AI Engineer / Data Scientist, AI Experienced Associate

PwC offers an on-site opportunity in Chicago, IL within the Digital Assurance & Technology team, designed for someone who thrives in a collaborative, learning-forward environment. You will design, build, and deploy scalable AI and ML solutions, working closely with data scientists, ML engineers, backend and frontend developers, and product teams to test and deliver AI powered products that drive real client impact. The role comes with a competitive salary range of USD 63,000 to 141,500 per year and a comprehensive benefits program, reflecting PwC’s commitment to professional growth and work-life balance. Benefits Medical Dental Vision 401k Holiday pay Vacation Personal and family sick leave Annual discretionary bonus The Opportunity As part of the AI Engineering team within the Digital Assurance & Technology group, you will bring AI and ML development and testing expertise to a versatile role. You will collaborate with cross-functional teams to build and deploy AI powered solutions within real-world applications, helping to test and deliver impactful products. This role emphasizes practical application, continuous learning, and adherence to high professional and technical standards. Responsibilities Design and implement AI systems that translate raw data into actionable insights Develop scalable machine learning models to support client decision-making Collaborate with cross-functional teams to integrate AI into existing platforms Conduct data wrangling and preprocessing to prepare datasets for analysis Apply advanced algorithms to boost AI model performance Build and deploy software systems that leverage AI and ML technologies Analyze complex data sets to identify patterns and inform business strategies Support client engagements by delivering quality work across diverse projects Engage in continuous learning to deepen AI engineering skills Uphold professional and technical standards while contributing to team success Requirements At least a Bachelor's degree At least 1 year of experience Technologies AWS Google Cloud Microsoft Azure Databricks Snowflake #J-18808-Ljbffr PwC