Data Scientist – Junior / Mid / Senior

Globetec Solutions; Taguig; Hybrid; PHP 700,000 - 1,100,000; Full time

Job summary

Globetec Solutions in Manila/Taguig is building a Data Science team and seeks junior to senior data scientists to develop scalable AI-enabled solutions using NLP, LLMs, and RAG.

You will work with Operations, Tech, and Engineering to deliver end-to-end ML projects and productionize AI models in a hybrid work setup (3 days onsite / 2 days WFH).

Qualifications

• 0–2 years of experience for Junior Data Scientist.
• 3–5 years of relevant experience for Data Scientist.
• 6–8 years of relevant experience for Senior Data Scientist.

Responsibilities

• Develop data acquisition, cleaning, transformation and processing workflows.
• Build, train, test and deploy machine learning and deep learning models.
• Work with NLP, LLMs and RAG.
• Work with large structured, semi-structured and unstructured datasets.
• Develop data pipelines and AI-driven solutions.
• Apply techniques such as web scraping, entity extraction and document processing.
• Collaborate with Engineering, Technology, Operations and cross-functional teams.
• Support cloud-based development, MLOps and CI/CD practices.
• For senior positions, contribute to technical direction, AI model optimization and mentoring.

Skills

Python

NLP

LLMs / Generative AI

RAG

SQL

PySpark

ML/DL

Job description

Data Scientist – Junior / Mid / Senior

Leading Global Financial Information & Analytics Institution | Taguig, Philippines
Full-time | Hybrid | 4 Vacancies

About the Role

A leading global financial information and analytics institution is building a new Data Science team in Metro Manila as part of its global expansion.

We are looking for Data Scientists at different levels to develop scalable, data-driven solutions using modern AI and machine learning technologies.

We Are Hiring For

• Junior Data Scientist – 1 position | 0–2 years’ experience

• Data Scientist – 1 position | 3–5 years’ experience

• Senior Data Scientist – 2 positions | 6–8 years’ experience

The team works closely with Operations, Technology, Engineering and other teams to develop enterprise-ready data and AI solutions.

Key Responsibilities

Depending on your level, you will:

• Develop data acquisition, cleaning, transformation and processing workflows

• Build, train, test and deploy machine learning and deep learning models

• Work with Natural Language Processing (NLP), Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)

• Work with large structured, semi-structured and unstructured datasets

• Develop data pipelines and AI-driven solutions

• Apply techniques such as web scraping, entity extraction and document processing

• Collaborate with Engineering, Technology, Operations and cross-functional teams

• Support cloud-based development, MLOps and CI/CD practices

• For senior positions, contribute to technical direction, AI model optimization and mentoring

What We’re Looking For

Core skills:

• Python

• NLP

• LLMs / Generative AI

• RAG

• SQL

• PySpark

• Machine Learning / Deep Learning

Additional experience with AWS/Azure, MLOps, CI/CD, TensorFlow, PyTorch and data management tools is advantageous.

Experience Requirements

Junior Data Scientist

• 0–2 years of experience in data science, analytics or statistical modelling

• Strong foundation in Python, machine learning, NLP, LLMs and RAG

Data Scientist

• 3–5 years of relevant experience

• Hands-on experience developing machine learning/deep learning models, including NLP, LLMs and RAG

Senior Data Scientist

• 6–8 years of relevant experience

• Strong experience developing and productionizing AI models

• Hands-on experience with NLP, LLMs and RAG

• Ability to collaborate across teams and support technical development

Compensation will vary depending on the role level, experience and qualifications of the successful candidate.

Work Arrangement

Location: Manila, Philippines
Work Setup: Hybrid – minimum 3 days onsite / 2 days WFH

Why Join?

Join a new Data Science team in Manila and work with modern AI, machine learning and data technologies within a global organization.