Industry/SectorNot ApplicableSpecialismData ScienceManagement LevelDirectorJob Description & SummaryThe OpportunityAs an AI & GenAI Data Scientist-Director, 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. As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects while maintaining executive-level client relations. You will inspire others by translating vision into action, shaping client engagements, and mentoring future leaders.In this role, you will be a guardian of PwC's reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to success. You will create a healthy working environment, maximizing client satisfaction and cultivating potential in others. By actively collaborating across the PwC Network, you will leverage collective strengths to identify market gaps and convert opportunities into success for the firm. Your work will involve designing AI systems, data wrangling, and software implementation to enable scalable AI models, promoting technological advances where people and technology thrive together.Responsibilities- Leading the design and development of AI and Machine Learning solutions to transform raw data into actionable insights- Overseeing the implementation of data infrastructure and integration to support scalable AI systems- Driving business growth by identifying market opportunities and converting them into successful client engagements- Mentoring and guiding teams in the application of advanced data analytics and AI techniques- Promoting technological advancements and fostering an environment where people and technology thrive together- Collaborating with executive-level clients to shape strategic directions and deliver impactful solutions- Utilizing programming languages such as Python and C++ to develop and deploy AI models- Managing complex data analysis and confirming data quality and integrity within analytics frameworks- Encouraging creativity and innovation in problem-solving and solution development- Building and maintaining relationships with stakeholders to enhance client satisfaction and project successWhat You Must Have- At least a Bachelor's degree- At least 12 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 AI implementation and machine learning libraries- Utilizing Python and C++ for complex data analysis and modeling- Leading AI-driven automation projects with strategic mindset and innovation- Promoting technological advances in data infrastructure and integration- Cultivating potential in others through coaching and feedbackTravel RequirementsUp to 80%Job Posting End DateThe salary range for this position is: $155,000 - $410,000. 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
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