Risk Services - Digital Solutions Risk AI Services Year-End Internship (Dec 25 - Feb 26)

Line of Service Assurance Industry/Sector Not Applicable Specialism Risk Management Level Intern/Trainee Job Description & Summary At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We're a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com. Our Risk Services Practice provides an invaluable safeguard in today's complex operating environment with insights and independent assurance. We work with clients to deliver business control to help them to protect and strengthen every aspect of their business from people to performance, systems to strategy, business plans to business resilience. We help clients manage, mitigate and control risks from potential cybersecurity breaches to possible breaks in the supply chain. We assess and prepare businesses by looking into their technology, finance, data analytics, regulatory requirements, data security and privacy, internal audit, and the third parties our clients rely on, to help clients deliver quality results and meet their strategic objectives. RAIS brings together a diverse team of experts dedicated to building trust in AI and data-driven solutions. As trusted advisors, we empower organizations to confidently harness the transformative potential of AI and data while ensuring these technologies are governed by robust frameworks. We enable clients not only to manage risk but also to unlock strategic growth opportunities. At the core of our offerings is the facilitation of AI and data-driven strategies, with a strong emphasis on implementing tailored data governance and AI risk controls. We work alongside clients to develop comprehensive trust frameworks, validated controls, and governance structures that safeguard their critical data assets and models. By building innovative data platforms and AI solutions, we nurture client confidence in navigating the complex landscape of data and AI technology. Join a team committed to pioneering trusted AI capabilities and governing data assets to deliver insights that drive organizational success and integrity. How will you value-add? As an Intern within RAIS, you will collaborate with experienced problem-solvers and subject matter experts to tackle intricate business challenges from strategy through execution. Your contributions will be essential to delivering impactful solutions for our clients, spanning the spectrum of AI and data-related services. Key responsibilities and skillsets include: · Foundational Knowledge of Technology: Demonstrates a foundational knowledge of technology concepts and applications and how they can be applied to solve real-world problems. Additionally, the ability to stay updated with the latest technological trends and advancements are essential. · Problem Solving and Analytical Skills: Leverage strong analytical and problem-solving skills to address complex business challenges, validate and interpret data, and provide insightful recommendations that drive strategic and executional decisions. · Client Relationship Management: Build and maintain strong, trusted relationships with clients, acting as a trusted advisor. Demonstrate a deep understanding of client needs and ensure that engagements are aligned with client objectives and strategic outcomes. · Team Collaboration: Collaborate effectively within diverse teams and with external stakeholders. Utilize excellent interpersonal skills to manage resources and build positive working relationships across various levels, ensuring cohesive team dynamics. · Communication Skills: Exhibit clear and persuasive communication skills, both verbally and in writing. Articulate ideas, solutions, and insights effectively to ensure recommendations and findings are well-understood by clients and team members. · Professionalism and Integrity: Uphold high standards of professional conduct and demonstrate integrity in all interactions. Commit to ethical practices and transparency, building trust and credibility with clients, team members, and stakeholders. · Continuous Learning and Adaptability: Embrace a growth mindset and demonstrate a commitment to continuous learning. Stay current with industry trends and leading practices, and show flexibility to handle ambiguity and adapt to the changing needs of the team and clients. About you While diverse backgrounds and experiences are valued, ideal candidates possess a majority of the following qualifications: · Fresh graduates with a bachelor's or master's degree in analytically and quantitatively rigorous disciplines, such as Accounting, Actuarial Science, Business Analytics, Computer Science, Economics, Engineering, Finance, Information Systems, Mathematics, Statistics, or Software Engineering. · Demonstrated passion for technology, with experience in the following domains: o Foundational Platforms Proficiency: Demonstrates knowledge and practical experience with foundational platforms like AWS, Azure, and GCP. o Data Visualization Skills: Possesses foundational knowledge in data storytelling and visualization using tools like PowerBI and Tableau. Capable of transforming complex data sets into intuitive visual formats that convey insights effectively. o Requirement Translation and Technical Logic Design: Able to effectively interpret client needs and translate them into actionable technical solutions. Proficient in bridging the gap between business challenges and technical implementations, ensuring clear logic and structured transformations. o Data: Demonstrates a foundational understanding of data structures, database systems, and data processing techniques. Desired skills include: § Big data: · Graph and NoSQL databases (e.g. Elasticsearch, Neo4J, MongoDB, Cassandra) · Data lake and warehousing solutions (e.g. ADLS, Amazon Redshift, SSMS, Snowflake, Databricks). § Data architecture design and assessment (e.g. patterns to handle batch ingestion, near-real-time ingestion, event streaming, Pub/Sub models) § Data modelling: Dimensional data models, conceptual-logical-physical models, and implementation of physical models on data warehouses and cloud platforms § Data integration and management: · ETL tools (e.g. Informatica, AWS Glue, Matillion) · API management (e.g. Apigee, MuleSoft, AWS API Gateway, Postman) § Data quality and data governance: · Data quality tools (e.g. Informatica Data Quality, Trillium Software, SAS Data Quality, SAP Data Quality Management) · Data governance tools (e.g. Collibra, Alation, Purview, Informatica) o AI: Possesses practical experience applying Automation, Analytics, AI and GenAI to solve business problems. Desired skills include: § Demonstrates previous experience designing and executing projects that leverage data analytics, data science, AI, and automation methods to resolve complex business challenges. Keeps abreast of evolving technologies and methodologies in the fields of data science and AI. § Build: · Machine Learning: Skilled in applying both supervised and unsupervised learning algorithms, along with capabilities in model evaluation, validation, feature engineering, and hyperparameter tuning to optimize performance. (e.g. Scikit-learn, XGBoost, Statsmodels) · Deep Learning: Knowledgeable in creating, training, and deploying neural network models, including convolutional neural networks and recurrent neural networks, within deep learning frameworks. (e.g. Tensorflow, PyTorch) · Programming: Proficient in Python or R, with expertise in using relevant libraries for data manipulation, machine learning, and deep learning. Exposure to additional programming languages like Java is an advantage. § Govern: Foundational knowledge of responsible AI adoption through principles and guidelines · Risk Evaluation: Demonstrate the capacity to thoughtfully analyse associated risks that AI systems may present · Continuous Learning and Engagement: Actively engage with emerging frameworks, standards and technical advances · Exceptional verbal and written communication skills are essential for articulating complex ideas and insights effectively to both clients and team members. · Maintain the highest standards of professional conduct, demonstrating integrity in all interactions and adhering to ethical practices and transparency. · Embrace a growth mindset and demonstrate a commitment to continuous learning, staying current with industry best practices and adapting readily to evolving client needs. 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, Active Listening, Communication, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Optimism, Teamwork, Well Being Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We'll help you grow your skills through challenging, meaningful work so you can go further.