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2026 BNY Analyst Program - Operations February Start (Pittsburgh, PA & Lake at BNY

Lake Mary, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Solution Development, Analytics, Data Preparation, Feature Engineering, Exploratory Data Analysis, Model Performance Monitoring, Technical Translation, Data Engineering, Python, R, AI/ML Libraries, SQL, Data Visualization, Cloud Platforms, Azure

Industry

Financial Services

Description

AI Solution Development & Analytics Analyze business processes to identify opportunities where AI/ML and automation can deliver value. Develop, validate, and deployment of AI and machine learning models Assist in data preparation, feature engineering, and exploratory data analysis to support modeling efforts Monitor model performance post-deployment and recommend improvements Partner with product owners, AI Hub, Ops Hub, Platform teams, and business units to understand requirements and ensure AI solutions meet business goals. Translate complex technical concepts into clear insights for non-technical stakeholders Work with data engineering teams to integrate AI models into scalable production workflows Support responsible and ethical AI practices in line with enterprise governance frameworks Participate in testing, validation, and documentation to ensure model accuracy, fairness, and compliance Proficiency with programming languages such as Python or R and experience with AI/ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch). Strong data manipulation and analysis skills, including SQL and data visualization tools (Power BI). Familiarity with cloud platforms (Azure) and data engineering concepts is a plus Graduating in Dec 2025 (U.S.) Minimum cumulative GPA of 3.0 or better Does not require sponsorship for employment visa status (now or in the future) in the country where applying.

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Responsibilities

Analyze business processes to identify opportunities for AI/ML and automation. Develop, validate, and deploy AI and machine learning models while ensuring they meet business goals.