Data Scientist: Analytics, Automation & AI

PM Consulting; Mandaluyong; On-site; PHP 600,000 - 1,000,000; Full time

Job summary

PM Consulting in the Philippines is seeking a Data Scientist to blend analytics, statistics, and coding into reliable data and model solutions. You will work with data, product, engineering, and business teams to improve quality, enable analytics use cases, and advance governance and automation.

Responsibilities include EDA, model validation, data onboarding, and translating findings into actionable business insights.

Qualifications

• Bachelor's or Master's in a quantitative field is required.
• 2+ years of relevance in data science, analytics, or governance.
• Strong Python and SQL skills with version control know-how.
• Solid grasp of statistics, EDA, and ML basics.

Responsibilities

• Analyze complex datasets and develop data and model solutions aligned to business needs.
• Perform exploratory data analysis, statistics, and model validation.
• Support data governance activities including data onboarding and quality.
• Translate complex findings into clear business insights for stakeholders.
• Collaborate with data, product, engineering, and business teams.
• Identify opportunities for automation and operational efficiency.
• Maintain code quality, documentation, and reproducibility standards.
• Communicate risks and limitations of models clearly.
• Manage project deliverables and coordinate with stakeholders to meet deadlines.

Skills

Python

SQL

Machine Learning

Statistics

Data Governance

Data Visualization

Project Management

Communication

Git

Education

Bachelor's or Master's degree in Data Science / related quantitative field

Tools

Git

Job description

PM Consulting in the Philippines is seeking a Data Scientist to blend analytics, statistics, and coding into reliable data and model solutions. You will work with data, product, engineering, and business teams to improve quality, enable analytics use cases, and advance governance and automation.

Responsibilities include EDA, model validation, data onboarding, and translating findings into actionable business insights.