Data Scientist- Associate

About the role

KPMG is seeking a Data Scientist to join our Audit Technology Alliance organization. This role focuses on developing and implementing core components of generative AI solutions, collaborating with cross-functional teams, and driving product advancement within our established architecture.

Responsibilities

• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
• Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
• Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
• Focus on learning and applying our technology stack, including LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
• Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
• Participate actively in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications

• Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
• Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred. Minimum of a Bachelor's degree is required
• Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred
• Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
• Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like ADO and Github
• Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

Benefits

KPMG offers a comprehensive, competitive benefits package, including:

• A variety of medical and dental plans, vision coverage, disability and life insurance
• 401(k) plans
• A robust suite of personal well-being benefits to support mental health
• Personal Time Off per fiscal year, based on job classification, standard work hours, and years of service
• Two annual breaks where employees will not be required to use Personal Time Off: one at year end and another around the July 4th holiday
• Paid holidays as published in the annual holiday calendar

Additional details about benefits can be found on the KPMG US Careers site.

Pay

KPMG complies with all local and state regulations regarding salary transparency. Salary ranges are determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications, and market considerations. For specific salary ranges by city outside of California, visit KPMG's Pay Transparency page.