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AI Development Data Analytics Intern
- Scottsdale, Arizona, United States
- Scottsdale, Arizona, United States
À propos
Design, prototype, and deploy AI-powered tools and workflows that automate or enhance existing business processes. Explore applications of large language models (LLMs) and other AI technologies to areas such as cost analysis, lease analysis, document summarization, market research, and internal knowledge management. Assist in cleaning, organizing, and analyzing datasets from multiple sources including historical costs, property management platforms (e.g., RealPage), MLS listings, and internal financial records. Support the development and maintenance of Power BI dashboards and reports that track key performance indicators across the portfolio. Collaborate with department leads to identify pain points and opportunities where AI tools can deliver measurable value. Document processes, create SOPs, and develop training materials for AI tools and data systems as needed.
Knowledge, Skills, and Abilities
Familiarity with AI/ML frameworks, APIs, or platforms (e.g Anthropic Claude, OpenAI API, etc). Exposure to Microsoft 365 ecosystem, including Excel (advanced), SharePoint, and Power Platform. Foundational understanding of data analysis concepts, including data cleaning, statistical analysis, and visualization. Experience with data engineering concepts such as ETL pipelines, database design, or cloud data platforms (Azure, AWS). Interest in real estate, finance, or business operations and a desire to apply technical skills in these domains. Strong communication skills with the ability to translate technical concepts for non-technical stakeholders. Self-starter who is comfortable working independently and managing multiple priorities in a small-team environment.
Qualifications
Currently pursuing a Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Management Information Systems (MIS), or a closely related field. Completed coursework or demonstrated experience in programming (Python, JavaScript, SQL, or similar languages). Experience with business intelligence tools such as Power BI or Tableau. Coursework or personal projects involving real estate analytics, financial modeling, or investment analysis.
Compétences linguistiques
- English
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