Senior Data Scientist Job ID: 397588

Inductivequotient; Hyderabad; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Inductive Quotient Analytics in Hyderabad is seeking a Senior Data Scientist to develop scalable analytics and AI-driven solutions. The role emphasizes building production-grade data products using Python, ML, and Generative AI with LLMs and RAG.

Collaboration with clients and cross-functional teams is essential, along with strong problem-solving and communication skills. Hands-on experience with FastAPI, SQL, and modern AI frameworks is highly desirable.

Qualifications

• 5+ years of hands-on data science and ML experience.
• Strong backend development and Python expertise.
• Experience with LLMs, prompt engineering, and RAG.
• Experience with SQL and data pipelines.

Responsibilities

• Design, develop, and maintain scalable backend apps using Python, FastAPI, and SQLAlchemy.
• Build 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.

Skills

Python backend development

FastAPI

RESTful API development

SQL

SQLAlchemy

Web Scraping

Data extraction frameworks

LLMs

Prompt Engineering

Retrieval-Augmented Generation

Vector Databases

Document processing

Generative AI

Data Science

NLP

Machine Learning

Git

Software development best practices

Education

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

Tools

Git

SQLAlchemy

FastAPI

Job description

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 strongexpertisein Python, Data Science, Machine Learning, and Generative AI to build scalable analytics and AI-driven solutions. The ideal candidate will have experiencebuildingAI 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, andmaintainscalable backend applications usingPython,FastAPI, andSQLAlchemy(ORM).
• Build andoptimizeGenerative AI solutionsleveragingLLMs, LLM APIs, Agents, Prompt Engineering, RAG architectures, and NLP.
• Develop andmaintainweb scraping,automated data processing,andjob scheduling pipelines.
• Design andoptimizerelational database schemas and complexSQLqueries.
• 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

• StrongproficiencyinPythonand backend development.
• Experience withFastAPIand RESTful API development.
• Advanced knowledge ofSQLand hands-on experience withSQLAlchemy.
• StrongexpertiseinWeb Scrapingand data extraction frameworks.
• Experience withLarge Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG), Vector Databases, andDocument processing.
• Good understanding ofGenerative AI,Data Science, NLP,and Machine Learning concepts.
• Experience working with version control systems (Git) and software development best practices.

Preferred Skills

• ExposureTechnical Architecture and Solution Design.
• Ability to create and deliver effective technical presentations.
• Experience mentoring junior team membersandprovidingtechnical guidance.
• Knowledge of cloud platforms such as Azure, AWS, or GCP.
• Familiarity withMLOpspractices.
• Experience in healthcare, life sciences, clinical or regulated applications

Qualification

• Bachelor's ormaster's degree in computer science, Information Technology, or a related field.