Data Scientist, Analytics and Modelling

Job Summary

Required Qualifications

• •Must be within commutable distance of New York, NY with flexibility to travel to Wilmington, DE
• •Occasional domestic travel to work from company's DE office required
• •Use Agile methodology to deliver high impact-data solutions
• •Translate complex business requirements and technical limitations into actionable product features
• •Deliver scalable data solutions
• •Architect and implement cloud-native data architecture knowledge to support the migration of legacy, on-premises data storage systems to AWS
• •Using cloud tools (e.g., S3, Glue, and Redshift)
• •Embed data governance, lineage, metadata, and quality standards into every stage of the delivery lifecycle
• •Drive alignment with the bank's enterprise data strategy
• •Ensure they integrate seamlessly with the broader business architecture and comply with evolving regulatory frameworks
• •Develop advanced data validation and quality assurance processes across TSYS data systems using SQL, Python, and PySpark
• •Ensure data integrity, consistency, and reliability across multiple downstream banking platforms
• •Proactively identify anomalies, resolve data quality issues, and maintain trust in critical datasets
• •Design and implement Python-based data pipelines and utilities to process large-scale credit datasets
• •Using frameworks including Pandas, PySpark, and AWS Lambda
• •Develop reusable code modules that support automated data operations
• •Maintain end-to-end data integrity across critical systems
• •Build and maintain metadata catalogs, data dictionaries, and data lineage documentation
• •Facilitate and manage Agile processes to ensure clear prioritization, timely delivery and traceability of data features across cross-functional teams
• •Champion Agile product management methodologies using tools such as Jira and Confluence
• •Manage product backlogs, user stories, and delivery milestones
• •Create documentation, reference materials, and training resources to support business stakeholders
• •Demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard
• •L – Listen and be authentic
• •E – Energise and inspire
• •A – Align across the enterprise
• •D – Develop others
• •Lead collaborative assignments and guide team members through structured assignments
• •Identify the need for the inclusion of other areas of specialisation to complete assignments
• •Identify new directions for assignments and/ or projects
• •Identifying a combination of cross functional methodologies or practices to meet required outcomes
• •Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues
• •Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda
• •Take ownership for managing risk and strengthening controls in relation to the work done
• •Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function
• •Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy
• •Engage in complex analysis of data from multiple sources of information, internal and external sources
• •Communicate complex information
• •Influence or convince stakeholders to achieve outcomes
• •Demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship
• •Demonstrate the Barclays Mindset – to Empower, Challenge and Drive