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Data Scientist Senior Associate - AI

J.P. Morgan
Glasgow
4 days ago
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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.


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