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DRSC A&A - IT, Data & Analytics (Associate)

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Job Description

Job Description:

  • Architect, build, and deliver AI-powered automation for Audit and Assurance, using modern data and prompt engineering, Python, and AWS technologies (Bedrock, OpenSearch, and more).
  • Design and implement tailored AI workflows and automation tools to optimize audit quality and processes.
  • Lead workshops and training to build team capability and embed AI best practices.
  • Maintain thorough technical documentation and operational runbooks to support sustainable deployment and knowledge sharing.

Job Requirements:

  • Bachelor's degree in Computer Science or a related technical discipline.
  • Has 1-3 years hands-on experience in data engineering, cloud architecture, or AI/ML solution delivery. Fresh graduates may also apply.
  • Strong proficiency in AWS (e.g., Glue, Lambda, Redshift, Bedrock, Athena, DynamoDB, CloudFormation, OpenSearch, Step Functions).
  • Advanced programming abilities in Python (plus R, SQL), with experience in CI/CD pipelines.
  • Skill in prompt engineering, modern ML frameworks, API design, and data pipeline orchestration.
  • Successful track record delivering data/AI solutions from strategy through production.
  • Experience in data analytics and visualization (e.g., Power BI, Tableau).
  • Applied machine learning for forecasting and predictive modeling.
  • Excellent communication, collaboration, and client engagement skills.
  • Be a collaborative, proactive contributor to our Data & Analytics team.
  • Demonstrate initiative, innovative thinking, a growth mindset, and commitment to ongoing personal development.
  • Uphold Deloitte's values and commitment to impact, teamwork, and integrity.
  • Take responsibility for your performance, understand firm priorities, and seek ways to add value.

Due to volume of applications, we regret only shortlisted candidates will be notified. Candidates will only be contacted by authorized Deloitte Recruiters via firm's business contact number or business email address.

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Job ID: 146767389

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