Python Automation & AI Solutions Developer

About the Role

Key Responsibilities

• Designs and develops robust Python-based automation solutions to improve operational efficiency, reduce manual effort, and enhance process quality.
• Maintains and optimizes automation scripts and AI integrations across multiple business units and domains.
• Builds scalable, high-impact solutions that combine Python automation with intelligent technologies such as OCR, NLP, and machine learning.
• Develops and automates data extraction, transformation, and reporting workflows using structured and unstructured data sources.
• Maintains, troubleshoots, and enhances existing automations; identifies root causes and implements long-term fixes for process issues.
• Collaborates with business users, analysts, and other developers to gather requirements, validate logic, and refine automation opportunities.
• Performs unit testing validation and deployment of automation solutions in a controlled and iterative manner.
• Maintains a strong understanding of enterprise automation standards, process governance, and documentation best practices.
• Analyzes business problems using data mining and statistical techniques to inform and drive automation design decisions and operations strategies.
• Translates complex business rules and data conditions into modular, reusable Python logic within a structured code base.
• Participates in agile development cycles, contributing to backlog grooming, Sprint planning, and demonstration of deliverables.
• Documents process designs, code logic, and user instructions to support long-term maintenance, scalability, and knowledge transfer.

Requirements

• Bachelor's or Masters in Computer Science, Data Science, Engineering, or related field.
• 4+ years of experience in Python development, with demonstrated use in automation, scripting, or data pipelines.
• Design, build, and deploy end-to-end automation solutions in Python/enterprise tools (i.e., RPA Platforms) to eliminate manual processes across various business units.
• Integrate intelligent components (e.g., OCR, NLP, ML) into process automation using open-source or enterprise tools/capabilities.
• Perform data mining and transformation to support automation use cases and decision logic.
• Analyze large datasets to identify process inefficiencies, automation opportunities, and predictive insights.
• Develop reusable modules for file processing (Excel, PDF, CSV), API integration, and database interaction.
• Create scalable scripts for unattended bot execution, including logging, error handling, and exception management.
• Support orchestration of jobs and batch execution via schedules or workflow engines.
• A familiarity with Champion/Challenger (A/B Testing) methodologies and standards.
• A strong understanding and/or aptitude for common Data Mining and Analytics methods and techniques such as Data Preparation & Feature Engineering, Pattern Discovery & Clustering, Predictive Modeling & Machine Learning, Natural Language Processing (NLP), Statistical Analysis & Testing, Data Visualization & Insight Delivery, and Integration with Automation.
• Collaborate with business partners, analysts, and data scientists to deliver impactful solutions that combine automation with insight.
• Contribute to solution design, documentation, testing, and deployment with a structured deployment lifecycle (i.e., Agile).

Nice to Have

• Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education.

Qualifications

• Bachelor's or Masters in Computer Science, Data Science, Engineering, or related field.

Benefits & Perks

• Santander Benefits - 2025 Santander OnGoing/NH eGuide (foleon.com)
• The base pay range for this position is $112,500 - $185,000 per year.