Career with Us

Working with niyogin

Driven by meritocracy & collaboration, we drive ownership and accountability, making fast decisions and getting results. Without traditional hierarchies, we foster an environment of trust & integrity, champion each other and have each other's backs. At the end of the day- the only HERO is the team!



Career Opportunities at niyogin

Learning Curve

Fast-paced growth powered by stimulating discussions with innovative minds offer you ample room to learn.

Dynamic Environment

A rapidly evolving industry pushes you to think out of the box and constantly outperform yourself.

Team of Veterans

The guidance of experienced veterans channelizes your energy and intelligence in the best possible direction.

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Prospects at niyogin

For every team member at Niyogin, the potential for growth is immense. Not only that, you get the pleasure of working in a high-energy, innovative, honest culture where everybody’s ideas are valued.

Asset Publisher

Content with General Openings Data Science .

  • Data Scientist


    Data Scientist

    3+ yrs

    job description

      • Conceptual Thinking

      Design experiments to answer targeted questions around customers, products or operations.

      Engage with hypothesis formulation to create relevant statistical models for credit that best suits the end consumer

      • Statistical modelling

      Build statistical models leveraging non-traditional sources of data (phone data, social networks, psychometric data, business transactions) that will help determine who Niyogin should lend to and who not.

      Conduct exploratory data analysis in high dimensions, and develop the dashboards and metrics that will provide the insight to improve the operations of the Credit team.


    As per industry standards


    • Must have

      • Experience in advanced statistical and regression modelling techniques

      • 3+ years of professional experience in an analytical role manipulating large data sets

      • Experience in data language (Python, R, SAS)

      • Experience in data visualization tools (eg. Tableau)

      • Experience in SQL database

    • Preferred

      • Experience in a financial services or lending context

      • Experience with field and primary research and related analysis

    • Skills we will test for

      • Strong statistical and predictive modelling fundamentals

      • Ability to frame hypotheses, assemble data, and extract insights end-to-end

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