Junior Data Scientist

Copias DataTech Solutions OPC; Pasig; Hybrid; PHP 300,000 - 540,000; Full time

Benefits offered by this job

Annual leave

Company events

Flexible schedule

Flextime

Health insurance

Pay raise

Opportunities for promotion

Work from home

Job summary

Copias DataTech Solutions OPC is seeking a Junior Data Scientist to support predictive analytics and credit risk modeling initiatives.

You will perform data preparation, exploratory data analysis, and develop and evaluate statistical and machine learning models for business and client needs.

Candidates with fresh grads or 1–3 years of relevant experience are welcome; strong analytical, communication, and teamwork skills are important in a fast-paced startup environment.

Qualifications

• Fresh graduates are welcome to apply.
• 1–3 years of relevant experience encouraged.
• Experience or exposure to credit risk modeling or financial data is a strong advantage.
• 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.

Responsibilities

• Support development of models related to credit risk and financial analytics.
• Assist in developing, testing, and improving data science and predictive modeling solutions.
• Perform data preparation, cleaning, transformation, and EDA.
• Analyze datasets to identify patterns and insights for business decisions.
• Assist in developing and validating statistical and machine learning models.
• Perform model evaluation using appropriate metrics.
• Prepare data, results, and documentation for internal and client-facing use.
• Collaborate with Data Analysts, Product/Project Management, and other stakeholders.
• Help troubleshoot model and data-related issues and improve existing models.
• Research relevant data science and industry practices.
• Maintain documentation of datasets, methodologies, experiments, and results.
• Support other data analytics and machine learning initiatives.

Skills

Analytical skills

Problem solving

Communication skills

Data interpretation

Statistics basics

ML concepts

Data visualization

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Technology, Engineering, or a related quantitative field

Tools

Data visualization tools

Job description

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

Experience or exposure tocredit risk modeling, credit scoring, loan analytics, or financial datais a strong advantage.

We are open tofresh graduateswho have a strong academic foundation and genuine interest in Data Science, Statistics, Mathematics, or a related field. We also encourage candidates with1–3 years of relevant experience to apply.

Location:Hybrid
Employment Type:Full-Time
Experience Level:Junior Level | 1–3 years of experience
Open to:Fresh Graduates

Key Responsibilities

• 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.

Strong Advantage

Candidates with any of the following knowledge or exposure will have an advantage:

• Credit Risk Modeling

• Credit Scoring / Scorecard Development

• Loan or Credit Analytics

• Financial Services / Lending / Microfinance Data

• Risk Analytics

• Predictive Modeling

• Model Validation and Performance Monitoring

• Experience working with financial or credit-related datasets

Qualifications

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

• Fresh graduates are welcome to apply.

• Preferably 1–3 years of experience in Data Science, Data Analytics, Machine Learning, Statistical Modeling, or a related role.

• 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.

Why Join Us?

You'll have the opportunity to work on actual data science and predictive analytics projects, collaborate with technical and business teams, and gain exposure to how data-driven solutions are developed and applied in real-world business environments.

For the right candidate, this role can provide a strong foundation for building a career in Data Science, Machine Learning, and Credit Risk Analytics.

Let’s build something amazing together!

Job Types: Full-time, Permanent

Benefits:

• Annual leave

• Company events

• Flexible schedule

• Flextime

• Health insurance

• Pay raise

• Opportunities for promotion

• Work from home

Schedule:

• 8-hour shift

• Day shift

• Monday to Friday

Supplemental Pay:

• 13th-month salary

• Overtime pay

• Performance bonus

Work Location: WFH, Hybrid