Risk Services - Risk AI Services Off-Cycle Internship (Jan - Jun 27) at pwc

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

01 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, Power BI, Tableau, AWS, Azure, GCP, Data Visualization, AI, Generative AI, Data Modeling, ETL, Analytical Skills, Problem Solving, Client Relationship Management

Industry

Professional Services

Description

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 364,000 people in 136 countries and 137 territories. 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. Key responsibilities 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. Problem Solving and Analytical Skills: Utilize analytical skills to tackle complex business challenges, interpret data, and offer strategic recommendations that drive informed decisions. Client Relationship Management: Build and maintain strong, trusted relationships with clients, acting as a trusted advisor by demonstrating a deep understanding of client needs. Team Collaboration: Collaborate effectively within diverse teams and with external stakeholders. Communication Skills: Demonstrate clear and persuasive communication, articulating ideas and insights effectively to ensure understanding by clients and team members. Professionalism and Integrity: Uphold high standards of professional conduct and demonstrate integrity in all interactions. Continuous Learning and Adaptability: Embrace a growth mindset and demonstrate a commitment to continuous learning. What we are looking for 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: Foundational Cloud Platforms Proficiency: Demonstrates knowledge and practical experience with foundational platforms like AWS, Azure, and GCP. Programming Skills: Possesses a solid understanding of programming, with practical experience in SQL, Python, and R. Data Visualisation Skills: Possesses foundational knowledge in data storytelling and visualization using tools like Power BI and Tableau. Requirement Translation and Technical Logic Design: Translate client needs into actionable technical solutions, bridging business challenges with structured technical implementation. Data: Demonstrates a foundational understanding of data structures, database systems, and data processing techniques. Desired skills include: Database, Datawarehouse and Data lake management and tools such as: SSMS, PostgreSQL, Snowflake, Databricks, Elasticsearch, Neo4J and MongoDB. Data architecture design and assessment (e.g. patterns to handle batch ingestion, near-real-time ingestion, event streaming, Pub/Sub models) Data modelling techniques for dimensional data models and conceptual-logical-physical models Data integration and management, through usage of ETL and API management tools such as: Informatica, AWS Glue, Apigee, MuleSoft, AWS API Gateway and Postman. Data quality and data governance concepts, and tools such as: Informatica Data Quality, SAP Data Quality Management, Collibra, Alation, Purview and Informatica. AI: Possesses knowledge and practical experience applying Automation, Analytics, AI and GenAI to solve business problems. Desired skills include: Experience and enthusiasm designing and executing projects that leverage Automation, Analytics, AI and GenAI to resolve business challenges Conceptual understanding of AI concepts (e.g., tree-based models, transformers etc), ability to explain such concepts to business stakeholders and translate them into business impacts Awareness of evolving technologies and methodologies in AI and familiarity with modern data science development tools Ability to identify a variety of risks (ethical, model etc) posed by the usage of AI systems Application Notes Please indicate your first-choice role and, where applicable, a second-choice role, based on your skills, interests, and career aspirations. Only shortlisted candidates will be notified due to the high volume of applications. Kindly upload both your resume and academic transcript/degree audit in PDF format Have questions? Get in touch with us at sg_graduate_recruitment@pwc.com There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email addresses. 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.

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Responsibilities

Collaborate with experts to solve complex business challenges through AI and data-related services. Translate client needs into technical solutions and provide strategic recommendations to drive informed decisions.