Data Science Manager — ML & Analytics Lead (Contract, PH)

Nicoll Curtin; Metro Manila; On-site; PHP 1,339,000 - 2,009,000; Part time

Job summary

Nicoll Curtin, a global payments technology leader, seeks an experienced Data Scientist for a contract role based in the Philippines. You’ll develop analytics, ML models, and dashboards.

You’ll work with large datasets, turn data into business insights, and collaborate with stakeholders using Agile practices. Requirements include 5+ years in data science, degree in quantitative field, and proficiency in Python, SQL, Hadoop/Spark/SAS, Tableau or Power BI.

Qualifications

• 5+ years of experience in data science and analytics.
• Degree in quantitative field such as Mathematics, Statistics, Data Science, Engineering, or CS.
• Strong experience with Python, SQL, and tools like Hadoop, Spark, or SAS.
• Knowledge of ML techniques including regression, clustering, classification, Random Forest or SVM.
• Proficiency in Tableau or Power BI.
• Strong project management, communication, and teamwork skills with Agile/Scrum familiarity.

Responsibilities

• Develop and implement advanced analytics, statistical, and ML models.
• Work with large datasets to uncover insights and support decisions.
• Build dashboards and visualizations using Tableau or Power BI.
• Translate complex data into practical client solutions.
• Improve code, automate recurring tasks, and optimize analytics processes.
• Lead project delivery, document technical work, and share knowledge with stakeholders.

Skills

Python

SQL

Tableau

Power BI

Data analysis

Communication

Education

Bachelor's degree in Mathematics/Statistics/Data Science/Engineering/Computer Science

Tools

Hadoop

Spark

SAS

Job description

Nicoll Curtin, a global payments technology leader, seeks an experienced Data Scientist for a contract role based in the Philippines. You’ll develop analytics, ML models, and dashboards.

You’ll work with large datasets, turn data into business insights, and collaborate with stakeholders using Agile practices. Requirements include 5+ years in data science, degree in quantitative field, and proficiency in Python, SQL, Hadoop/Spark/SAS, Tableau or Power BI.