At Padra, we empower financial and credit institutions to make smarter, faster, and more reliable decisions through data. We believe that great data science starts with curious minds and a passion for learning. If you're eager to grow your skills, work on real-world challenges, and build impactful solutions, we'd love to hear from you. What You'll Do
Assist in developing, training, and evaluating machine learning models for risk assessment, ranking, and classification problems.
Perform exploratory data analysis (EDA) to uncover patterns, trends, and valuable insights from data.
Apply statistical and analytical techniques under the guidance of senior data scientists.
Work closely with data scientists and engineers to transform data into practical, business-driven solutions.
Contribute to building and improving data-driven products and workflows.
What We're Looking For
A student or recent graduate in Computer Science, Data Science, Statistics, Mathematics, or a related field.
Basic proficiency in Python and familiarity with data science libraries such as pandas, NumPy, and scikit-learn.
Foundational understanding of machine learning concepts and an eagerness to deepen your knowledge.
Basic SQL skills for querying and working with databases.
Strong analytical thinking, curiosity, and a passion for solving problems.
A proactive attitude and a commitment to continuous learning.
Why Join Padra?
Work on real-world data science projects in the financial and credit domain.
Learn from experienced data scientists and engineers in a collaborative environment.
Gain hands-on experience with machine learning, analytics, and data-driven decision-making.
Grow your technical and professional skills while making a meaningful impact.
No prior work experience is required—we value curiosity, motivation, and the willingness to learn above all else.
Job Requirements
Gender
Men / Women
Education
Bachelor| Computer and IT Bachelor| Math / Statistics
Software
Python| Basic MySql| Basic
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