Data Scientist

Key Things to Know Before You Apply

• Relocation support is not available for this role.  • If you have been in your current role for less than 12 months or are currently on a Performance Improvement Program (PIP), manager approval is required before applying.  • PMI employees who are directly employed and paid by PMI may apply through the Internal Careers Portal. Non-PMI employees are not eligible for internal roles and may apply for external opportunities via PMI Careers.  • Please refer to the Open Sourcing Employee Guidebook on the Internal Careers Portal for full eligibility requirements.  • For referrals, use the "Refer-A-Friend" button. This role is SG 9 for internal applicants.

As a Data Scientist, you will apply advanced analytics and machine learning techniques to solve business problems, generate insights, and build scalable data solutions. You will work with structured and unstructured data, leverage modern technologies to automate workflows, and deliver impactful outcomes that support business decision-making.

Who We Are Looking For

• Master's degree in Data Science, Computer Science, Statistics, or a related field.  • 3+ years of experience in data science or a related field.  • Proficiency in Python, R, SAS, or Julia.  • Experience with big data technologies (e.g., Spark) and machine learning frameworks such as TensorFlow or PyTorch.  • Hands-on experience with Pandas, NumPy, and Scikit-learn.  • Experience using visualization tools such as Matplotlib, Seaborn, or Plotly.  • Knowledge of Natural Language Processing (NLP).  • Familiarity with Git and cloud platforms such as AWS, Azure, or GCP.  • Strong communication skills with the ability to translate technical concepts into business-friendly insights.  • Experience collaborating with remote technical teams.

How You Can Make History With Us

• Lead end-to-end analytics projects, from business requirements gathering through insight generation and delivery.  • Ensure data quality, accuracy, consistency, and completeness across data processes.  • Develop, train, and deploy machine learning models while optimizing features and model performance.  • Analyze customer and business data to identify trends, behaviors, and opportunities for improvement.  • Maintain documentation of models, experiments, and processes to support reproducibility and knowledge sharing.  • Deliver actionable insights and recommendations that support strategic decisions and process optimization.  • Proactively identify and resolve data-related issues before they impact business operations.

Work Schedule and Location

• Monday to Friday, hybrid work arrangement.  • Based at 8 Rockwell, Makati Head Office.