I&F Decision Sci Practitioner Analyst
Uses vibe coding and agentic AI to rapidly build and iterate AI-driven applications.
About the Role
Join Accenture's Life Sciences R&D team to develop Python-based AI and automation solutions that accelerate research processes. The role focuses on building and integrating Python APIs, deploying AI-driven applications, and exploring Agentic AI approaches for autonomous workflows and rapid iteration using vibe coding.
Job Description
Role
As an I&F Decision Sci Practitioner Analyst aligned to Accenture’s Life Sciences R&D vertical, you will develop and maintain Python-based AI and automation solutions to speed up R&D activities, reduce manual work, and improve accuracy. You will build APIs, deploy intelligent applications, and explore agentic AI approaches for autonomous workflows.
Key Responsibilities
- Develop and maintain AI-driven applications using Python
- Design, build, and integrate Python APIs for various use cases
- Use VS Code and other development tools to write, test, and debug code
- Explore and implement Agentic AI approaches for autonomous workflows and intelligent agents
- Collaborate with cross-functional teams to design scalable solutions
- Troubleshoot and optimize performance of deployed applications
- Leverage agentic AI and vibe coding to rapidly build and iterate applications
Requirements
- Strong proficiency in Python programming
- Experience with IDEs such as VS Code
- Knowledge of Python API development and integration
- Familiarity with Agentic AI concepts and frameworks (autonomous agents, task orchestration, embeddings)
- Hands-on experience with deployment processes
- Understanding of software development best practices (version control, testing, debugging)
Qualifications & Experience
- BE / BTech / MCA or equivalent
- Listed years of experience: 3–5 years (note: the role description also references 1–2 years in one section)