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PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

Risk Services – Risk AI Services Off-Cycle Intern

Risk, Regulatory & Legal AdvisoryConfirmed live in the last 24 hours
InternshipSingaporeNo salary listedIn-person

About the Job

Requirements

  • Fresh graduates with a bachelor's or master's degree in an analytically and quantitatively rigorous discipline, such as Accounting, Actuarial Science, Business Analytics, Computer Science, Economics, Engineering, Finance, Information Systems, Mathematics, Statistics, or Software Engineering.
  • Demonstrate foundational knowledge of technology concepts and applications and how they can solve real-world problems.
  • Use analytical skills to tackle complex business challenges, interpret data, and offer strategic recommendations.
  • Build and maintain strong, trusted client relationships by understanding client needs.
  • Collaborate effectively within diverse teams and with external stakeholders.
  • Demonstrate clear and persuasive communication, articulating ideas and insights effectively to clients and team members.
  • Uphold professional conduct and demonstrate integrity in all interactions.
  • Demonstrate a commitment to continuous learning and adaptability.
  • Demonstrate passion for technology and practical experience with foundational cloud platforms such as AWS, Azure, and GCP.
  • Have a solid understanding of programming with practical experience in SQL, Python, and R.
  • Have foundational knowledge of data storytelling and visualization using Power BI and Tableau.
  • Translate client needs into actionable technical solutions, connecting business challenges with structured technical implementation.
  • Demonstrate foundational understanding of data structures, database systems, and data processing techniques.
  • Understand data quality and data governance concepts.
  • Understand AI concepts such as tree-based models and transformers, explain them to business stakeholders, and translate them into business impacts.
  • Identify risks, including ethical and model risks, posed by AI systems.

Responsibilities

  • Collaborate with experienced problem-solvers and subject matter experts to address business challenges from strategy through execution.
  • Contribute to delivery of client solutions spanning AI- and data-related services.

Desired Qualifications

  • Database, data warehouse, and data lake management and tools such as SSMS, PostgreSQL, Snowflake, Databricks, Elasticsearch, Neo4j, and MongoDB.
  • Data architecture design and assessment, including patterns for batch ingestion, near-real-time ingestion, event streaming, and Pub/Sub models.
  • Data modelling techniques for dimensional data models and conceptual, logical, and physical models.
  • Data integration and management using ETL and API management tools such as Informatica, AWS Glue, Apigee, MuleSoft, AWS API Gateway, and Postman.
  • Data quality and data governance tools such as Informatica Data Quality, SAP Data Quality Management, Collibra, Alation, Purview, and Informatica.
  • Experience and enthusiasm designing and executing projects that leverage automation, analytics, AI, and generative AI to resolve business challenges.
  • Awareness of evolving AI technologies and methodologies and familiarity with modern data science development tools.

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size
10,001+
Company stage
Early VC
Total funding
$3.3M
Headquarters
London, United Kingdom
Founded
1989

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