AI Data Scientist
Senior AI Data Scientist (onsite in Hyderabad, 6–8 years experience) who partners with business stakeholders to design, build, and deploy AI/ML solutions — predictive models, LLM agents, RAG apps, and workflow automation — using Python, SQL, cloud platforms (Azure/AWS/GCP), and AI coding assistants.
- Compensation
- Not disclosed
- Location
- Hyderabad, India
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 6+ years
- Category
- Data science
- Posted
Skills
Must have
- 6–8 years of hands-on experience delivering AI, Machine Learning, or Advanced Analytics solutions
- Strong proficiency in Python, SQL, statistics, and modern Machine Learning techniques
- Experience building end-to-end Data & AI/ML solutions from problem definition through deployment
- Experience with Azure, AWS, or Google Cloud Platform
- Hands-on experience with Large Language Models (LLMs), AI Agents, RAG, and modern AI application development
- Proven experience using AI coding assistants (Claude, Cursor, Codex, GitHub Copilot, or similar)
- Demonstrated ability to decompose ambiguous business problems into structured analytical approaches
- Excellent communication and stakeholder management skills; can present technical concepts to business audiences
- Experience leading and guiding work of subordinates
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another quantitative discipline
Nice to have
- Preferred domain experience in Retail, Consumer Packaged Goods (CPG), Pharmaceuticals, Manufacturing, or related industries
- Exposure to Snowflake, Databricks, MLflow, or MLOps practices
- AI or Cloud certifications
Full description
Senior AI Data Scientist
Location: Hyderabad (Onsite) Employment Type: Full-Time Experience: 6–8 Years
About Impact Makers India
Impact Makers India partners with global organizations to solve complex business problems using Artificial Intelligence, Machine Learning, and Advanced Analytics. We combine deep business understanding with AI-first innovation to build practical, scalable solutions that deliver measurable business value.
Role Overview
We are looking for a hands-on Senior AI Data Scientist who is passionate about solving business problems using Data Science, Machine Learning, and Agentic AI. The ideal candidate combines structured problem solving, technical depth, and business acumen to develop scalable Data & AI solutions to address ambiguous business challenges. You will leverage modern AI technologies and AI coding agents to rapidly design, develop, and deploy high-quality solutions that create measurable business outcomes.
Key Responsibilities
· Partner with business stakeholders to understand, structure, and solve complex business problems using AI and Data Science.
· Design, develop, and deploy scalable AI and Machine Learning solutions that deliver measurable business value.
· Apply analytical thinking, experimentation, and data-driven approaches to solve business and operational challenges.
· Build AI-enabled applications, including intelligent assistants, knowledge processing solutions, predictive models, and workflow automation.
· Leverage AI coding agents (e.g. Claude, Antigravity or similar tools) for specification-driven development, rapid prototyping, testing, and engineering productivity.
· Collaborate with cross-functional teams to deliver production-ready solutions and contribute to reusable AI assets and best practices.
· Communicate analytical insights and recommendations effectively to business stakeholders.
· Takes the initiative to stay informed about the latest developments in the AI field and proactively incorporates relevant advancements into the solution development process.
Experience & Skills
· 6–8 years of hands-on experience delivering AI, Machine Learning, or Advanced Analytics solutions.
· Strong proficiency in Python, SQL, statistics, and modern Machine Learning techniques.
· Experience of building end-to-end Data & AI/ML solutions from problem definition through deployment.
· Experience with Azure, AWS, or Google Cloud Platform.
· Hands-on experience with Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and modern AI application development.