Hybrid Data Scientist - ML & Databricks Expert

Insight Enterprise; Manila; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible location

HMO on Day 1

Job summary

Insight Enterprise is seeking a Data Scientist to join the AI Development team. You will build and evaluate ML models, work with hyperscale platforms, and support model deployment across finance, HR, operations, and ecommerce domains.

Expect to collaborate with data engineers and product teams, perform EDA with PySpark/SQL, and apply MLOps practices using MLflow. Hybrid work setup and global impact opportunities are offered.

Qualifications

• Minimum 3 years of experience as a Data Scientist with a portfolio of completed projects.
• Programming: Expert proficiency in Python with core data science libraries (Pandas, scikit-learn, NumPy).
• Data Platform: Hands-on experience with Databricks, includingPySpark, MLflow, and Databricks Workflows.
• SQL: Strong SQL skills for data exploration and feature engineering.
• ML Fundamentals: Solid understanding of machine learning algorithms, model evaluation, and statistical methods.
• Communication: Excellent written and verbal English communication skills; ability to present technical findings to diverse audiences.
• Collaboration: Comfortable working in Agile teams alongside engineers and product stakeholders.
• Nice to Have: Experience with LLM evaluation/fine-tuning; familiarity withPowerBI; background in a quantitative field (CS, Statistics, Mathematics).

Responsibilities

• Develop and validate machine learning models (regression, classification, time-series forecasting) to solve enterprise business problems using Databricks and Python.
• Support AI Developers with model evaluation, fine-tuning experiments, and performance benchmarking for LLM-based applications.
• Perform exploratory data analysis using PySpark and SQL to uncover insights, validate hypotheses, and inform product decisions.
• Design and manage features using the Databricks Feature Store; ensure consistency and reusability across projects.
• Champion MLOps best practices using MLflow for experiment tracking, model versioning, and registry management.
• Communicate findings and model performance clearly to both technical and non-technical stakeholders.
• Collaborate with Data Engineers, AI Developers, and Product Owners to productionize models and integrate data science outputs into AI applications.

Skills

Python

Databricks

PySpark

SQL

ML Fundamentals

Model Evaluation

English Communication

Agile

LLM Evaluation

PowerBI

Tools

Databricks

PySpark

MLflow

Databricks Workflows

Job description

Insight Enterprise is seeking a Data Scientist to join the AI Development team. You will build and evaluate ML models, work with hyperscale platforms, and support model deployment across finance, HR, operations, and ecommerce domains.

Expect to collaborate with data engineers and product teams, perform EDA with PySpark/SQL, and apply MLOps practices using MLflow. Hybrid work setup and global impact opportunities are offered.