Data Scientist, Analytics and Modelling

About the role

Barclays Bank Delaware seeks a Data Scientist for Analytics and Modelling in New York, New York (multiple positions available). This role involves delivering strategic data initiatives within a large multinational bank, including cloud migration, data platform modernization, and enterprise-wide data transformation programs.

Responsibilities

• Define and execute product maps for data assets that support critical financial, regulatory, operational, and analytical use cases.
• Design curated, reusable, and governed data products on Partnerships Card portfolios.
• Use Agile methodology to deliver high-impact data solutions by bridging business stakeholders and engineering teams, gathering requirements, translating complex business needs, and delivering scalable data solutions.
• Leverage data strategy expertise to unlock business value across key domains, including Card Partnerships, Loans, Consumer Banking, and Credit Data.
• Shape the design of data products using Partnerships Card expertise.
• Architect and implement cloud-native data architecture to support migration from legacy on-premises systems to AWS (e.g., S3, Glue, 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, ensuring integration with broader business architecture and compliance with 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 downstream banking platforms by identifying anomalies and resolving data quality issues.
• Design and implement Python-based data pipelines for large-scale credit datasets, including ingestion, transformation, validation, and reconciliation (using Pandas, PySpark, AWS Lambda).
• Develop reusable code modules to support automated data operations and maintain end-to-end data integrity.
• Build and maintain metadata catalogs, data dictionaries, and data lineage documentation for enterprise-wide transparency and governance.
• Facilitate and manage Agile processes to ensure prioritization, timely delivery, and traceability of data features across cross-functional teams.
• Champion Agile product management methodologies using tools such as Jira and Confluence.
• Enable knowledge transfer by creating documentation, reference materials, and training resources for business stakeholders.
• Identify, collect, and extract data from internal and external sources.
• Perform data cleaning, wrangling, and transformation to ensure quality and suitability for analysis.
• Develop and maintain efficient data pipelines for automated data acquisition and processing.
• Design and conduct statistical and machine learning models to analyze patterns, trends, and relationships in data.
• Develop and implement predictive models to forecast future outcomes and identify risks and opportunities.
• Collaborate with business stakeholders to seek opportunities to add value through Data Science.
• Consult on complex issues and provide advice to People Leaders for resolving escalated problems.
• Identify ways to mitigate risk and develop new policies/procedures to support governance.
• Take ownership of managing risk and strengthening controls in relation to work performed.
• Perform complex analysis of data from multiple internal and external sources to solve problems creatively.
• Communicate complex information effectively, including sensitive or difficult content.
• Influence or convince stakeholders to achieve desired outcomes.

Requirements

• Must be within commutable distance of New York, NY with flexibility to travel to Wilmington, DE.
• Occasional domestic travel to the company’s Delaware office required.

Expectations

• Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness.
• Collaborate closely with other functions and business divisions.
• Lead a team performing complex tasks, using professional knowledge and skills to impact the business function.
• Set objectives, coach employees, appraise performance, and determine reward outcomes.
• Demonstrate Barclays Values: Respect, Integrity, Service, Excellence, and Stewardship.
• Demonstrate the Barclays Mindset: Empower, Challenge, and Drive.
• For individual contributors: Lead collaborative assignments, guide team members, and identify new directions for projects.

Pay

Base salary range: $169,541 – $180,000 per year. This position is eligible for incentives pursuant to the Barclays Employee Referral Program.