Bajaj Finserv Off Campus 2026 : Bajaj Finserv, one of India’s most diversified and profitable financial services groups, is officially inviting applications for its 2026 Off Campus Drive. They are actively seeking brilliant analytical minds and tech enthusiasts to join their Data Intelligence Unit as a Product Specialist at their Corporate Office in Pune.
Do not let the title fool you—this is a highly technical, cutting-edge AI and Data Engineering role! If you want to build machine learning pipelines, work with Large Language Models (LLMs), and shape the future of autonomous finance, this is an incredible launchpad.
About Bajaj Finserv :
Bajaj Finserv is a powerhouse in the Indian NBFC (Non-Banking Financial Company) and insurance space. However, beneath the surface of consumer lending and wealth management lies a massive, highly sophisticated technology engine.
To maintain its position as a market leader, Bajaj Finserv is making significant investments in Agentic AI, Generative AI, and Data Intelligence. Their engineering teams process terabytes of structured and unstructured data each day to manage credit risk, prevent fraud, and automate customer service. Joining Bajaj Finserv means working on enterprise-grade AI systems that directly affect millions of financial transactions across India.
Job Description for Bajaj Finserv Off Campus 2026 :
At Bajaj Finserv, the role of “Product Specialist” for freshers is part of the Data Intelligence Unit. As an AI Engineer in this unit, you will contribute to the development and operation of essential components related to data representation, context engineering, and machine learning pipelines.
| Company | Bajaj Finserv |
| Role | Product Specialist (Data Intelligence & Agentic AI) |
| Location | Pune, Maharashtra (Mantri Corporate Office) |
| Batch Eligible | 2026 / 2025 |
| Experience | Freshers (0 – 2 Years) |
| Expected CTC | Highly Competitive (Industry Best for AI/Data Roles) |
Roles & Responsibilities
- Data Representation Pipelines: Prepare and validate large-scale datasets from multiple sources (transactions, credit bureaus, CRM systems).
- Large-Scale ML Systems: Assist in building distributed training pipelines, maintaining feature stores, and contributing to CI/CD pipelines for machine learning services.
- LLM & Prompt Engineering: Support Retrieval & Context Engineering (RAG) workflows. Assist in document processing, chunking, indexing, and maintaining prompt templates for AI assistants.
- Experimentation & Operations: Execute ML training jobs, log experiments, perform rigorous error analysis, and monitor models for data drift or anomalies in production.
- Security & Compliance: Strictly follow data privacy controls for regulated financial data, ensuring complete traceability and auditability of AI decisions.
Education & Skills Required :
- Degree: Bachelor’s or Master’s in Computer Science, Mathematics, Engineering, or a highly quantitative field.
- Target Batch: 2026 and 2025 graduates.
- Experience: 0–2 years of experience (strong academic projects or internships in Applied ML/Data Science are highly preferred).
Core Technical Skills :
- Programming Mastery: Strong, hands-on coding proficiency in Python and SQL. Familiarity with version control (Git).
- Data Manipulation: Deep understanding of Pandas or PySpark basics (joins, aggregations, window functions, data profiling).
- ML Fundamentals: Clear understanding of supervised/unsupervised learning, embeddings, evaluation metrics, and train/test data discipline.
- System Mindset: Structured debugging, reproducibility, and a basic understanding of logging and monitoring.
Selection Process Bajaj Finserv Off Campus 2026 :
Bajaj Finserv’s recruitment process for their Data Intelligence Unit rigorously tests your core logic and coding fundamentals.
- Online Assessment: A timed test covering Quantitative Aptitude, Python programming logic, and advanced SQL query writing.
- Technical Interview 1 (Data & Logic): A deep dive into Data Structures, Pandas manipulation, and your understanding of core ML algorithms (e.g., explaining bias-variance tradeoff or evaluation metrics).
- Technical Interview 2 (System & AI): Scenario-based questions on how you would design a data pipeline, handle missing financial data, or structure a basic prompt for an LLM.
- HR & Managerial Round: Assessing your cultural fit, problem-solving mindset, and willingness to work in a highly regulated, fast-paced fintech environment.
Frequently Asked Questions (FAQs) Bajaj Finserv Off Campus 2026 :
1. Is this a Product Management role or a Software/Data role? This is a highly technical AI/Data Engineering role. While the internal title is “Product Specialist,” you will be writing Python code, building data pipelines, and optimizing machine learning models, rather than doing traditional product management.
2. I don’t have experience with Large Language Models (LLMs). Can I still apply? Yes! While LLM/RAG knowledge is a great bonus, Bajaj Finserv is primarily looking for candidates with incredibly strong fundamentals in Python, SQL, and core Machine Learning. Advanced AI concepts will be part of your on-the-job learning.
3. Will I be working on real financial data? Absolutely. You will be dealing with real-world credit risk, fraud management, and collections data, which is why strict adherence to security and compliance protocols is mandatory.
How to Apply for Bajaj Finserv Off Campus 2026?
Eligible tech and data enthusiasts should apply through the official Bajaj Finserv careers portal. Ensure your resume prominently features links to your Kaggle profiles, or any deployed ML projects!
NaukriTech Pro Tip: To ace the technical interview, make sure you are exceptionally comfortable with writing complex SQL Window Functions and performing data wrangling using the Python Pandas library! Keep checking NokariTech.com for more exclusive fintech and AI job updates.