GenAI Python Systems Engineer - Experienced Associate
$63k - $140kPricewaterhouseCoopers
Industry/SectorNot ApplicableSpecialismData, Analytics & AIManagement LevelAssociateJob Description & SummaryThe OpportunityAs 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.As an Associate, 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 requirementsWhat You Must Have- At least a Bachelor's degree- At least 1 years of experienceWhat Sets You Apart- 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 needsTravel RequirementsUp to 80%Job Posting End DateThe 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. 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: 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: more about how we work: 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.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: IL-Chicago; NC-Raleigh; NC-Charlotte; OH-Cincinnati; OH-Cleveland; SC-Columbia; OH-Columbus; TX-Dallas; MD-Baltimore; VA-Richmond; NY-Rochester; IL-Rosemont; CA-Sacramento; MA-Boston; MO-St. Louis; UT-Salt Lake City; TX-San Antonio; CA-San Diego; CA-San Francisco; CA-Silicon Valley; PR-San Juan; WA-Seattle; SC-Spartanburg; NY-Albany; CT-Stamford; FL-Tampa; GA-Atlanta; OH-Toledo; TX-Austin; OK-Tulsa; DC-Washington; CO-Denver; IA-Des Moines; MI-Detroit; NY-Buffalo; NJ-Florham Park; TX-Fort Worth; NC-Greensboro; CT-Hartford; TX-Houston; MI-Grand Rapids; IN-Indianapolis; CA-Irvine; FL-Jacksonville; MO-Kansas City; AR-Little Rock; CA-Los Angeles; KY-Louisville; AL-Birmingham; AR-Fayetteville; NY-Melville; FL-Miami; WI-Milwaukee; MN-Minneapolis; TN-Nashville; LA-New Orleans; US-Hybrid; NY-New York; OK-Oklahoma City; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-PortlandType: Full time
$77k - $202k
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$75.4k - $94.2k
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