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Looking for a data scientist job in Singapore? Choose from 25 open roles at 16 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.
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In the week to 4 October, 22 data scientist roles were open in Singapore at 12 employers. 1 new roles were posted during the week. Of the roles that say how they work, 23% are remote or hybrid.
Data scientists make up a meaningful share of the roles listed on the board this week. Among those with a stated seniority level, the large majority are senior positions, with lead roles and a small, roughly equal share of junior and director-level openings accounting for the rest. The postings span several weeks, with about a third having appeared within the past two months and a smaller proportion added in the last week or so. Hiring is concentrated: most roles on the board come from a relatively small number of employers. Large language models, agents and retrieval-augmented generation all appear in a substantial share of descriptions, reflecting an industry-wide shift toward applied AI work alongside traditional statistical and engineering tasks.
Figures are measured every Monday.
Data scientists draw on statistical modelling, machine learning and data engineering to help organisations make decisions from complex data. Day-to-day work typically includes building and validating predictive models, designing experiments, and working with engineering teams to move models into production. In Singapore, the role appears across financial services — where the Monetary Authority of Singapore's Project MindForge involves banks such as DBS, OCBC and UOB — as well as in technology firms clustered at one-north, and in consumer internet companies such as Sea Limited, headquartered at Fusionopolis Place. Research institutions including A*STAR's Centre for Frontier AI Research and programmes such as AI Singapore also draw on data science expertise, shaping what employers in the city expect from practitioners.
Python is mentioned in almost every description on the board, making it effectively the baseline. Statistical knowledge and SQL appear in most roles, pointing to a continued emphasis on rigorous analysis and working directly with data stores. Large language model skills, Spark for distributed data, and A/B testing each appear in a substantial share of descriptions. PyTorch, TensorFlow and retrieval-augmented generation feature in roughly a quarter, suggesting deep learning and generative AI work is common but not universal.
The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.
Among the roles on the board that state a work mode, a large majority are fully on-site. Hybrid arrangements account for a much smaller share, and fully remote roles represent only a small minority. Candidates should expect most employers in this city to want regular in-person attendance.
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