Top AI & Machine Learning Jobs

Supports data science solutions for natural gas utility operations through exploratory analysis, feature engineering, statistical and machine learning model development, forecasting, optimization, data validation, visualization, and documentation. The intern will work with operational, weather, telemetry, billing, and usage data; contribute to Microsoft Fabric pipelines; complete an assigned project; and present findings to data teams and leadership.

Leads the identification, design, evaluation, integration, implementation, and adoption of AI solutions across the firm and portfolio companies. Partners with business, Technology, and Legal teams to apply generative AI, intelligent agents, enterprise search, workflow automation, and other technologies to business processes. Establishes reusable implementation playbooks, incorporates security and responsible AI controls, measures business impact, and drives continuous improvement.

Translate business objectives into actionable data analysis, analyze large datasets, apply statistical and machine learning methods, and clearly communicate findings to technical and non-technical audiences. The role requires Hadoop ecosystem expertise, Python scripting, strong statistical knowledge, sampling and analytical skills, and business domain experience in retail, enterprise mobility, or healthcare.

Develop and maintain the U.S. Census Bureau’s LLM Autocoder using Python, LLMs, prompt engineering, text classification, structured outputs, and testing. Build survey-specific pilots, troubleshoot production issues, evaluate model changes, and collaborate with data scientists and MLOps engineers on AWS deployment, rollback, and verification. Maintain documentation and support government handoff while meeting Census security and operational requirements.

Data Science Interns analyze and clean large datasets, create reports, dashboards, and visualizations, and support predictive modeling, statistical analysis, and machine learning initiatives. They identify trends, validate data quality, collaborate with business partners, and present insights and recommendations. The role offers hands-on experience with business data, mentoring, and analytics projects while requiring strong analytical, communication, and organizational skills.

Develop and deploy data analytics, machine learning, and AI applications. Responsibilities include analyzing complex datasets, building models, deploying containerized applications to Kubernetes, integrating LLM-powered features, monitoring and troubleshooting AI systems, and creating Streamlit prototypes. The intern will collaborate with data science teams and stay current with AI, data science, and cloud-computing practices.

Leads the News + AI Innovation Lab at Arizona State University, establishing its scope, partnerships, and public presence. Owns AI product vision, prioritization, road mapping, iteration, testing, user feedback, implementation, and partner onboarding. Develops responsible technology initiatives at the intersection of journalism, research, and technology while collaborating with faculty, fellows, and cross-functional staff.

Senior Data Scientist partnering with Product, Design, Engineering, Finance, and Marketing to drive user growth through data science, causal inference, experimentation, and analytics. Responsibilities include developing LTV and retention models, designing A/B tests, creating measurement frameworks and dashboards, translating complex analyses into recommendations, and strengthening data foundations for scalable experimentation.

Build ECP’s platform organization and AI foundation, including agent tool surfaces, retrieval and context layers, model-serving paths, evaluation systems, and customer-facing agent workflows. Own shared identity, data, messaging, and event-driven services used across teams. Establish reliable interfaces between legacy ColdFusion and newer services, implement contract testing, optimize data performance, and support production systems handling governed clinical data in a multi-tenant HIPAA SaaS environment.

Summer 2027 internships provide hands-on experience across data analytics, business intelligence, data engineering, data science, machine learning, AI, and data platforms. Interns may analyze and prepare data, develop dashboards and pipelines, improve data quality and governance, support predictive models, and apply AI to business problems. Assignments are onsite in Winston-Salem, North Carolina, with technologies and responsibilities determined by business needs.