Job
Description
As an AI Incubator Data Scientist at Barclays, you will lead the evolution of the digital landscape, driving innovation and excellence by leveraging cutting-edge technology to enhance customer experiences. You will work within the Data Science team, particularly in the AI incubator, focusing on driving commercial value from data across the Corporate Bank. Your role will involve collaborating with senior stakeholders, developing machine learning models, applying AI to deliver commercial value, and leveraging AWS services for data transformation and AI product development. **Key Responsibilities:** - Build relationships with senior stakeholders to identify opportunities for adding value through Data Science and GenAI. - Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank. - Utilize AWS services for data transformation, feature engineering, AI product development, and deployment. - Communicate complex technical ideas to stakeholders through data visualization. - Collaborate with the ML Ops team to streamline project production processes. **Essential Skills and Qualifications:** - Bachelor's or master's degree in data science or equivalent commercial experience. - Experience working with senior stakeholders throughout the data science lifecycle. - Ability to translate technical work into business terms and communicate value to stakeholders. - Commercial experience in applying machine learning techniques for business value. - Strong coding skills in Python and SQL, with an understanding of key coding principles. - Familiarity with AWS data science and AI services, including SageMaker and Bedrock. - Proficiency in data visualization software, especially Tableau, with exposure to other similar tools. - Knowledge of code management methodologies and their implementation in projects. **Desirable Skills/Preferred Qualifications:** - Experience in front-end development frameworks like Angular/React Flask/Streamlit. - Understanding of MVC Architecture and Agentic AI. - Experience working in a big data environment using PySpark. In this role, you will use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves. By leveraging these insights, you will inform strategic decision-making, improve operational efficiency, and drive innovation across the organization. As an Analyst, you are expected to perform activities in a timely manner with high standards, driving continuous improvement. You will lead and supervise a team, guide professional development, allocate work, and coordinate resources. Additionally, you will collaborate with other functions and business areas, take responsibility for managing risk and strengthening controls, and advise decision-making within your area of expertise. All colleagues at Barclays are expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as the Barclays Mindset to Empower, Challenge, and Drive. As an AI Incubator Data Scientist at Barclays, you will lead the evolution of the digital landscape, driving innovation and excellence by leveraging cutting-edge technology to enhance customer experiences. You will work within the Data Science team, particularly in the AI incubator, focusing on driving commercial value from data across the Corporate Bank. Your role will involve collaborating with senior stakeholders, developing machine learning models, applying AI to deliver commercial value, and leveraging AWS services for data transformation and AI product development. **Key Responsibilities:** - Build relationships with senior stakeholders to identify opportunities for adding value through Data Science and GenAI. - Develop machine learning models and apply AI to deliver commercial value for the Corporate Bank. - Utilize AWS services for data transformation, feature engineering, AI product development, and deployment. - Communicate complex technical ideas to stakeholders through data visualization. - Collaborate with the ML Ops team to streamline project production processes. **Essential Skills and Qualifications:** - Bachelor's or master's degree in data science or equivalent commercial experience. - Experience working with senior stakeholders throughout the data science lifecycle. - Ability to translate technical work into business terms and communicate value to stakeholders. - Commercial experience in applying machine learning techniques for business value. - Strong coding skills in Python and SQL, with an understanding of key coding principles. - Familiarity with AWS data science and AI services, including SageMaker and Bedrock. - Proficiency in data visualization software, especially Tableau, with exposure to other similar tools. - Knowledge of code management methodologies and their implementation in projects. **Desirable Skills/Preferred Qualifications:** - Experience in front-end development frameworks like Angular/Rea
