Senior Data Scientist

Inductivequotient; Hyderabad; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Inductive Quotient Analytics is seeking a Senior Data Scientist to architect and deliver scalable analytics and AI-driven solutions in life sciences and healthcare.

The role requires hands-on experience with Python, FastAPI, SQLAlchemy, LLMs, Prompt Engineering, and RAG, along with strong problem-solving and communication skills. Collaborate with clients and cross-functional teams to translate business needs into technical solutions.

Qualifications

• Strong Python backend development experience.
• Hands-on with LLMs, Prompt Engineering, and RAG architectures.
• Experience building AI applications and data products.

Responsibilities

• Design, develop, and maintain scalable backend apps using Python, FastAPI, and SQLAlchemy.
• Build Generative AI solutions using LLMs, Agents, and NLP techniques.
• Develop web scraping, automated data processing, and scheduling pipelines.

Skills

Python

Backend development

LLMs

Prompt Engineering

RAG

NLP & ML concepts

Git

Problem solving

Education

Bachelor's or Master's in CS/IT or related

Tools

FastAPI

SQLAlchemy

SQL

Job description

Build Your Career at the Intersection of Science, Data, and AI

Join a team accelerating life sciences and healthcare with expert services, intelligent platforms, and modern delivery.

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.
• 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 to 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.

python fastapi sqlalchemy generative ai rag llms

WHY INDUCTIVE QUOTIENT

Why Join IQA?

Build your career where life sciences, technology, and meaningful work come together.

Contribute to meaningful work that supports progress across life sciences, healthcare, and intelligent technology.

Life Sciences Impact

Support projects that create real value across clinical research, healthcare, and regulated environments.

Growth and Learning

Expand your skills through mentorship, real project exposure, and continuous learning opportunities.

Innovation with AI and Data

Be part of teams applying AI, data, and automation to modern life sciences and healthcare challenges.

Cross-Functional Exposure

Work across services, platforms, and business functions in a collaborative and learning-driven environment.

Global Delivery Mindset

Gain experience in a globally aligned delivery model built for quality, responsiveness, and scale.