 900,000 - 1,350,000; Full time

Benefits offered by this job

Supportive Environment

Career Growth

Work-Life Balance

Industry Leadership

Job summary

Inchcape Digital in Metro Manila is seeking a Data Scientist to turn data into actionable insights and build scalable data science solutions that drive commercial and operational decisions. You will develop forecasting, optimization, and decision-support models and collaborate with cross-functional teams.

The role emphasizes translating business challenges into practical analytics, mentoring junior data scientists, and communicating results to both technical and non-technical stakeholders.

Qualifications

• Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 2-4 years of experience as a Data Scientist or similar analytics role.
• Strong knowledge of statistics, ML, forecasting, optimization, and decision science methods.

Responsibilities

• Own end-to-end data science workstreams translating business challenges into analytical and ML solutions.
• Assess data readiness, modeling feasibility, risks, and constraints before development.
• Design and develop forecasting, prediction, optimization, and decision-support models.
• Lead model validation activities including backtesting, benchmarking, and robustness testing.
• Partner with Product, Data Engineering, and MLOps to support deployment and monitoring.

Skills

Python

SQL

Statistics

Machine Learning

Forecasting

Optimization

Decision Science

Azure

Databricks

Education

Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Engineering

Tools

Azure

Databricks

Job description

Inchcape Digital in Metro Manila is seeking a Data Scientist to turn data into actionable insights and build scalable data science solutions that drive commercial and operational decisions. You will develop forecasting, optimization, and decision-support models and collaborate with cross-functional teams.

The role emphasizes translating business challenges into practical analytics, mentoring junior data scientists, and communicating results to both technical and non-technical stakeholders.