Senior Analyst, Data Science
3 weeks ago
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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