Associate Lead Data Scientist

Actively Reviewing the Applications

Bajaj Finserv

India, Maharashtra Full-Time On-site

Posted 19 hours ago • Apply by June 15, 2026

Job Description

Location Name: Pune Corporate Office - Mantri

Job Purpose

To contribute to the design, development, and optimization of AI-driven search systems and machine learning models that deliver intelligent, scalable, and accurate search experiences across BFL businesses. The role supports the enterprise-wide AI capability for search, ranking, and personalization while working closely with business and technical teams

Duties And Responsibilities

Contribute to the development and optimization of enterprise-wide search systems and models.
Design and implement algorithms to improve indexing, query relevance, and search accuracy.
Support taxonomy, ontology, and metadata model creation for better search outcomes.
Collaborate with business units (Loans, Insurance, Investments) to build AI-enabled search features.
Conduct analysis of user behavior and system metrics to refine search performance.
Work with engineers, product managers, and designers to deliver integrated search solutions.
Develop production-grade ML systems for ranking, personalization, and recommendations.
Participate in proof-of-concept initiatives with internal and external partners.
Follow best practices in software engineering including CI/CD, testing, and monitoring.
Keep abreast of emerging developments in AI/ML to apply them in practical solutions.

Key Decisions / Dimensions

Design and coding approaches for assigned modules.
Choice of algorithms, tools, and frameworks for implementation.
Recommendations on improving performance, accuracy, or customer experience.
Task prioritization within assigned projects.

Major Challenges

Designing scalable models that can support high-volume search traffic.
Balancing performance, accuracy, and latency in production search systems.
Keeping up with advancements in AI/ML while aligning with business priorities.
Ensuring reliable and seamless customer search experience.

Educational Qualifications

Required Qualifications and Experience

BTech/MTech/BE/MSc in Computer Science, Mathematics, Statistics, or related fields.

Work Experience

5–8 years in Search, Information Retrieval, NLP, and Machine Learning.
Hands-on experience in deploying ML/AI-based systems at scale.
Experience mentoring junior engineers (preferred).

Mandatory Skills

Strong knowledge of search technologies (indexing, faceted search, NLP-based search).
Programming skills in Python, Java, or Scala.
Familiarity with ML/DL frameworks: TensorFlow, PyTorch, scikit-learn, Keras.
Experience with SQL/NoSQL databases (Cosmos DB, MongoDB, Cassandra).
Exposure to CI/CD pipelines, Git, Jenkins, testing frameworks.
Good understanding of data structures, algorithms, OOP concepts, and Linux.

Preferred Skills (Nice To Have)