AI-Driven Data Analytics Intern (Summer 2027)

HF Sinclair Corporation; Dallas (TX); Presencial; USD 25.000 - 39.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical Insurance

Paid Time‑Off

Educational Reimbursement

Parental Bonding Time

401(k) Retirement Plan with match

Employee Discounts

Descripción de la vacante

HF Sinclair Corporation in Dallas, TX is seeking a Summer 2027 IT Data Analytics Intern to collaborate with cross-functional teams and vendors on data-driven decision making. You will gain hands-on experience in analytics, AI, and automation, supporting real business challenges.

Work is office-based with opportunities to design AI-driven processes, analyze data from diverse sources, and assist in ML model development while delivering compelling data visuals and reports.

Formación

• Currently enrolled in an undergraduate or master's program in CS or related field.
• Familiar with data analytics and AI/ML tools.
• Strong communication and teamwork abilities.

Responsabilidades

• Assist in designing and implementing data collection, analysis, and AI-driven processes.
• Gather, clean, and analyze data to uncover trends using AI tools.
• Support development and deployment of ML models for business use cases.
• Prepare data visualizations and reports to communicate findings.
• Collaborate with teams and manage tickets to ensure timely work.
• Participate in AI, automation projects as assigned by supervisor.

Conocimientos

Databases & Analytics

Data Visualization

AI/ML Tools

Python

Communication

Educación

Undergraduate/Master's in CS

Herramientas

Snowflake

Power BI

Azure AI

Alteryx

SQL

Descripción del empleo

HF Sinclair Corporation in Dallas, TX is seeking a Summer 2027 IT Data Analytics Intern to collaborate with cross-functional teams and vendors on data-driven decision making. You will gain hands-on experience in analytics, AI, and automation, supporting real business challenges.

Work is office-based with opportunities to design AI-driven processes, analyze data from diverse sources, and assist in ML model development while delivering compelling data visuals and reports.