Job Description: 
  

Overview 
 

We are looking for an Apprentice that possesses a strong foundation in statistical analysis and data interpretation. This individual will be responsible for applying statistical tools to identify, analyze, and interpret patterns and trends within complex data sets, supporting both diagnostic and predictive initiatives. The role requires curiosity, attention to detail, and the ability to communicate insights effectively to drive data-informed decisions. 
  

Key Responsibilities: 

• Assist in analyzing structured and unstructured data to identify trends and insights.   
• Support the development and implementation of statistical models and machine learning Algorithms.  
• Contribute to building data pipelines and workflows that feed into both traditional ML models and Generative AI applications.  
• Clean, preprocess, and validate data to ensure accuracy and reliability.  
• Create data visualizations and dashboards to communicate insights effectively.  
• Work with cross-functional teams to understand business requirements and data needs.   
• Contribute to building data pipelines and workflows for data processing and analysis   
• Assist in model evaluation, testing, and performance monitoring.   
• Write clean, well-documented code using tools such as Python, R, or SQL.   
• Support automation of data processes and reporting.  
• Document methodologies, findings, and best practices.  

Required Qualification and Skills: 

• Bachelor's degree in data science, computer science, statistics, or related field.  
• Apply statistical techniques to analyze data, identify trends, and generate insights.  
• Basic understanding of data modeling and machine learning algorithms.   
• Knowledge of data visualization tools like Tableau, QlikView, Power BI, and similar.   
• Knowledge of data science tools and platforms.   
• Proficiency in Python, R, SQL, and familiarity with the AWS ecosystem.   
• Ability to work with cross-functional teams and translate data insights into actionable business outcomes.  
• Knowledge of Gen AI, Agentic AI, Model Context Protocol (MCP).  
• Hands-on experience setting up MCP-based workflows that translate natural language. queries into executable SQL to answer complex data needs dynamically.  

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

Autodesk has always valued flexibility in how we work. We continue to provide employees flexibility to support their work preferences wherever possible and nearly all roles are hybrid or remote, unless otherwise indicated.

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