Associate - Technology Consulting, Data and Artificial Intelligence

Ernst & Young; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A global consulting firm in Singapore seeks an Associate in Technology Consulting, focusing on Data and Artificial Intelligence. The role involves contributing to data analytics solutions, collaborating with teams, and effectively communicating project progress. Candidates should possess a degree in quantitative fields, familiarity with analytical tools, and a willingness to tackle complex challenges creatively. This opportunity is ideal for 2026 graduates ready to enter a dynamic and supportive work environment.

Qualifications

• Degree in quantitative fields such as Computing, Engineering, Analytics, etc.
• Good understanding of time series and machine learning techniques.
• Familiarity with data transformation methods.

Responsibilities

• Contribute technically to deliver Analytics-related solutions.
• Communicate effectively with the project manager regarding progress.
• Prepare technological solutions and reports for clients.

Skills

Proficiency with analytical programming languages such as Python and/or R

Good understanding of time series, statistical, and decision modeling

Familiarity with at least one business intelligence tool such as PowerBI

Comfortable with ambiguity and applying creativity

Education

Degree in quantitative fields (Computing, Engineering, Analytics, etc.)

Tools

SQL

Cloud technologies

Job description

Associate - Technology Consulting, Data and Artificial Intelligence (2026 Graduates)

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Are you ready to shape the future with confidence?

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The Opportunity:

The Data and Artificial Intelligence team works collaboratively with our clients to manage engagements and lead teams of data analysis resources in all aspects of design and delivery of information solutions. Currently they are looking out for students who are interested to become a data engineer.

Data and Artificial Intelligence is integrated into all Consulting service offerings and assists clients to leverage data as an asset throughout its business processes. You'll enjoy working in multi-disciplinary teams and gaining valuable experience in various sectors and play a key role in ensuring high quality outputs and service to our clients.

Your Key Responsibilities

• Contribute technically and deliver Analytics-related solutions to clients
• Communicate effectively with the project manager & team members regarding the progress of the project
• Prepare technological solutions, reports and schedules that will be delivered to clients and other parties
• Develop and maintain productive working relationships with client personnel
• Build strong internal relationships within Ernst & Young Consulting Services and with other services across the organization

Skills and Attributes for Success:

• Degree in quantitative fields such as Computing, Engineering, Analytics, Statistics, Applied Mathematics, Machine Learning, Operation Research, Information Management
• Good understanding of time series, statistical, and decision modeling; and machine learning techniques
• Good understanding of various data structures, common methods and tools used for data transformation
• Proficiency with analytical programming languages such as Python and/or R, as well as familiarity with SQL
• Familiarity with at least one marketable business intelligence tool, such as PowerBI
• Familiarity with cloud technologies, DevOps tools, ETL tools, machine learning frameworks, visualization software, * Unix shell scripting are considered a plus.
• Comfortable with ambiguity and applying creativity to solve complex problems
• Some data competition experiences are preferred

Note:

• You are required to upload your latest resume and academic transcripts together with your online application.
• We regret to inform that only shortlisted candidates will be contacted.

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