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PwC is seeking an AI & GenAI Data Scientist-Senior Associate to optimize operations through data insights. The role requires a Bachelor's degree and 4 years of experience in AI solution development, focusing on building client relationships and delivering quality results. Successful candidates will be proficient in data manipulation and visualization, and comfortable handling ambiguity.
Join to apply for the AI & GenAI Data Scientist-Senior Associate role at PwC.
Specialty/Competency: Data, Analytics & AI
Industry/Sector: Not Applicable
Time Type: Full time
Travel Requirements: Up to 80%
At PwC, our data and analytics teams focus on leveraging data to drive insights and enable informed business decisions. Responsibilities include utilizing advanced analytics techniques to optimize operations and achieve strategic goals, extracting insights from large datasets, and supporting data-driven decision-making through data manipulation, visualization, and statistical modeling.
The role emphasizes building meaningful client relationships, managing complex situations, and delivering quality results. The candidate should be comfortable with ambiguity, proactive in asking questions, and eager to grow their technical expertise and personal brand.
Skills: Effective communication, problem-solving using diverse tools and methodologies, critical thinking, understanding business context, self-awareness, data interpretation, and adherence to professional standards.
Minimum Degree: Bachelor's Degree
Experience: 4 years of relevant experience in AI/GenAI solution development, including model development, prompt engineering, programming (e.g., Python), and client collaboration.
Additional skills include managing AI teams, expertise in Python and AI frameworks, experience with cloud platforms (Azure, AWS, GCP), and familiarity with version control and CI/CD processes.
Application deadline details and salary range are provided in the original posting. PwC is an equal opportunity employer and considers legal and local compliance for employment practices.
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