Risk Services - AI Factory (Data Scientist)

Job description

Line of Service Assurance Industry/Sector Not Applicable Specialism Analytics Management Level Manager Job Description & Summary Job Description Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Job Description Responsibilities: Lead the development and application of Generative AI models and advanced data analysis techniques to extract actionable insights from complex datasets. Oversee risk management administrative tasks by effectively communicating and collaborating with various stakeholders. Manage and execute end-to-end projects, including clarifying requirements, devising research approaches, and ensuring timely delivery. Lead R&D initiatives to ensure the team remains at the forefront of AI advancements. Mentor junior data scientists and contribute to the growth of the team by sharing expertise and best practices. Requirements: Master's or Ph.D. degree in a Quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, etc.) with at least 5 years of working experience. Extensive experience with LLMs, Open Source, Big Data, Machine Learning, and numerical programming frameworks. Proficient in Python and other relevant programming languages. Proven track record of managing complex projects and leading teams effectively. Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? Yes Government Clearance Required? No Job Posting End Date