About The Position

RSM is a leading provider of professional services globally, focused on instilling confidence and empowering clients and people. As a Senior Associate in RSM’s Advanced Analytics and AI Consulting practice, you will help clients transform their businesses using data, machine learning, and AI. This role involves working as part of a multidisciplinary team to deliver end-to-end AI and analytics solutions, covering data integration, modeling, visualization, and applied AI use cases. It is a client-facing, technical consulting position that offers the chance to build hands-on expertise with modern cloud data and AI technologies while contributing to the development of intelligent business solutions. The ideal candidate possesses technical skills, curiosity, and a consulting mindset, capable of connecting data science with business 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.
  • Ability to travel within Canada and the U.S. to support client needs.

Nice To Haves

  • Experience with Azure Machine Learning, Azure AI Foundry, or Azure OpenAI Service.
  • Experience with Copilot Studio.
  • Exposure to LLMs, prompt engineering, or retrieval-augmented generation (RAG) patterns.
  • Experience with data modeling and modern data architectures.
  • Familiarity with MLOps, model evaluation, or model monitoring.
  • Experience working in cross-functional consulting teams or client-facing projects.

Responsibilities

  • 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.

Benefits

  • competitive benefits and compensation package
  • flexibility in your schedule
  • discretionary bonus based on firm and individual performance
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