Junior Data Scientist

India·Bengaluruentry

Data ScientistData

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Quick Summary

Overview

About Digitap.ai: DIGITAP.AI is an Enterprise SaaS company providing high-tech advanced AI/ML, Alternate Data Solutions to new-age internet-driven businesses for reliable, fast, and 100% compliant Customer Onboarding, Alternate Data Solutions for Automated Risk Management, and other Value-Added…

Key Responsibilities

Assist in developing machine learning models for credit scoring, fraud detection, and risk prediction Work with large datasets for data cleaning, preprocessing, and feature engineering Support model experimentation, evaluation, and performance…

Requirements Summary

Degree in Computer Science, Data Science, Mathematics, or related field Exposure to Fintech / Credit Risk / Business Analytics Basic understanding of MLOps, model deployment, or pipeline automation Passion for learning new ML tools and technologies

Technical Tools

numpypandaspythonscikit-learnsqlab-testingfintechmachine-learningperformance-optimizationsaas

What We Offer

~1 min read

✓Innovative Start-up Environment: Enjoy the flexibility to design, implement, and influence the development of cutting-edge solutions.

✓Transparency and Meritocracy: We value clear communication, eschew politics, and promote an open culture where contributions are recognized and rewarded.

✓Ownership and Impact: We encourage team members to take ownership, think beyond their roles, and contribute to the company's success in meaningful ways.

✓Competitive Compensation: We offer a competitive salary and a potential equity package, aligning your success with the company's growth.

Key Responsibilities

Assist in developing machine learning models for credit scoring, fraud detection, and risk prediction
Work with large datasets for data cleaning, preprocessing, and feature engineering
Support model experimentation, evaluation, and performance optimization
Contribute to building automated ML pipelines for data processing and model training
Monitor model performance and data drift in production systems
Collaborate with data scientists, engineers, and product teams to translate business problems into ML solutions

Required Skills

1+ year experience working with Machine Learning models (classification/regression)
Strong Python programming skills
Experience with NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn
Knowledge of model evaluation, cross-validation, overfitting, and feature importance
Experience with data cleaning, preprocessing, and feature engineering
Basic SQL querying skills
Familiarity with Git and collaborative development

Preferred Qualifications