As an AI Implementation Intern at Apache, you will be responsible for working with executive and operational leaders to understand what they need, then collaborating with the Business Intelligence team to build in-house systems and tools that meet those needs. The work uses large language models (LLMs), cloud services and company data to turn a leader's problem into a working tool.
Responsibilities
Meeting with executive and operational leaders to understand their needs and the problems they want to solve
Working with the Business Intelligence team to design and build in-house systems and tools that meet those needs
Writing and testing prompts for LLMs and building AI tools that automate routine tasks
Managing code in GitHub and supporting cloud deployment of tools and databases
Collaborating with team members, leaders, and other departments
Requirements
Pursuing or holding a bachelor's degree in Computer Science, Data Science, Information Systems, Engineering or a related field, or equivalent hands-on experience
Concevoir et mettre en œuvre des architectures de données modernes (Data Platform, Data Lake, Data Warehouse, Lakehouse) pour des clients de secteurs variés.
Responsibilities
Concevoir et mettre en œuvre des architectures de données modernes (Data Platform, Data Lake, Data Warehouse, Lakehouse)
Définir les modèles de données, les flux d’intégration et les standards d’architecture permettant de répondre aux besoins métiers et analytiques
Accompagner les clients dans leurs programmes de modernisation et de migration vers le Cloud
Participer à la définition des stratégies Data et des feuilles de route de transformation
Garantir la performance, la scalabilité, la sécurité et la qualité des plateformes de données
Collaborate with the project team to translate business requirements into technical solutions, providing design guidance and mentoring team members while ensuring system scalability and security.
Compensation
starting in the range of $105,050.00 - $149,700.00 USD annually for full time employees
Responsibilities
Collaborate with the project team to understand business requirements and translate them into technical solutions.
Create and maintain logical and physical design artifacts, ensuring alignment with business needs and project constraints.
Assist in defining high-level and low-level tasks for the technical team, ensuring clarity and feasibility.
Work closely with individual team members to estimate and refine task durations, providing guidance when needed to keep the project on schedule.
Provide technical design guidance to ensure scalability and extensibility of solutions.
Responsible for interpreting, reviewing, and analyzing benefit plan designs and programming or auditing benefits within the Benefit Files and RULEs databases to ensure accurate claims and eligibility processing.
Responsibilities
Interprets, analyzes, and documents quality solutions to meet plan design specifications
Programs and/or performs quality control audits of benefit data structures, RULEs, reports, and testing scenarios
Coordinates with information systems and business customers on development, setup, and testing of new and existing benefit data structures and RULEs
Develops process solutions to claims adjudication and eligibility
The Supply Chain and Procurement intern will support Hypertherm Associates’ Waterjet business through two project-based assignments focused on inventory optimization and practical applications of agentic AI.
Compensation
$0.00-$0.00 Hourly
Responsibilities
Analyze business data, improve decision-making, and develop repeatable tools
Work with Procurement, Planning, Engineering, Quality, Operations, Finance, and other stakeholders
Inventory segmentation and replenishment recommendation
Develop two agentic AI prototypes with documented assumptions and limitations
Source appendices, test cases, output templates, and human-review requirements
Requirements
Bachelor’s or master’s degree in Supply Chain Management
Responsible for analyzing consumer, market, and customer data to make business building recommendations to category management and store teams, and assisting in developing location-specific objectives to achieve operating objectives and standards.
Compensation
The role has a starting salary range of $60,000-$83,000 per year.
Responsibilities
Partner with eCommerce Operations Manager to set and monitor online shopper KPIs and ensure these are achieved, providing training as necessary
Ensure all stores have proper working equipment necessary for success
Optimize shopping processes to improve efficiencies including time slots offered and picking processes and methods
Assist with maintaining relationships with third party partners and ensure successful representation of the Lunds & Byerlys brand
Drive third party partner sales by ensuring accurate product catalog information and sharing sales and promotion information
Requirements
Bachelor’s degree in business or equivalent experience
The Director of Strategic Analytics leads LSU's strategic analytics function within ODSA, designing and conducting analyses that inform policy and strategic decisions by the Provost, the Chancellor, executive leadership, and colleges.
Responsibilities
Lead strategic analytics and decision support for the university
Consult with executive leadership, colleges, and administrative units to define analytical questions, scope projects, and recommend appropriate data and methods
Design and conduct analyses using methods such as regression, predictive modeling, enrollment and financial forecasting, quasi-experimental program evaluation, and scenario modeling
Prepare briefs, memos, and presentations that translate results into clear recommendations for the Provost, Chancellor, and executive leadership
Support institutional performance and benchmarking work
Requirements
Bachelor's degree in Statistics, analytics, data science, economics, education, public policy, or a related quantitative or social science field
Master's degree in Statistics, analytics, data science, economics, education, public policy, or a related quantitative or social science field
Nice to have: Master's degree in Statistics, analytics, data science, economics, education, public policy, or a related quantitative or social science field
Nice to have: 7 or more years, including supervisory or project leadership experience
Nice to have: Higher education analytics or institutional research
The Senior Institutional Research Analyst completes federal, state, and national surveys and supports compliance reporting, including maintaining and modifying the programs that produce the data.
Responsibilities
Prepare reports and respond to surveys from state and federal agencies, national organizations, university data exchanges, and campus administrators.
Coordinate with campus offices to obtain, validate, and reconcile data, and maintain survey documentation and the reporting calendar.
Compile, analyze, and present data on students, personnel, and finance, including peer comparisons for senior university leadership.
Modify, maintain, and develop programs and queries that generate survey and compliance reporting data.
Extract, transform, and validate data from Workday and legacy systems.
Requirements
Bachelor's degree in statistics, mathematics, computer science, data science, information systems, economics, social sciences, or related field
Nice to have: IPEDS
Nice to have: higher education student data systems