Navi is hiring for a FRESHER entry level Data Scientist I role in India

Position:

• Data Scientist I

• Entry level role designed for early career professionals who want to build strong foundations in applied machine learning and artificial intelligence

• Opportunity to contribute to real world financial technology products across lending, insurance, investments, and digital payments

• High ownership position where problem solving, experimentation, and business impact go hand in hand

• Ideal for candidates who are passionate about analytics, modeling, and scalable deployment

Company:

• Navi

• Fast growing financial technology organization focused on digital first financial services

• Founded in 2018 by Sachin Bansal and Ankit Agarwal

• Building technology driven solutions in lending, UPI, insurance, mutual funds, and digital gold

• Known for its strong engineering culture and in house AI and ML capabilities

Location:

• Bengaluru, Karnataka, India

• Based in one of India’s leading technology hubs with access to a strong data and engineering talent ecosystem

• Onsite collaboration with cross functional teams including product, business, and engineering

Job type:

• Full time employment

• Permanent role with structured career growth

• Opportunity to work on multiple high impact initiatives simultaneously

Job mode:

• Onsite

• Direct engagement with business and engineering teams

• Collaborative environment encouraging daily interaction and whiteboarding discussions

Job requisition id:

• NL 35081

Years of experience:

• 0 to 2 years

• Open to freshers and early professionals with strong academic and technical background

Company description

• Navi is a technology driven financial services company working to make financial products simple, accessible, and affordable for a billion Indians

• The company provides personal loans, home loans, UPI based payment solutions, insurance offerings, mutual fund investments, and digital gold products

• Built with a digital first mindset, every product is designed to be intuitive, transparent, and scalable

• Strong reliance on in house artificial intelligence and machine learning systems to power credit decisions, fraud detection, recommendations, and personalization

• Founded in 2018, the organization has grown rapidly and positioned itself among India’s emerging fintech players

• Operates with a customer first philosophy, ensuring that financial access is frictionless and data driven

• Encourages ownership and accountability at every level of the organization

• Combines deep product thinking with robust engineering to build reliable and scalable financial infrastructure

• Invests heavily in analytics, experimentation, and automation to optimize customer journeys

• Strives to simplify complex financial processes through technology innovation

Profile overview:

• Join the Data Science team as a foundational member contributing to intelligent systems across lending, collections, KYC, UPI growth, and advertisement recommendations

• Work on diverse datasets including structured tables, textual documents, image based verification data, and speech inputs

• Participate in defining problem statements rather than only executing predefined modeling tasks

• Develop scalable machine learning and deep learning models that directly influence product performance and revenue

• Contribute to Generative AI initiatives aimed at improving automation and personalization

• Engage closely with product managers to understand business pain points and convert them into analytical frameworks

• Collaborate with engineering teams to productionize models in scalable environments

• Validate models rigorously and monitor them in production to ensure sustained performance

• Take responsibility for measurable outcomes including conversion uplift, risk reduction, or operational efficiency improvements

• Work in a fast paced fintech setting where innovation, experimentation, and rapid iteration are encouraged

Qualifications:

• Bachelor’s or Master’s degree in Engineering or related quantitative discipline

• Strong programming skills in Python with clear understanding of writing modular and production ready code

• Proficiency in SQL for data extraction, transformation, and aggregation from large datasets

• Exposure to pyspark or scala is considered advantageous for handling distributed data processing

• Hands on experience with pandas and scikit learn for data preprocessing and classical machine learning pipelines

• Familiarity with deep learning frameworks such as TensorFlow or PyTorch

• Understanding of probability theory, statistics, and optimization techniques applied to modeling

• Ability to interpret results and translate statistical findings into business recommendations

• Strong data visualization and exploratory analysis skills

• Effective communication skills to articulate complex technical ideas to non technical stakeholders

• Collaborative mindset with willingness to participate in peer reviews and knowledge sharing

Additional info:

• Role involves complete lifecycle ownership from data exploration to model deployment

• Candidates are expected to validate models using appropriate evaluation metrics and cross validation strategies

• Continuous monitoring of deployed models to track drift, stability, and business impact

• Encouragement to experiment with new algorithms and research papers relevant to fintech use cases

• Exposure to domains such as computer vision for KYC verification, NLP for document analysis, and speech recognition for customer interaction analysis

• Opportunity to work on Generative AI use cases integrated into customer support and marketing automation

• Culture emphasizes ambition, perseverance, integrity, and self awareness

• High ownership environment where individual contributions directly influence customer experience

• Strong emphasis on peer learning and technical excellence

• Ideal for individuals who thrive in dynamic, growth oriented organizations

Please click here to apply.