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Engaged Employer

Navi Technologies

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2.8

based on 264 Reviews

Video summary

105 Navi Technologies Jobs

Data Scientist - 2

NAVI TECHNOLOGIES PRIVATE LIMITED

2.8

based on 264 Reviews

2-6 years

Bangalore / Bengaluru

1 vacancy

Data Scientist - 2

Navi Technologies

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Science Python SQL Machine Learning Operations Home Loans

+ 3 more

Job Description

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 agility

About the role
Data Science @Navi

At Navi, our Data Science team is the powerhouse behind scalable and efficient solutions that span across a broad spectrum of fintech sectors be it lending, insurance, investments, or UPI. Were not just a team; were the architects of the future of fintech
W ere not just keeping up with innovation; were setting the pace. Our team is constantly pushing the boundaries, introducing groundbreaking methods that amplify business growth, enhance customer experiences, and streamline operational processes.
Our work isnt confined to a single domain. We tackle a diverse set of problem statements, from computer vision and tabular data to natural language processing, speech recognition, and even Generative AI. Each day brings a new challenge and a new opportunity for breakthroughs.
When you join us, youre not just taking a job; youre becoming a part of a movement. A movement thats making a tangible difference in the fintech landscape, one innovative solution at a time.

Ready for a transformative career journey? Join us at Navi and be a part of a team thats shaping the future of fintech.

What you gain by working with the Data Science team at Navi

Join the Navi Data Science team for

Own Your Journey from Start to Finish Take pride in having full-cycle ownership of your projects. You wont just be a cog in the machine; youll be the architect, designer, and implementer of cutting-edge Data Science solutions that drive our business forward.
Immerse Yourself in a Data Wonderland Welcome to a playground where data is abundant and limitations are few. Our high-growth, agile environment offers a treasure trove of data, giving you the freedom to experiment, innovate, and make data-driven decisions that matter.
Be Part of a Synergistic Dream Team Collaborate with a diverse group of high-performing professionals who are as passionate about data science as you are. Our culture fosters continuous learning and upskilling, setting you up for ongoing success and career growth.
Make a Tangible Impact Your work wont just sit on a shelf; it will make waves. By closely collaborating with stakeholders across departments, youll have the opportunity to design and develop data science solutions that not only solve complex problems but also make a meaningful impact on our company and the fintech industry at large

What we are looking for

Bachelors or Masters in Engineering or equivalent.
2+ years of Data Science/Machine Learning experience.
Strong knowledge in statistics, tree-based techniques (e.g., Random Forests, XGBoost), machine learning (e.g., MLP, SVM), inference, hypothesis testing, simulations, and optimizations.
Bonus Experience with deep learning techniques; experience in working Ad domain/reinforcement learning.
Strong Python programming skills and experience in building Data Pipelines in PySpark, along with feature engineering.
Proficiency in pandas, scikit-learn, Scala, SQL, and familiarity with TensorFlow/PyTorch.
Understanding of DevOps/MLOps, including creating Docker containers and deploying to production (using platforms like Databricks or Kubernetes).