Senior Analyst, Data Science

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Key Requirements: Contribute across the GenAI and analytics lifecycle, including implementation, testing, validation, documentation, monitoring, and reporting. Identify process improvement opportunities and design agentic applications for analytics and other teams. Work with LLMOps and MLOps frameworks to deploy and monitor AI/ML models in real time. Collaborate with cross-functional teams - Data Supply, Product, Governance, PMO, and Technology to deliver analytical solutions. Key skills: 6-8 years of experience in Data Analytics or Data Science roles. Proficient in python and familiar with relevant packages and tools. Hands-on experience with GenAI/LLM frameworks and tools like Langchain, WatsonxAI etc. Comfortable with development tools such as VSCode, PyCharm, Git, and JIRA. Solid understanding of statistical and machine learning techniques. Experience with visualization tools like Power BI. Strong verbal, written, and presentation skills.

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