GenAI Python Systems Engineer – Experienced Associate

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

Requirements

• At least a Bachelor's degree
• At least 1 years of experience
• 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

Qualifications

• 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

Skills

• Proficiency in Python and Scikit-Learn for machine learning
• Experience with AI implementation in client-facing projects
• Ability to conduct complex data analysis and data modeling
• Knowledge of machine learning libraries to enhance data-driven solutions
• Ability to adapt to fast-paced environments with diverse client needs

Benefits

The salary range for this position is: $63,000 - $140,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.

To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.