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Lead Data Scientist

Temporary
temporary
IT
24 Oct 2025
Gurgaon
Verified by Turrior

Content + Source + Freshness • 13 Dec 2025 • 95% confidence

80 / 100

Offer value

High value opportunity with the potential to impact risk assessment models in the financial sector.

  • Significant role in financial data analytics and risk assessment.
  • Good career prospects in a growing sector.
  • Useful work experience in credit-related projects.
Pros
  • Role directly influences credit risk modeling in the NBFC sector
  • The opportunity to work on significant financial data projects
  • Strong market demand for data science skills
Cons
  • High level of responsibility with expectations for impactful results
  • Requires extensive domain knowledge in financial mechanisms
  • Entry-level pay may not reflect the responsibility

Who it's for

Mid to Senior Level • On-site

Good fit
  • Data scientists with finance experience.
  • Individuals eager to impact organizational risk strategy.
  • Candidates in search of challenging projects in the financial sector.
Not recommended for
  • Candidates with no finance background.
  • Individuals averse to high stakes and pressure.
  • Newcomers without practical data science knowledge.

Motivation fit

Aspire to develop impactful financial risk modelsInterest in the intersection of data science and financeWant to contribute to decision-making processes in finance

Key skills

Knowledge in credit risk modelingData analysis in financial contextsStatistical methods and machine learningStrong communication for team collaboration
Score: 80/100 AI verified analysis

About the job

Lead Data Scientist (1 position)* Experience: 8+ years in data science, ideally in NBFC.* Job Responsibilities: Develop and validate credit risk models (PD, LGD) for NBFC.* Interview Mode: Face-to-Face.
experience10

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Turrior uses artificial intelligence to create job listings, automate candidate screening, conduct video interviews, and apply comprehensive AI scoring — helping companies hire faster, more accurately, and with lower operational costs.

Key benefits:

  • AI-powered job creation and structured job data
  • Intelligent candidate screening and automated shortlisting
  • Video interviews with AI-based answer analysis
  • Comprehensive AI scoring of skills, experience, and role fit
  • Recruitment process automation and reduced time-to-hire

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