AI/ML Data Scientist

Overview

Design, develop, implement and support mathematical, statistical and machine learning models and analytics used in business decision-making, with project-specific leadership on predictive solutions that integrate into existing systems and processes.

What you'll do

• Design analytics and modelling solutions to complex business problems using domain expertise.
• Specify dependencies for analytical solutions with technology, such as data, development environments and tools.
• Develop high-performing, comprehensively documented analytics and modelling solutions and demonstrate their efficacy to business users and independent validation teams.
• Implement analytics and models in accurate, stable, well-tested software and work with technology to operationalise them.
• Provide ongoing support for the continued effectiveness of analytics and modelling solutions to users.
• Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy.
• Ensure all development activities are undertaken within the defined control environment.
• Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
• Guide and persuade team members and communicate complex or sensitive information.

What you'll need

• 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 and analysing large datasets.
• Experience in predictive model development, from model building through validation.
• Understanding of the model lifecycle and model management, including monitoring, governance and implementation.
• Familiarity with DevOps and version-control tools such as Git and Bitbucket.
• Experience using JIRA for effective project tracking and management.

Nice to have

• Familiarity with DevOps and tools such as TeamCity and Jenkins.
• Knowledge of the financial services or banking domain would be advantageous.
• Exposure to Generative AI (GenAI) tools and their practical applications would be desirable.
• Working knowledge of AWS and cloud-based environments would be beneficial.
• Experience with Databricks for data processing and analytics would be an added advantage.

Details

• Based out of Gurugram.
• You may be assessed on risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, as well as job-specific technical skills.