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About the Role

As a GenAI Python Systems Engineer – Experienced Associate, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights that drive business growth. Within our Data and Analytics Engineering practice, you will apply data, algorithms, and software engineering to build and deploy AI and Machine Learning solutions at scale, enabling informed decision-making and innovation. You will focus on learning and contributing to client engagements while developing your skills and knowledge to deliver quality work. You will adapt to working with a variety of clients and team members, each presenting unique challenges and opportunities for growth. You are expected to take ownership and consistently deliver work that drives value for our clients and success as a team, building a personal brand and opening doors to more opportunities. In this role at PwC, you will engage in designing AI systems, data wrangling, and software implementation to enable scalable AI models. You will be part of a fast-paced environment, where every experience is an opportunity to learn and grow, contributing to the firm's success and your professional development.

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

Skills

Python
Scikit-Learn
AI implementation
Complex data analysis
Data modeling
Machine learning libraries

Location

Remote

Work Type

Full-time
Contract

Experience Level

Associate
Experienced

Education Level

Bachelor's degree

Salary/Compensations

$63,000 - $140,000

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

About the Company

PwC is an equal opportunity employer.
Learn more about how we work: https://pwc.to/how-we-work

Equal Opportunity

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.
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. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.