Data Scientist - Forecasting, ML & Strategic Insights

Inchcape Retail Chile; Taguig; On-site; PHP 900,000 - 1,600,000; Full time

Benefits offered by this job

Career Growth

Work-Life Balance

Industry Leadership

Supportive Environment

Job summary

Inchcape Digital in the Philippines invites a Data Scientist to turn data into actionable insights. You’ll own end-to-end data science workstreams, develop models for forecasting, optimization, and decision support, and partner with Product, Data Engineering, and MLOps teams to deploy and monitor solutions.

The role requires a BS or higher in CS/Stats/Engineering, 2-4 years in analytics, and strong Python/SQL skills with cloud experience (Azure/Databricks). Excellent communication is a plus.

Qualifications

• BS 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.

Responsibilities

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

Skills

Python

SQL

Statistics

Machine Learning

Forecasting

Optimization

Communication

Education

Bachelor's degree in CS/Math/Engineering

Tools

Azure

Databricks

Job description

Inchcape Digital in the Philippines invites a Data Scientist to turn data into actionable insights. You’ll own end-to-end data science workstreams, develop models for forecasting, optimization, and decision support, and partner with Product, Data Engineering, and MLOps teams to deploy and monitor solutions.

The role requires a BS or higher in CS/Stats/Engineering, 2-4 years in analytics, and strong Python/SQL skills with cloud experience (Azure/Databricks). Excellent communication is a plus.