Junior Data Scientist

COPIAS DataTech Solutions (CDTS); Metro Manila; Hybrid; PHP 279,000 - 670,000; Full time

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

We are looking for a Junior Data Scientist to join our growing team and support the development of data-driven solutions, particularly in predictive analytics and credit risk modeling.

We are open to fresh graduates who have a strong academic foundation and genuine interest in Data Science, Statistics, Mathematics, or a related field. We also encourage candidates with 1–3 years of relevant experience to apply.

Experience or exposure to credit risk modeling, credit scoring, loan analytics, or financial data is a strong advantage.

WHAT YOU’LL BE DOING

• Support the development of models related to credit risk, credit scoring, customer behavior, and other financial analytics .
• Assist in developing, testing, and improving data science and predictive modeling solutions based on business and client requirements.
• Perform data preparation, cleaning, transformation, and exploratory data analysis (EDA).
• Analyze datasets to identify patterns, trends, relationships, and insights that can support business decisions.
• Assist in developing and validating statistical and machine learning models.
• Perform model evaluation using appropriate statistical and machine learning metrics.
• Prepare data, analysis results, model outputs, and documentation for internal and client-facing use.
• Work closely with Data Analysts, Product/Project Management, and other stakeholders throughout the project lifecycle.
• Assist in troubleshooting model and data-related issues and participate in improving existing models and processes.
• Research relevant data science, machine learning, and industry practices.
• Maintain proper documentation of datasets, methodologies, assumptions, experiments, and model results.
• Support other data analytics and machine learning initiatives as assigned.

WHAT WE’RE LOOKING FOR

Education

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.

Experience

• Open to fresh graduates or candidates with 1–3 years of relevant experience in Data Science, Data Analytics, Machine Learning, Statistical Modeling, or a related field.
• Experience or academic exposure to predictive analytics, machine learning, or statistical modeling through professional work or academic projects.
• Familiarity with credit risk modeling, credit scoring, financial analytics, or loan portfolio analysis is an advantage .
• Hands-on experience with data analysis, model development, or related research through internships, thesis, capstone projects, or other academic work.

Other skills

• Strong analytical and problem-solving skills.
• Good understanding of statistics, probability, and basic machine learning concepts.
• Comfortable working with data and interpreting analytical results.
• Familiarity with data visualization tools or libraries is an advantage.
• Good communication skills and ability to explain technical findings clearly and understandably.
• Willingness to learn, collaborate, and work in a fast-paced startup environment.

What We Offer

• Competitive monthly salary based on qualifications and experience.
• Flexible schedule and hybrid work arrangement.
• HMO coverage and company benefits.
• Exposure to actual financial analytics and credit risk projects.
• Opportunities to work with technical and business professionals.
• Professional development and continuous learning opportunities.

Why Join CDTS?

At CDTS, we work on technology-driven solutions that help businesses improve their operations and make informed decisions.

You will have the opportunity to work on practical analytics engagements involving financial data, lending operations, credit risk assessment, and predictive modeling.

Join a collaborative and growing team where your analytical skills can contribute to meaningful business solutions.