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.