Risk Services - AI Factory Data Scientist Internship (Jul - Dec 26)

Line of Service Assurance Industry/Sector Not Applicable Specialism Analytics Management Level Intern/Trainee 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 are part of the AI Factory, which is dedicated to developing innovative AI-powered solutions that drive value for our clients. As an intern in this team, you will be working closely with experienced professionals to develop your skills in data science, AI, and machine learning. You will have the opportunity to work on real-world projects, applying your knowledge and expertise to deliver tangible results. This internship is a fantastic chance to gain hands-on experience, build your professional network, and contribute to the development of cutting-edge AI-powered solutions. Key Responsibilities: • Work closely with experienced professionals in data science, AI, and machine learning to develop innovative solutions for clients. • Apply your knowledge and expertise to deliver tangible results on real-world projects. • Collaborate with cross-functional teams to design and develop robust data solutions. • Stay up-to-date with the latest advancements in AI, machine learning, and data science. • Develop your skills in data visualization, storytelling, and communication of complex technical information. • Participate in training sessions and workshops to enhance your knowledge and expertise. Requirements: • Bachelor's or Master's degree in a relevant field (e.g., computer science, mathematics, statistics). • Strong understanding of AI, machine learning, and data science concepts. • Proficiency in programming languages such as Python, R, or SQL. • Experience with data visualization tools like Tableau, Power BI, or D3.js. • Familiarity with cloud-based platforms like AWS, Azure, or Google Cloud. • Excellent analytical and problem-solving skills. • Strong communication and collaboration skills. Benefits: • Opportunity to work on real-world projects and deliver tangible results. • Collaborate with experienced professionals in AI, machine learning, and data science. • Develop your skills in cutting-edge technologies and tools. • Participate in training sessions and workshops to enhance your knowledge and expertise. • Gain hands-on experience working with cross-functional teams. • Build your professional network and contribute to the development of innovative AI-powered solutions.