AI/ML Data Scientist

We are seeking an AI/ML Data Scientist to spearhead the evolution of our digital landscape, driving innovation and excellence.

Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making.

Accountabilities

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Collaborate with technology to specify dependencies required for analytical solutions.
• Develop high-performing analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams.
• Implement analytics and models in accurate, stable software and work with technology to operationalise them.
• Provide ongoing support for analytics and modelling solutions.
• Demonstrate conformance to Barclays Enterprise Risk Management Policies.
• Ensure development activities are undertaken within the defined control environment.

Analyst Expectations

• Perform prescribed activities in a timely manner to a high standard, driving continuous improvement.
• Require in-depth technical knowledge and experience in their assigned area of expertise.
• Lead and supervise a team, guiding professional development, allocating work, and coordinating resources.
• Demonstrate leadership behaviours: Listen and be authentic, Energise and inspire, Align across the enterprise, Develop others.
• Alternatively, develop technical expertise as an individual contributor.

Key critical skills

• Strong proficiency in Python programming for data science and machine learning applications.
• Good understanding of Artificial Intelligence and Machine Learning algorithms, including Natural Language Processing (NLP).
• Strong working knowledge of SQL for data querying and manipulation.
• Hands-on experience with Spark/PySpark for processing large datasets.
• Experience in predictive model development, validation, and implementation.
• Familiarity with DevOps and version-control tools such as Git and Bitbucket.
• Experience using JIRA for project tracking and management.

Desirable Skillsets

• Familiarity with DevOps tools such as TeamCity and Jenkins.
• Knowledge of the financial services or banking domain.
• Exposure to Generative AI (GenAI) tools.
• Working knowledge of AWS and cloud-based environments.
• Experience with Databricks for data processing and analytics.