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About the Role

As a GenAI Python Systems Engineer – Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Data and Analytics Engineering practice, you will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn’t clear, using these moments as opportunities to grow. In this role, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations.

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
Utilizing 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

Skills

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

Location

Up to 80% travel

Work Type

Full-time

Experience Level

Senior Associate

Education Level

Bachelor's degree

Salary/Compensations

$77,000 - $202,000

Benefits

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

About the Company

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

Equal Opportunity

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.