Engineering

Data Scientist - 3

Bengaluru, Karnataka
Work Type: Full Time

Hiring Manager - Chanakya Gujju

Team - Data Science

About Navi


Navi is one of the fastest-growing financial services companies in India providing Personal & Home Loans, UPI, Insurance, Mutual Funds, and Gold. Navi's mission is to deliver digital-first financial products that are simple, accessible, and affordable. Drawing on our in-house AI/ML capabilities, technology, and product expertise, Navi is dedicated to building delightful customer experiences.


Founders: Sachin Bansal & Ankit Agarwal


Know what makes you a “Navi_ite” :


1.Perseverance, Passion and Commitment

  • Passionate about Navi’s mission and vision
  • Demonstrates dedication, perseverance and high ownership
  • Goes above and beyond by taking on additional responsibilities

2.Obsession with high quality results

  • Consistently creates value for the customers and stakeholders through high-quality outcomes
  • Ensuring excellence in all aspects of work
  • Efficiently manages time, prioritizes tasks, and achieves higher standards

3.Resilience and Adaptability

  • Adapts quickly to new roles, responsibilities, and changing circumstances, showing resilience and agilit



Responsibilities :

  • Lead and develop data science solutions to solve complex business solutions
  • Formulate business problems to data science problems
  • Work cross functionally with business and engineering teams to drive data science initiatives
  • Define right quality metrics for ML models and optimize them
  • Mentor and provide feedback to team members

Qualifications :

  • Bachelor or above in Computer/Electrical Engineering, Mathematics, Economics or in a quantitative field with research bent of mind and have a minimum of 5+ years of experience
  • Sound understanding of modern Machine learning techniques, mathematical underpinnings, and experienced in using different machine learning frameworks (sci-kit-learn, Keras, TF Spark, MLlib etc)
  • Experience in using distributed computing platforms
  • Strong programming skills (preferably in Python, Scala, etc)
  • Experience in driving large scale machine learning learning problems end to end

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