Sr. Associate, Advanced Analytics And Artificial Intelligence (ai)

Toronto, ON, CA, Canada

Job Description

We are the leading provider of professional services to the middle market globally, our purpose is to instill confidence in a world of change, empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled, inclusive culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.


As a

Senior Associate in RSM's Advanced Analytics and AI Consulting practice

, you will help clients transform their businesses through the power of data, machine learning, and AI. You'll work as part of a multidisciplinary team delivering end-to-end AI and analytics solutions, spanning data integration, modeling, visualization, and applied AI use cases.


This is a

client-facing, technical consulting role

that offers the opportunity to build hands-on expertise with modern cloud data and AI technologies while helping shape the next generation of intelligent business solutions. The ideal candidate combines technical skill, curiosity, and a consulting mindset, able to bridge data science with business outcomes.

Key Responsibilities




You will 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.

Basic Qualifications



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 and willingness to travel to the US will be required, including for client meetings and conferences

Preferred Qualifications



Experience with

Azure Machine Learning

or

Azure OpenAI Service

. 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.

At RSM, we offer a competitive benefits and compensation package for all our people. We offer flexibility in your schedule, empowering you to balance life's demands, while also maintaining your ability to serve clients. Learn more about our total rewards at https://rsmcanada.com/careers/life-at-rsm/rewards-and-benefits.html.


RSM does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past, current or prospective service in the Canadian uniformed service; Canadian Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.


Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership. RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or otherwise participate in the recruiting process, please call us at 800-274-3978 or send us an email at careers@rsmus.com.


At RSM, an employee's pay at any point in their career is intended to reflect their experiences, performance, and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range.


Compensation Range: $62,000 - $99,500
Individuals selected for this role will be eligible for a discretionary bonus based on firm and individual performance.

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Job Detail

  • Job Id
    JD3041125
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, CA, Canada
  • Education
    Not mentioned