Collaborate closely with RSM’s Advanced Analytics and AI Consulting team to design, develop, and implement machine learning and AI models using Python, R, Azure Machine Learning, and Azure AI Services
Support Generative AI and AI Agent projects, contributing to prompt design, data preparation, and model evaluation
Conduct exploratory data analysis and build features to support model training and business insights
Translate business requirements into technical specifications, ensuring alignment with data and AI solution design
Develop data pipelines and analytics solutions using Microsoft Fabric, Azure Data Factory, Azure Data Lake, and Synapse
Build and maintain data visualizations and dashboards (e.g., Power BI) to communicate results effectively
Contribute to project documentation, quality assurance, and testing, ensuring accuracy and scalability of deliverables
Work collaboratively across teams, including Data Engineering, Digital Services, and Advisory, to deliver holistic client outcomes

Requirements

Bachelor’s or Master’s degree in Data Science, Computer Science, Information Systems, Engineering, Mathematics, Statistics, or related field
3+ years of professional experience in data analytics, machine learning, or business intelligence solution development
Strong proficiency in Python and/or R for data manipulation, modeling, and analysis
Demonstrated experience with data visualization and business intelligence tools (Power BI preferred)
Familiarity with Azure cloud data services such as Fabric, Data Factory, Synapse, Data Lake, and Analysis Services
Working knowledge of SQL and data integration processes
Excellent communication, teamwork, and problem-solving skills
Ability to work independently in a fast-paced, collaborative consulting environment
Passion for using AI and advanced analytics to solve real business problems
Experience with Azure Machine Learning, Azure AI Foundry, or Azure OpenAI Service (preferred)
Experience with Copilot Studio (preferred)
Exposure to LLMs, prompt engineering, or retrieval-augmented generation (RAG) patterns (preferred)
Experience with data modeling and modern data architectures (preferred)
Familiarity with MLOps, model evaluation, or model monitoring (preferred)
Experience working in cross-functional consulting teams or client-facing projects (preferred)

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

PythonRmachine learningdata analyticsdata visualizationSQLdata modelingMLOpsprompt engineeringdata integration

communicationteamworkproblem-solvingindependencecollaborationpassion for AIadaptabilityattention to detailcritical thinkingtime management

Bachelor’s degreeMaster’s degree