Assoc Data Scientist III

InterContinental 62s Group plc; Philippines; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

InterContinental 62s Group plc seeks a data analytics professional to drive analytics on the IHG One Rewards program. You will own end-to-end modeling projects, engineer features, and apply rigorous evaluation methods to deliver actionable insights.

You will support A/B testing and translate findings into business-ready summaries for stakeholders. Collaboration across teams and attention to detail are essential.

Qualifications

• Strong SQL and Python for analytics and model development.
• Experience with supervised ML techniques and evaluation metrics.
• Familiarity with cloud ML workflows and code reproducibility.
• Proficiency in communicating analytical results to stakeholders.

Responsibilities

• Develop a strong business knowledge of IHG One Rewards program.
• Execute small to mid-sized modeling or analytics projects end-to-end with light oversight.
• Apply feature engineering and model evaluation best practices.
• Support A/B test setup and results analysis.
• Collaborate with business stakeholders to clarify requirements.
• Prepare clear, business-ready summaries of analytical findings.
• Other job duties as assigned based on focus of the role.

Skills

SQL

Python

Analytical thinking

Communication

Education

Bachelor's degree in CS/Math/Stats or related

Master's degree in Business Analytics/Data Science or related

Tools

Git

Vertex AI pipelines

BigQueryML

Job description

Key Accountabilities

• Develop a strong business knowledge of IHG One Rewards program
• Execute small to mid-sized modeling or analytics projects end-to-end with light oversight
• Apply feature engineering and model evaluation best practices
• Support A/B test setup and results analysis
• Collaborate with business stakeholders to clarify requirements
• Prepare clear, business-ready summaries of analytical findings
• Other job duties as assigned based on focus of the role

Education/ Experience

Bachelor’s degree in Computer Science, Mathematics, Statistics or a closely related quantitative field with 5 or more years of progressive work experience in analytics; or master’s degree in Business Analytics, Data Science or a related field with 3 or more years of progressive work experience in analytics

Technical Skills and Knowledge

• Strong SQL and Python for analytics and model development
• Working knowledge of supervised ML techniques and evaluation metrics
• Experience with version control (Git) and code reproducibility
• Familiarity with cloud ML workflows (GCP Vertex AI pipelines, BigQueryML)
• Strong analytical thinking, problem-solving skills and attention to detail
• Strong written and verbal communication skills