Data Scientist, Analytics and Modelling

Job description

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.

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Who can apply

Review the original listing for work authorization, qualifications and employer requirements.