Risk Services - Digital Solutions Risk AI Services Off-Cycle Internship (Jul 2026)

Join PwC as an Intern in RAIS to support AI and data-driven risk management and governance, collaborating with experts to deliver impactful client solutions.

Your Role

Here’s what you will be doing:

• Collaborate with experienced problem-solvers and subject matter experts to address complex business challenges from strategy through execution.
• Contribute to delivering AI and data-related services and solutions for clients.
• Demonstrate foundational knowledge of technology concepts and their real-world applications.
• Build and maintain trusted client relationships by understanding client needs.
• Collaborate effectively within diverse teams and with external stakeholders.
• Communicate ideas and insights clearly and persuasively to clients and team members.
• Uphold professionalism and integrity in all interactions.
• Embrace continuous learning and adaptability with a growth mindset.

About You

The company is looking for:

• Demonstrated passion for technology with experience in foundational cloud platforms like AWS, Azure, and GCP.
• Programming skills with practical experience in SQL, Python, and R.
• Foundational knowledge in data storytelling and visualization using tools like Power BI and Tableau.
• Ability to translate client needs into actionable technical solutions.
• Foundational understanding of data structures, database systems, and data processing techniques, including tools such as SSMS, PostgreSQL, Snowflake, Databricks, Elasticsearch, Neo4J, and MongoDB.
• Knowledge of data architecture design, data modelling techniques, and data integration and management using ETL and API tools like Informatica, AWS Glue, Apigee, MuleSoft, AWS API Gateway, and Postman.
• Understanding of data quality and governance concepts and tools such as Informatica Data Quality, SAP Data Quality Management, Collibra, Alation, Purview, and Informatica.
• Conceptual understanding of AI concepts and the ability to explain them to business stakeholders.
• Awareness of evolving AI technologies and methodologies, and familiarity with modern data science development tools.
• Ability to identify various risks posed by AI systems, including ethical and model risks.

How to Apply

• Submit one application per candidate; indicate a second preference within the same application if desired.
• Upload both your resume and degree audit or transcript in PDF format under the Resume attachment upload.
• Only shortlisted candidates will be contacted.

This job may close before the stated closing date, you are encouraged to apply as soon as possible.

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