Senior GIS Data Scientist: Hybrid & Global ML Projects

ERNI; Philippines; Hybrid; PHP 1,653,000 - 3,306,000; Part time

Job summary

ERNI is seeking a senior data scientist/analytics consultant in the Philippines to lead advanced analytics initiatives across MedTech, Industry, Finance and Transportation sectors. The role involves building predictive models, designing dashboards, and guiding stakeholders on analytical best practices.

You will work in a hybrid setup, collaborating with global teams and delivering analytics-ready datasets, model prototypes, and decision-support tools for enterprise use.

Qualifications

• Minimum 8 years of professional experience in data science,advanced analytics, ML, geospatial analytics, or applied statistical modelling.
• Senior-level hands-on experience designing and delivering analytics solutions for enterprise or development contexts.
• Strong experience with Python, SQL, statistical modelling, ML, forecasting, and analytical prototyping.
• Experience with data governance, privacy, security, and explainability in data-sensitive environments.

Responsibilities

• Design analytics-ready datasets, semantic models, KPIs, dashboards, and executive reporting products for business and technical users.
• Develop predictive models, classification models, clustering, anomaly detection, risk scoring, and scenario modelling.
• Support proposal development: review RFPs, draft methodologies, and contribute to resource plans.
• Clarify requirements with stakeholders and translate questions into analytics solutions.

Skills

Data science

Machine learning

Geospatial analytics

Stakeholder communication

Proposal writing

Tools

Python

SQL

Power BI

Azure Data Lake

Microsoft Fabric

Azure Synapse

Job description

ERNI is seeking a senior data scientist/analytics consultant in the Philippines to lead advanced analytics initiatives across MedTech, Industry, Finance and Transportation sectors. The role involves building predictive models, designing dashboards, and guiding stakeholders on analytical best practices.

You will work in a hybrid setup, collaborating with global teams and delivering analytics-ready datasets, model prototypes, and decision-support tools for enterprise use.