Data Scientist-AVP jobs in United States
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Barclays · 1 day ago

Data Scientist-AVP

Barclays is redefining the future of banking and is seeking a Data Scientist - AVP to enhance their modeling and analytics capabilities. The role involves designing, developing, and deploying machine learning models to improve operational efficiency and support strategic decision-making.

RetailFinanceBankingConsumer GoodsConsumerFinancial ServicesWholesale
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H1B Sponsor Likelynote

Responsibilities

Identification, collection, extraction of data from various sources, including internal and external sources
Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
Development and maintenance of efficient data pipelines for automated data acquisition and processing
Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

Qualification

Machine LearningPythonAWSMLOpsStatistical MethodsData PipelinesGenerative AIDockerKubernetesBusiness AcumenCollaborationStrategic Thinking

Required

Relevant knowledge in areas such as data science, computer science, statistics, or other related technical fields
Proven track record of designing, building, and deploying production-grade machine learning models at scale using Python (scikit-learn, TensorFlow, PyTorch) in cloud environments, with demonstrable business impact
Experience in advanced statistical methods, feature engineering, and model optimization, with experience handling complex, high-dimensional datasets and real-time streaming architectures (Kafka, Kinesis, Spark Streaming)
Practical experience architecting end-to-end ML pipelines on cloud platform such as AWS or Azure, including S3 for data lakes, SageMaker for model training/deployment, Lambda for serverless inference, and Bedrock for foundational models, with understanding of MLOps best practices
Experience containerizing ML applications with Docker and orchestrating them with Kubernetes for scalable deployments

Preferred

Exposure to generative and agentic AI frameworks, including techniques for fine-tuning and orchestration
Familiarity with MLOps practices and tools for model lifecycle management
Prior experience in financial services, risk modeling, or operational analytics

Benefits

Medical, dental and vision coverage
401(k)
Life insurance
Other paid leave for qualifying circumstances

Company

Barclays

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Barclays is a transatlantic consumer and wholesale bank with global reach, offering products, and services.

H1B Sponsorship

Barclays has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (621)
2024 (610)
2023 (639)
2022 (720)
2021 (571)
2020 (448)

Funding

Current Stage
Public Company
Total Funding
unknown
1986-09-09IPO

Leadership Team

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Geoffrey Belsher
Chief Executive Officer for Canada
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David Morris
Salesforce Platform Product Owner
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Company data provided by crunchbase