AI & GenAI Data Scientist-Senior Associate

Industry/SectorNot ApplicableSpecialismData, Analytics & AIManagement LevelSenior AssociateJob Description & SummaryThe OpportunityAs an AI & GenAI Data Scientist-Senior Associate, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful and scalable.As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations, growing your personal brand and deepening 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. Your contributions will be crucial in transforming data into insights, driving business growth, and enabling informed decision-making.Responsibilities- Designing and implementing AI systems to transform raw data into actionable insights- Developing and deploying scalable AI and Machine Learning solutions using advanced technologies- Collaborating with clients to understand their data needs and deliver tailored solutions- Utilizing programming languages such as Python and C++ to build robust data models- Managing data pipelines and confirming data quality and integration across platforms- Applying machine learning libraries like TensorFlow and Scikit-Learn to enhance model performance- Conducting complex data analysis to inform strategic decision-making- Leveraging natural language processing and text analytics for innovative AI applications- Building and maintaining data infrastructure to support AI-driven automation- Mentoring junior team members and fostering a collaborative work environmentWhat You Must Have- At least a Bachelor's degree- At least 2 years of experienceWhat Sets You Apart- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics- 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 AI implementation and machine learning libraries- Utilizing Python for complex data analysis and modeling- Excelling in neural network design and reinforcement learning agents- Applying natural language processing techniques for text analytics- Leveraging TensorFlow and Scikit-Learn for deep learning projectsTravel 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: NY-New York; NC-Raleigh; NC-Charlotte; IL-Chicago; 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; 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; NV-Las Vegas; 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; OK-Oklahoma City; PA-Philadelphia; AZ-Phoenix; PA-Pittsburgh; OR-PortlandType: Full time