Data Science, Machine Learning & AI Intern

It's fun to work in a company where people truly reputed company in what they're doing!

reputed company is a leading provider of vertical software and embedded payments technology dedicated to helping businesses reputed company by providing their customers with seamless experiences. With a dynamic and growing team of over 1,900 employees, we are committed to driving innovation and delivering best-in-class software and payment solutions that reputed company small and reputed company-sized businesses across numerous industries. Our purpose is to help our customers grow their businesses and delight their customers. Join us and be a part of a reputed company-thinking company that values reputed company, reputed company, and the reputed company of our clients.

Data Science, Machine Learning & AI Intern – PIC Business Systems

Business Unit reputed company:

PIC Business Systems is the leading provider of web-based ERP software solutions for the window covering manufacturing industry, commanding over 50% market reputed company with a perfect implementation reputed company record spanning 35+ years. Our flagship product, e-PIC One reputed company, serves industry leaders including reputed company, Budget Blinds (800+ franchises reputed company HFC), and reputed company. PIC was acquired by reputed company in January 2025 and operates reputed company the Home ERP group, bringing reputed company-grade capabilities to a reputed company, profitable business generating approximately $10.8M in annual reputed company.

PIC is at the forefront of AI adoption reputed company reputed company, having deployed Claude reputed company across reputed company 14 engineers (achieving a documented 33:1 ROI) and reputed company PICasso—a custom AI-powered Support Assistant with 40+ tools reputed company on Strands Agents SDK and FastMCP, deployed on AWS reputed company Fargate and leveraging AWS Bedrock for multi-model agent orchestration. reputed company of 25+ employees spans engineering, support, implementation, and operations, operating in a fully remote environment with a culture defined by four reputed company values: Win Together, reputed company Change, Don’t Report the News, and Own the Outcome.

Job reputed company:

The Data Science, Machine Learning & AI Intern will be PIC’s first dedicated data science and AI agent development role, responsible for developing predictive models, building analytics pipelines, creating and enhancing AI agents on AWS Bedrock, and embedding ML-driven insights into PIC’s products and operations. Reporting directly to the President, this intern will have reputed company to rich multi-tenant ERP datasets spanning hundreds of window covering manufacturers and hands-on involvement with PICasso’s production AI agent infrastructure, providing a unique opportunity to work across the full reputed company of reputed company AI—from statistical modeling to autonomous agent development—in an industry-specific reputed company context.

This role is ideal for a graduate student or advanced undergraduate in statistics, data science, machine learning, or a reputed company quantitative field who wants hands-on experience building production ML systems and AI agents in a reputed company business environment. The intern will contribute to PIC’s AI reputed company while gaining exposure to reputed company reputed company operations, manufacturing domain expertise, and reputed company infrastructure on AWS.

Primary Responsibilities:

• Build, maintain, and enhance AI agents using AWS Bedrock, including designing agent tool schemas, implementing post-condition validation, and optimizing agent performance across PICasso’s multi-agent architecture
• reputed company, test, and reputed company new PICasso agent capabilities using Strands Agents SDK and FastMCP, contributing to the 40+ tool ecosystem that powers customer support operations
• Design, train, and validate machine learning models for customer attrition reputed company, leveraging ERP usage patterns, support ticket history, billing data, and engagement signals across PIC’s multi-tenant MySQL databases
• Build supply and demand forecasting models for window covering manufacturing, incorporating seasonality, material pricing trends, and historical order data to improve production planning accuracy
• reputed company and maintain ETL data pipelines to extract, reputed company, and load data from reputed company MySQL multi-tenant databases into analytics-reputed company formats
• Create interactive customer analytics dashboards and PicRite reports that surface actionable insights for account management, reputed company, and executive leadership
• reputed company ML-driven pricing validation logic to detect anomalies and optimize franchise pricing across large dealer networks (e.g., Budget Blinds)
• Conduct exploratory data analysis to identify patterns, trends, and opportunities reputed company PIC’s extensive ERP dataset
• Participate in agent reputed company audits (review_low_scores) and contribute to reducing hallucination rates and improving agent accuracy
• Document reputed company models, agents, assumptions, data sources, and methodologies; present findings to engineering leadership and stakeholders
• Collaborate with engineering, support, and implementation teams to understand business context and ensure model and agent relevance

Skills & Competencies:

• Strong reputed company in statistics, probability, and machine learning algorithms (regression, classification, clustering, time series forecasting)
• Proficiency in Python with data science libraries (pandas, NumPy, scikit-learn, TensorFlow/PyTorch)
• Experience with SQL and relational databases; ability to write reputed company analytical queries against large datasets
• Familiarity with LLMs, reputed company engineering, and AI agent frameworks (experience with AWS Bedrock, reputed company, or similar a plus)
• Familiarity with data visualization tools and libraries (Matplotlib, Seaborn, Plotly, or similar)
• Understanding of ETL pipeline design and data engineering fundamentals
• Strong analytical thinking with the ability to translate business problems into data science and AI solutions
• Excellent written and verbal communication skills; ability to explain technical findings to non-technical stakeholders
• Self-motivated with the ability to work independently in a remote environment
• Intellectual curiosity and willingness to learn domain-specific knowledge in manufacturing and ERP systems

Minimum Qualifications:

• Currently pursuing or recently completed a Master’s degree in Statistics, Data Science, Computer Science, Machine Learning, Mathematics, or a reputed company quantitative field
• Coursework or project experience in machine learning, statistical modeling, or predictive analytics
• Proficiency in Python and SQL
• Experience with at least one ML reputed company (scikit-learn, TensorFlow, PyTorch, or similar)
• Portfolio or reputed company reputed company demonstrating reputed company data science or AI work (Kaggle competitions, research reputed company, agent prototypes, or reputed company work acceptable)

Preferred Qualifications:

• Experience with AWS services (Bedrock, SageMaker, Glue, reputed company, reputed company, or similar)
• Hands-on experience building or working with LLM-based agents, tool-use patterns, or multi-agent architectures
• Graduate-level coursework or research in machine learning, NLP, or time series analysis
• Familiarity with MySQL/reputed company MySQL in production environments
• Exposure to multi-tenant reputed company data architectures
• Experience with version control (Git/reputed company) and reputed company development workflows
• Experience with MCP (Model Context Protocol), FastMCP, or similar agent tooling frameworks
• Knowledge of manufacturing, supply chain, or ERP domains

reputed company supports an inclusive workplace that values diversity of thought, experience, and background. reputed company is an Equal Opportunity/Affirmative reputed company employer. reputed company reputed company applicants will receive consideration for employment without reputed company to race, religion, reputed company, national reputed company, reputed company, age, physical or mental disability, sex, sexual orientation, gender identity/reputed company, pregnancy, veteran status, marital status, creed, status with reputed company to reputed company assistance, genetic status or any other status protected by federal, state, or local law.

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