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, 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 an 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.
1+ 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://rsmus.com/careers/working-at-rsm/benefits.
All applicants will receive consideration for employment as RSM does not tolerate discrimination and/or harassment based on race; color; creed; sincerely held religious beliefs, practices or observances; sex (including pregnancy or disabilities related to nursing); gender; sexual orientation; HIV Status; 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 US uniformed service; US Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable federal, state or local law.
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.
RSM does not intend to hire entry level candidates who will require sponsorship now OR in the future (i.e. F-1 visa holders). If you are a recent U.S. college / university graduate possessing 1-2 years of progressive and relevant work experience in a same or similar role to the one for which you are applying, excluding internships, you may be eligible for hire as an experienced associate.
RSM will consider for employment qualified applicants with arrest or conviction records in accordance with the requirements of applicable law, including but not limited to, the California Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the San Francisco Fair Chance Ordinance. For additional information regarding RSM’s background check process, including information about job duties that necessitate the use of one or more types of background checks, click here.
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: $66,100 - $117,200
