Data Scientist, Analytics and Modelling

Job Title

Data Scientist, Analytics and Modelling

Job Description

Barclays Bank Delaware seeks a Data Scientist, Analytics and Modelling in New York, New York. The 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, acting as the bridge between business stakeholders and engineering teams.
• Leverage data strategy expertise to unlock value across key domains such as Card Partnerships, Loans, Consumer Banking, and Credit Data.
• Identify strategic opportunities to use data as an asset, influence roadmap decisions, and translate analytical insights into actionable outcomes that improve customer experience, revenue growth, and operational efficiency.
• Shape the design of data products with Partnerships Card expertise and architect and implement cloud‑native data architecture for migration to AWS (S3, Glue, Redshift).
• Embed data governance, lineage, metadata, and quality standards throughout the delivery lifecycle.
• Drive alignment with the bank’s enterprise data strategy, ensuring initiatives integrate seamlessly with the broader business architecture and comply with evolving regulatory frameworks.
• Develop advanced data validation and quality assurance processes using SQL, Python, and PySpark across TSYS data systems.
• Ensure data integrity, consistency, and reliability by proactively identifying anomalies, resolving data quality issues, and maintaining trust in critical datasets.
• Design and implement Python‑based data pipelines and utilities to process large‑scale credit datasets, including ingestion, transformation, validation, and reconciliation with Pandas, PySpark, and AWS Lambda.
• Develop reusable code modules that support automated data operations and maintain end‑to‑end data integrity across critical systems.
• Build and maintain metadata catalogs, data dictionaries, and data lineage documentation to support enterprise‑wide transparency and data governance initiatives.
• 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 to manage product backlogs, user stories, and delivery milestones.
• Enable knowledge transfer by creating documentation, reference materials, and training resources for business stakeholders.

Salary

Minimum: $169,541 per year
Maximum: $180,000 per year

Location & Travel

Must be within commuting distance of New York, NY with flexibility to travel to Wilmington, DE and occasional domestic travel to the company’s DE office.