Description We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Data Scientist Senior Associate within our Corporate Data and Analytics Services Team, you will be instrumental in constructing predictive models and developing robust RAG pipelines. Collaborating closely with cross-functional teams, you will extract valuable insights from complex datasets to promote data-promoten decision-making across the organization. Your focus will include addressing problem statements, innovating solutions for complex challenges, and leveraging code generation tools like Codeium and Copilot. Additionally, you will build AI-promoten solutions to enhance both technological and business efficiency. Job Responsibilities: Design, develop, and implement predictive models to solve complex business problems. Develop and maintain RAG pipelines to enhance data retrieval and generation processes. Collaborate with data engineers and analysts to ensure data quality and accessibility. Analyze large datasets to identify trends, patterns, and opportunities for improvement. Communicate findings and insights to stakeholders through clear and concise reports and visualizations. Stay up-to-date with the latest advancements in data science and machine learning technologies. Contribute to the continuous improvement of data science methodologies and best practices. Contribute to MCP, Agentic AI and Generative AI solutions Required qualifications, capabilities and skills: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. AI deep knowledge, generative/agent building knowledge experience. Proven experience in building predictive models and developing RAG pipelines. Proficiency in programming languages such as Python or Java Strong understanding of machine learning algorithms and statistical techniques. Excellent problem-solving skills and attention to detail. Strong communication skills and the ability to work collaboratively in a team environment. Preferred qualifications, capabilities and skills: Databricks professional experience.