Data Scientist: Forecasting, ML & Decision Analytics

Inchcape; Hinoba-an; On-site; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Supportive Environment

Career Growth

Work-Life Balance

Industry Leadership

Job summary

Inchcape Digital, part of the Inchcape global network, is seeking a Data Scientist in the Philippines to drive commercial and operational decision-making through advanced analytics, ML, forecasting, and optimization solutions.

You will own end-to-end workstreams, assess data readiness, design scalable models, and collaborate with product, data engineering, and MLOps teams. Strong Python/SQL skills and cloud platform experience are required.

Qualifications

• Bachelor's degree or higher in a quantitative field such as CS, stats, math or engineering.
• 2–4 years of experience as a Data Scientist or in a 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/develop forecasting, prediction, optimization, recommendation, and decision-support models.
• Lead model validation activities including backtesting, benchmarking, robustness testing, sensitivity analysis.

Skills

Python

SQL

Statistics

Machine Learning

Forecasting

Optimization

Decision Science

Azure

Databricks

Communication

Education

Bachelor's degree in CS/Statistics/Math/Engineering

Tools

Azure

Databricks

Job description

Inchcape Digital, part of the Inchcape global network, is seeking a Data Scientist in the Philippines to drive commercial and operational decision-making through advanced analytics, ML, forecasting, and optimization solutions.

You will own end-to-end workstreams, assess data readiness, design scalable models, and collaborate with product, data engineering, and MLOps teams. Strong Python/SQL skills and cloud platform experience are required.