Job Description

Industry/SectorNot ApplicableSpecialismData, Analytics & AIManagement LevelSenior AssociateJob Description & SummaryThe OpportunityAs 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 requirementsWhat You Must Have- At least a Bachelor's degree- At least 3 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- 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 communicationTravel RequirementsUp to 80%Job Posting End DateThe 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: 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; 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; WA-Seattle; 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; IN-Indianapolis; MI-Grand Rapids; CA-Irvine; FL-Jacksonville; MO-Kansas City; NV-Las Vegas; AR-Little Rock; CA-Los Angeles; KY-Louisville; AL-Birmingham; AR-Fayetteville; FL-Miami; WI-Milwaukee; MN-Minneapolis; TN-Nashville; LA-New Orleans; NY-New York; OK-Oklahoma City; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-PortlandType: Full time

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