Internship - AI & Retail Forecast Analyst

Monster Energy • Dallas, TX

3d

About The Position

AI Data & Forecasting Intern to help revolutionize our retail
forecasting and planning. You will leverage artificial intelligence and machine learning to analyze large-scale, SKU-level, and package-level data to predict consumer demand, specifically considering the impact of promotional activities, seasonality, and external market signals. You will work closely with forecast analyst and retail planners to optimize forecast accuracy.
This hands-on internship provides an opportunity to work with cross-functional teams and gain valuable CPG industry experience.

Requirements

• Minimum 3rd year student pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics or Computer Science.
• Advanced Proficiency in AI systems
• Strong knowledge of Sales Force, Fabric and data visualization techniques.
• Proficiency in Python (including pandas, numpy, scikit-learn, statsmodels) and SQL for data manipulation
• Proficiency in SQL and experience with database management systems.
• Familiarity with AI time series forecasting techniques and machine learning principles.
• Strong analytical, quantitative, problem solving, and organizational skills; attention to detail; and ability to coordinate multiple tasks, set priorities, and meet deadlines.
• Strong communication skills and ability to work independently and collaboratively with stakeholders.
• Excellent verbal and written communication skills.

Responsibilities

• Architect and maintained high-impact AI data models and Power BI, transforming complex datasets into intuitive visualizations that drive actionable business insights.
• Collaborate across departments to extract, cleanse, and unify data from disparate systems, delivering strategic recommendations based on comprehensive analysis.
• Manage full-cycle data testing and validation protocols to ensure 100% accuracy and integrity before system integration, aligning all outputs with strict business requirements.
• Identify critical trends and patterns through deep-dive analysis, presenting data-driven findings to stakeholders to facilitate informed executive decision-making.
• Authored technical documentation and implemented process improvement methodologies to streamline reporting workflows and system architecture.
• Proactively audit data ecosystems to identify and resolve inefficiencies, boosting overall system performance and operational effectiveness.

What This Job Offers

• Career Level: Intern