Senior Data Scientist

Location:Hyderabad Experience: 5+years Employment Type: Full-time, Onsite

About Inductive Quotient Analytics Inductive Quotient Analytics develops AI-powered products and data-driven solutions for life sciences and healthcare, covering clinical development, regulatory intelligence, biometrics, real-world evidence, medical coding, site readiness, and clinical data automation. Role Overview Inductive Quotient Analytics is looking for a Senior Data Scientist with strong expertise in Python, Data Science, Machine Learning, and Generative AI to build scalable analytics and AI-driven solutions. The ideal candidate will have experience building AI applications, and data products that deliver measurable business value. The role involves collaborating with clients and cross-functional teams to translate business requirements into technical solutions. Hands-on experience with LLMs, Prompt Engineering, RAG, FastAPI, SQL, and modern AI frameworks is highly desirable, along with strong problem-solving and communication skills.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Python, FastAPI, and SQLAlchemy (ORM).
• Build and optimize Generative AI solutions leveraging LLMs, LLM APIs, Agents, Prompt Engineering, RAG architectures, and NLP.
• Develop and maintain web scraping, automated data processing, and job scheduling pipelines.
• Design and optimize relational database schemas and complex SQL queries.
• Integrate AI models and APIs into production-grade applications.
• Collaborate with clients and subject matter experts to translate business requirements into technical solutions.
• Ensure code quality through best practices, unit testing, code reviews, and performance optimization.
• Contribute to solution design, technical documentation, and architectural discussions.

Required Skills

• Strong proficiency in Python and backend development.
• Experience with FastAPI and RESTful API development.
• Advanced knowledge of SQL and hands-on experience with SQLAlchemy.
• Strong expertise in Web Scraping and data extraction frameworks.
• Experience with Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG), Vector Databases, and Document processing.
• Good understanding of Generative AI, Data Science, NLP, and Machine Learning concepts.
• Experience working with version control systems (Git) and software development best practices.

Preferred Skills

• Exposure Technical Architecture and Solution Design.
• Ability to create and deliver effective technical presentations.
• Experience mentoring junior team members and providing technical guidance.
• Knowledge of cloud platforms such as Azure, AWS, or GCP.
• Familiarity with MLOps practices.
• Experience in healthcare, life sciences, clinical or regulated applications Qualification
• Bachelor's or master's degree in computer science, Information Technology, or a related field. Skills: python,fastapi,sqlalchemy,generative ai,rag,llms