GenAI Python Systems Engineer – Senior Associate

Responsibilities

• Designing and optimizing algorithms and models to enhance intelligent decision-making and automation
• Developing and implementing advanced AI and machine learning solutions to drive innovation in business processes
• Transforming raw data into actionable insights to support informed decision-making and business growth
• Leveraging advanced technologies and techniques to design robust data solutions for clients
• Using Python and machine learning libraries to build scalable AI systems
• Conducting complex data analysis to identify trends and inform strategic recommendations
• Collaborating with cross-functional teams to address data challenges and improve data quality
• Building meaningful client connections and managing stakeholder expectations effectively
• Navigating complex situations to deliver quality solutions and grow personal skills
• Upholding professional and technical standards in alignment with firm guidelines and independence requirements

Requirements

• At least a Bachelor's degree
• At least 3 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
• 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
• Utilizing Python programming for AI-driven automation solutions
• Implementing machine learning libraries and NLP techniques
• Analyzing complex data to generate actionable insights
• Navigating ambiguity while maintaining client-focused solutions
• Developing meaningful client relationships through effective communication

Qualifications

• Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
• 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
• Utilizing Python programming for AI-driven automation solutions
• Implementing machine learning libraries and NLP techniques
• Analyzing complex data to generate actionable insights
• Navigating ambiguity while maintaining client-focused solutions
• Developing meaningful client relationships through effective communication

Skills

• Advanced knowledge of Python and machine learning libraries
• Experience with data analysis and interpretation
• Ability to navigate complex situations and ambiguity
• Strong collaboration and communication skills
• Ability to build and maintain meaningful client relationships

Benefits

• The salary range for this position is: $77,000 - $202,000.
• Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.
• All hired individuals are eligible for an annual discretionary bonus.
• 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

Pay

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Schedule

Not specified

Benefits

• 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

Company Information

• PwC is an equal opportunity employer
• PwC does not intend to hire experienced or entry level job seekers that 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

Application Instructions

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage: https://pwc.to/us-application-deadlines