Junior Data Scientist - Credit Risk & Predictive Analytics

COPIAS DataTech Solutions (CDTS)

Metro Manila

Hybrid

PHP 279,000 - 670,000

Full time

7 hours ago
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Benefits offered by this job

Flexible schedule
Hybrid work arrangement
HMO coverage
Exposure to financial analytics
Professional development

Job summary

COPIAS DataTech Solutions (CDTS) in Metro Manila is seeking a Junior Data Scientist to support credit risk modeling and predictive analytics. Fresh graduates or candidates with 1–3 years of experience are welcome to apply.

You will assist in developing models, performing EDA, and preparing analyses for clients and internal teams. A hybrid work setup is offered with opportunities for professional growth.

Qualifications

  • Open to fresh graduates or candidates with 1–3 years of relevant experience in Data Science or related fields.
  • Experience or exposure to credit risk modeling, credit scoring, or loan analytics is advantageous.
  • Strong foundation in statistics and data analysis is required.

Responsibilities

  • Support development of credit risk and financial analytics models.
  • Assist in developing, testing, and improving data science solutions.
  • Perform data preparation, cleaning, and exploratory data analysis (EDA).
  • Analyze datasets to identify patterns and insights for business decisions.
  • Develop and validate statistical and machine learning models.
  • Document datasets, methodologies, and model results for internal and client use.

Skills

Strong analytical skills
Statistics background
Data interpretation
Communication skills

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science

Tools

Python
R

Job description

COPIAS DataTech Solutions (CDTS) in Metro Manila is seeking a Junior Data Scientist to support credit risk modeling and predictive analytics. Fresh graduates or candidates with 1–3 years of experience are welcome to apply.

You will assist in developing models, performing EDA, and preparing analyses for clients and internal teams. A hybrid work setup is offered with opportunities for professional growth.

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