Senior Data Scientist — AI/GenAI Production Solutions

EY; Philippines; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

EY, a leader in building a better working world, invites you to join the GDS Consulting team in the Philippines as a Senior Data Scientist / AI Engineer. You will deliver machine learning and AI solutions across a mixed project portfolio, spanning classical ML, generative AI, and agent-based AI, from design to deployment and ongoing improvement.

You’ll design, develop, and operate ML systems with reproducibility and observability, while communicating technical outcomes to business and governance

Qualifications

• Strong Python engineering with production code practices.
• Hands-on Databricks experience (DLT, Unity Catalog, MLflow, model serving).
• Practical expertise in time-series/statistical diagnostics and model validation.
• Experience deploying and operating ML systems with reproducibility, observability, and controls.
• Ability to communicate technical model outcomes to business and governance audiences.

Responsibilities

• Design and develop machine learning models and AI applications, including generative AI and agent-based solutions.
• Work with data and AI platforms to build, integrate, and refine models and AI components, ensuring solutions are scalable and maintainable.
• Implement appropriate ML, GenAI, or agentic approaches depending on the problem, and improve existing AI systems.
• Contribute to the delivery of AI solutions by applying MLOps / LLMOps practices such as deployment, versioning, monitoring, and continuous improvement.
• Deliver practical, high-quality AI solutions that create measurable business value.

Skills

Python

Databricks

Time-series

MLOps

Communication

Tools

pandas

NumPy

scikit-learn

statsmodels

Job description

EY, a leader in building a better working world, invites you to join the GDS Consulting team in the Philippines as a Senior Data Scientist / AI Engineer. You will deliver machine learning and AI solutions across a mixed project portfolio, spanning classical ML, generative AI, and agent-based AI, from design to deployment and ongoing improvement.

You’ll design, develop, and operate ML systems with reproducibility and observability, while communicating technical outcomes to business and governance