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



Position:
Data Scientist - I

Company:
Navi Technologies Limited

Location:
Bengaluru, Karnataka, India

Job Type:
Full-time

Job Mode:
On-site

Job Requisition ID:
Not specified

Years of Experience:
0-3 years


Company Description

  • Navi Technologies Limited is one of India’s most rapidly expanding fintech organizations, established in 2018 by Sachin Bansal and Ankit Agarwal.

  • The company’s mission is to transform the financial landscape of India by providing accessible, simple, and technology-driven financial solutions that serve individuals from all walks of life.

  • Navi offers a diverse range of services including Personal Loans, Home Loans, UPI payments, Health and General Insurance, Mutual Funds, and Gold products, all designed with a digital-first approach.

  • The organization focuses on building intuitive and affordable financial tools, ensuring inclusivity for millions of Indians who are either new to credit or underserved by traditional financial systems.

  • Innovation lies at the heart of Navi’s operations. With a strong emphasis on Artificial Intelligence and Machine Learning, the company develops intelligent systems that enhance decision-making, streamline financial processes, and deliver personalized customer experiences.

  • Navi’s culture promotes growth, ownership, and technical excellence. It thrives on collaboration and encourages its employees to challenge existing boundaries to deliver measurable business impact.

  • The company is recognized for its transparent customer-first approach, creating products that combine simplicity with scalability.

  • With over 2,800 employees and an impressive 44 percent growth in headcount over the past two years, Navi continues to solidify its position as a trusted name in India’s financial ecosystem.

  • The company aims to become a comprehensive financial services provider, competing effectively with industry leaders like Paytm, PhonePe, and PolicyBazaar.

  • Navi’s consistent innovation in digital finance marks it as a front-runner in redefining how Indians experience financial services in the modern age.


Profile Overview

  • The role of Data Scientist I at Navi is designed for individuals passionate about leveraging data to solve meaningful problems in the financial technology domain.

  • The position involves working within the Data Science team, which functions as a critical pillar in driving innovation and decision-making across the company’s varied business lines.

  • As part of this team, the candidate will collaborate on developing data-driven solutions that power lending, insurance, investments, and digital payment platforms.

  • The responsibilities go beyond predefined tasks, encouraging ownership of problem identification and solution design across multiple data modalities including structured data, text, images, and voice.

  • The role provides exposure to a broad spectrum of machine learning disciplines such as deep learning, natural language processing, computer vision, and generative AI.

  • Data Scientists at Navi actively engage with cross-functional stakeholders including Product, Engineering, and Business units to translate business requirements into actionable models.

  • The position emphasizes end-to-end project ownership, from data exploration and model development to production deployment and performance monitoring.

  • A candidate in this role will contribute directly to real-world impact by designing scalable systems that enhance financial accessibility for users.

  • The role also involves fostering an environment of continuous learning, encouraging innovation, experimentation, and knowledge sharing among peers.

  • Ultimately, this opportunity serves as a gateway for aspiring data professionals to build real-world expertise while contributing to one of India’s most ambitious fintech success stories.


Qualifications

  • Bachelor’s or Master’s degree in Engineering, Computer Science, or an equivalent quantitative field.

  • Strong programming proficiency in Python, along with practical experience in SQL for data manipulation and analysis.

  • Familiarity with distributed computing frameworks such as PySpark or Scala is considered advantageous.

  • Solid understanding of core data science libraries such as Pandas and Scikit-learn, along with exposure to deep learning frameworks like TensorFlow or PyTorch.

  • Thorough knowledge of key concepts in machine learning and deep learning, including supervised and unsupervised techniques, probability theory, and optimization algorithms.

  • Ability to handle and interpret multiple data formats such as structured tabular datasets, text, images, and speech-based inputs.

  • Experience in designing experiments, validating models, and interpreting results to produce actionable insights for business stakeholders.

  • Competence in visualizing and communicating data findings using appropriate visualization tools and libraries.

  • Excellent written and verbal communication skills, with the ability to articulate technical results in business-friendly language.

  • Strong interpersonal and collaborative capabilities, with a commitment to teamwork and continuous improvement.

  • Eagerness to stay updated with the latest trends in data science, including emerging advancements in generative AI and automation.

  • A proactive mindset toward problem-solving, innovation, and experimentation to build scalable and high-impact solutions.


Additional Information

  • Work Environment: Navi promotes a culture defined by its core DNA—Ambition, Perseverance, Self-awareness, Ownership, and Integrity. Employees are encouraged to set high standards, challenge conventional boundaries, and innovate continuously.

  • Team Collaboration: The Data Science team works closely with product and engineering divisions to design end-to-end solutions that directly impact user experience and business growth.

  • Opportunities for Learning: Team members are encouraged to explore state-of-the-art AI models, participate in peer reviews, and contribute to shared repositories of innovation.

  • Cultural Ethos: The company nurtures an environment where feedback, transparency, and mutual growth are central. It values resilience, learning agility, and dedication to delivering excellence.

  • Growth Potential: With continuous expansion into multiple financial segments, Navi offers immense career advancement opportunities in data analytics, product strategy, and AI innovation.

  • Technology Stack: Employees get to work with scalable cloud infrastructures and modern data platforms, gaining exposure to real-time data processing and large-scale ML pipelines.

  • Customer Focus: Every data science initiative at Navi is tied to measurable customer outcomes—be it improving credit accessibility, refining risk models, or optimizing UPI-based payment experiences.

  • Global Relevance: Though primarily serving the Indian market, Navi’s data science practices reflect global standards in financial modeling, algorithmic optimization, and digital user engagement.

  • Recognition: Navi is consistently recognized as one of the most dynamic fintech employers, combining financial expertise with a modern technological outlook.

  • Career Impact: Joining Navi as a Data Scientist provides not just technical exposure but a meaningful role in shaping how millions of Indians experience financial empowerment.


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