About the Project
If the lifeblood of the digital economy is data, its heart is digital trust—the level of confidence in people, processes, and technology to build a secure digital world. Companies, regulators, and consumers need fresh mechanisms to build confidence as they address emerging challenges in business, risk management, and compliance.
Responsibilities:
As an Associate, you’ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution.
You’ll be a part of an environment that broadens your functional training, personal and technical skills, and deepens your knowledge of client services. You will play an integral role supporting staff as needed for an outstanding variety of work and making contributions to the team on a daily basis.
- Perform work across diverse industries and projects ranging from developing organisational strategies for analytics to building sophisticated data architectures and analytical models
- Analyse and interpret large volumes of data from client data systems and external sources using proprietary and open source data tools, platforms and analytical tool kits
- Translate complex findings into simple language and communicate them to internal and external stakeholders, such as your team members and clients executives
- Deliver excellent client service and work from both the PwC Singapore office and at client sites
Requirements:
Below are the attributes and skills we look for in candidates, but don’t be discouraged if you don’t possess all or even most of them. We would still love to talk to you about joining our team.
- Final year Actuarial Science, Business Analytics, Computer Science, Computer Engineering, Economics, Engineering, Information Systems, Sciences, Mathematics, Statistics, Physic or other related disciplines that possesses an analytical and quantitative component student from local and overseas universities
- Strong preference for basic competency in two or more of the following:-
an analytical software (e.g. R, SAS)
a data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
a relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
programming. (e.g. VBA, C++, Java, Python)
distributed architectures (e.g. HDFS, Mapreduce, Sqoop, Flume, Kafka, Pig, Hive) - A self-driven learner with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
- An appreciation for structured methodical research, critical thinking and problem-solving skills with an understanding for the application of these skills in the business environment
- A natural curiosity to identify, investigate and explain trends and patterns in data
- An ability to analyse and break down complex concepts and technical findings into clear and simple language for communication to team members and clients
- A passion for Emerging Technologies related to Big Data, Machine Learning and AI
Note:
- Please note we accept only one application per candidate. You may indicate your second preference in the same application. We recommend that you apply to your preferred position that closely aligns with your skills, passions and interests.
- You can indicate another role in the same application form. Duplicate entries will slow down your application with us.
- Kindly upload both your resume and degree audit or transcript in PDF format all under Resume attachment upload
- Kindly note only shortlisted candidates will be contacted.
Got a question? Email to [email protected].
There have been reports of scammers impersonating PwC HR professionals contacting individuals about fraudulent job opportunities using non-PwC domain email addresses and an overseas number. Please note that genuine communications from our HR team will only come from "@pwc.com" email address.
