[Remote] GenAI Python Systems Engineer – Experienced Associate
Note: The job is a remote job and is open to candidates in USA. PwC is a professional services firm seeking a GenAI Python Systems Engineer – Experienced Associate to support client engagements within its Data and Analytics Engineering practice. The role designs and implements AI systems, develops data pipelines and machine learning models, performs complex data analysis, and helps deliver scalable AI-driven solutions.
Responsibilities
- Designing and implementing AI systems using Python and machine learning libraries such as Scikit-Learn
- Developing data pipelines and models to transform raw data into actionable insights for clients
- Collaborating with team members to support AI-driven automation and cognitive solutions
- Conducting complex data analysis to discern patterns and inform decision-making
- Applying programming languages to build scalable AI and machine learning solutions
- Confirming data quality and integrity throughout the development process
- Engaging in active listening and accepting feedback to enhance personal growth and team performance
- Building commercial awareness by understanding how the business works and its impact on client solutions
- Upholding professional and technical standards, including the Firm's code of conduct and independence requirements
Skills
- - At least a Bachelor's degree
- - At least 1 years of experience
- Up to 80%
- - Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- - Demonstrating proficiency in Python and Scikit-Learn for machine learning
- - Utilizing AI implementation skills in client-facing projects
- - Engaging in complex data analysis and data modeling
- - Applying machine learning libraries to enhance data-driven solutions
- - Adapting to fast-paced environments with diverse client needs
Benefits
- All hired individuals are eligible for an annual discretionary bonus.
- Medical benefits
- Dental benefits
- Vision benefits
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
Company Overview