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Aplazo

Lead Data Scientist

Aplazo

Senior Data Scientist contributing across Credit Risk, Growth, and AI initiatives at Aplazo. Collaborating closely with teams and owning projects end-to-end.

Posted 7/27/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Machine Learning fundamentals and proficiency in Python and SQL, with hands-on experience in LLMs and GenAI. Capable of driving end-to-end projects in data science, particularly within Fintech or BNPL domains, while collaborating effectively with data science teams.

Highest-signal resume keywords
Machine Learning FundamentalsPython ProficiencySQL ProficiencyHands-On Experience with LLMsFintech or BNPL Background

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningPythonSQLLLMsGenAIExperimentation FrameworksA/B TestingMLOpsProduction Experience with ModelsData Science
Soft Skills
CollaborationResearchProblem-SolvingAdaptability
Industry Keywords
Credit RiskGrowthAI InitiativesFintechBNPLData Science JournalsMachine Learning Conferences

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Contribute across Credit Risk, Growth, and AI initiatives
  • Own projects end-to-end within your assigned domain
  • Develop deep familiarity across multiple domains
  • Drive research and exploration workstreams
  • Collaborate closely with Lead and Staff Data Scientists
  • Identify and flag opportunities for improvement

Requirements

What you’ll need
  • 4–8 years of experience across more than one data science domain
  • Strong ML fundamentals
  • Demonstrated ability to ramp quickly
  • Proficiency in Python, SQL, and standard ML frameworks
  • Hands-on experience with LLMs / GenAI
  • Production experience with models
  • Fintech or BNPL background strongly preferred
  • Experience with experimentation frameworks and A/B testing
  • Exposure to MLOps practices
  • Publications or presentations in recognized Machine Learning and Data Science journals/conferences

Benefits

Comp & perks
  • AI-First, Not AI-Curious
  • Rare opportunity to build breadth across Risk, Growth, and AI
  • Small, senior team with strong DS practitioners
  • Direct impact on business outcomes
  • Strong foundation for future roles