Senior Associate – Advanced Analytics and Artificial Intelligence (AI)

RSM US LLP•Toronto, ON

24d•Hybrid

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.