Graduate Analyst Program - Artificial Intelligence & Data - Oct 2024 Intake

• Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes
• Design and implement data structures to support Big Data, Analytical models and traditional BI/DW reporting solutions using technologies such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watsons, MuleSoft, Qlik Technologies or Informatica
• Design and develop data integration using Data Governance, Data Quality, MDM, and Metadata management
• Apply analytical models to predict business outcomes with tools such as DataRobot and languages like Python or R
• You will be part of a collaborative team that provides our clients with solutions that are practical as well as visionary and have an impact from the back office to the boardroom
• Support the project teams in recommending BI/DW/Analytics processes, governance, organizational and platform models, tool selections, and data integration options to clients

• Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte’s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
Develop their understanding of Deloitte and offer a fresh perspective.

• Available to commence work in October 2024
• Strong academic performance in Computer Science, Computer Engineering, Statistics, Mathematics, Engineering, or related disciplines
• Proficient in at least one programming language (Python, C, Java, etc.)
• Good understanding in Artificial Intelligence and Machine Learning
• Understanding of SDLC Waterfall and Agile Development Methodologies
• Some knowledge of Intelligence Automation software e.g., Automation Anywhere, BluePrism, UiPath or WorkFusion or cloud platforms e.g., Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure
• An interest in data ingestion and transformation pipelines using Big Data technologies, including one or more of the following: Spark, Hive, Pig, Kafka, MapReduce, Hbase, Sqoop, Flume or Storm
• General knowledge of Linux/Unix based operating systems and Shell scripting would be an advantage
• Demonstrates interest for all the latest technologies, libraries & languages
• Strong analytical skills, self-motivated, and able to work in stressful situations with changing priorities
• Drive, tenacity, entrepreneurship, client focused, and results oriented. You enjoy working methodically and with a great attention to detail
• Proven demonstration of sound business acumen & teamwork, confidence in public speaking and presentation preparation is appreciated