Singapore is one of the hottest centres for analytics and data science-based companies to set ground. Most of the leading Indian-based analytics companies such as Fractal analytics, Mu Sigma, Gramener among others have offices in Singapore. While analytics has been crucial in deciding the country’s economy for long, it is after the launch of Smart Nation vision, that the role of data science and analytics has significantly increased.
In this article, we list down 10 big organisations that currently boast a lot of openings in data science jobs and related avenues. While these are just the 10 names, there are several other organisations that are currently hiring for data scientists and/or related roles such as Apple, Visa, Datawatch, Cisco, HPE, Experian, Randstad and more.
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The list is in no particular order.
The data science team of Grab works on some of the fascinating problems transport, logistics, economics, and related areas. They are looking to constantly upgrade their offerings by using deep learning, data mining and other advanced techniques, hence calling for data science and related job roles in the company. They usually for Post Grad of PhDs in computer science, mathematics, statistics or related areas with experience in ML frameworks, Python, R, Scala, building ML models and more. Some of the current job openings in the company are that of Data Scientist– Machine Learning, Data Scientist– GFSA (Lending), Data Scientist- Optimisation and more.
OCBC Bank or Oversea-Chinese Banking Corporation, Limited, is a multinational banking and financial services corporation headquartered in OCBC Centre, Singapore. It is one of the leading banks in Southeast Asia and has many technical openings pertaining to data science and analytics. The job roles vary from maintaining an efficient data ecosystem to understanding and solving business problems from the curated data set. These roles are into various domains such as fintech, audit, customer analytics and more while requiring skills such as deep experience in managing big data architecture, SAS, SQL, Python, Hadoop and more. Some of the current openings are Data Scientist- Fintech, Audit Data Scientist, Data Scientist– Customer Analytics.
DBS Bank is a multinational banking and financial services corporation headquartered in Singapore. It has a full spectrum of products and services for which they extensively use data and analytics. The bank has plenty of job openings mid-level to senior roles in data science and analytics field, which typically required an understanding of analytic platforms such as SAS, SQL, Python etc. along with an understanding of advanced machine learning models, recommendation engine and more. The current job openings are VP, AVP- Data Scientist, Data Scientist Lead, and more.
The global search giant has numerous opportunities in store in its Singapore office for data scientists. Usually requiring a master’s degree in areas such as mathematics, statistics, engineering or applied science, there are opportunities in areas such as marketing analytics, statistical modelling, machine learning and more. They ask for skills such as R, Python, SQL, big data experience among others. Some of the current job openings are Data Scientist– Global Premium Services, Data Analyst, Data Science Lead– Large Customers Sales and more. The minimum experience for data science roles they require is 4-5 five years with a strong understanding of core areas.
The data and analytics team at EY are responsible for information management, advanced analytics and business intelligence. They implement information-driven strategies for a lot of services. They are currently looking for openings such as Senior Associate-Data Scientist, Big Data Engineer, Data Scientist-Advisory and more at Singapore location. The skills they typically look for are familiarity with tools such as SQL, data stream mining, SAP data extraction, knowledge of big data analytics tools such as Spark, Java, HiveQL, ability to capture client business requirement and more.
A worldwide leader in IT and networking, data science and analytics is crucial to Cisco’s team in a lot of ways. They are extensively in a lookout for data scientists who can be the problem solver and help business teams make a better decision using data and analytics. They typically look for candidates with a background in applied math, technology and business. They are responsible for building and operationalising models using the latest AI/ML techniques to build relevant solutions. Some of the current openings are Data Scientist, Business Analytics-Data Scientist, Data Analyst and more.
Data science job roles at Dell involves working with the data science team to bring data-driven decisions, work with data engineers to deliver actionable business insights, handle large volumes of data inputs, among others. The current openings in Dell Singapore are that of Data Scientist Senior Manager, Data Scientist, and more. It requires a background in statistics, computer science of data science, with an understanding of data mining and machine learning tools. It also requires an understanding of Python, R, SQL, visualisation tools, and more.
IBM recruits data scientists to help in solving real-world data science problems in a wide array of industries around the globe with both IBM clients and internally. They look for candidates with experience in Python, R, Scala, Java, probability, statistics, machine learning pipelines, building algorithms and more. They are currently hiring for positions such as Data Scientist (Machine Learning), Senior Data Scientist Lead, and more.
The social media giant used analytics and data science in more ways than we know and are hence constantly in a lookout to expand their data science team. In Singapore, they currently have openings for Data Scientist, Data Scientist- APAC, among others. The role typically includes understanding user behaviour and accelerating user growth for Twitter. It includes long term analysis along with short term tactical work. The skills that they are looking for vary from Java, Python, R, Scala, Hadoop, SQL and more to applying machine learning techniques for a variety of modelling. Educational qualification usually demands a degree in mathematics, statistics, engineering.