The Data Science Pod Member is responsible for designing, developing, validating, and deploying data science and AI solutions as part of a multidisciplinary pod
Job Summary
The Data Science Pod Member is responsible for designing, developing, validating, and deploying data science and AI solutions as part of a multidisciplinary pod.
Pod Members collaborate closely with the Data Science Pod Lead, AI Product Owner, AI Architects, and engineering partners to deliver measurable value while adhering to enterprise standards and Responsible AI principles.
This role focuses on hands-on analytical, modeling, and engineering work, translating business and product objectives into high-quality technical deliverables.
Matching Summary
The Data Science Pod Member is responsible for designing, developing, validating, and deploying data science and AI solutions as part of a multidisciplinary pod.
Skills & Requirements
Must-have
design, develop, validate, deploy AI solutions
machine learning and Generative AI
LLM-based systems, RAG, agents
Python, SQL, ML frameworks
production-ready code and artifacts
Responsible AI principles
Nice-to-have
building a better world
problem solvers and future world builders
collaboration and knowledge sharing
Key Requirements
Bachelor’s degree in engineering, computer science, data science, mathematics, statistics, or related field (or equivalent practical experience)
Advanced degree (Master’s or PhD) in AI, ML, engineering, mathematics, physics, or closely related field is an advantage
Knowledge of AI and Generative AI concepts, risks, and opportunities