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42 Data Analysis and Mathematics Jobs in Singapore
Problems accumulate on the desk; models get built, tested, refined under steady deadlines.
Average salary: SGD 107,193
Average salary
SGD 107,193
across 42 jobs
- Senior Data Scientist (Analytics), Financial Services
- Grab
- Singapore, Singapore
- SGD 110,000 – SGD 150,000
- Data Engineer, Analytics
- Meta
- Singapore, Singapore
- SGD 100,000 – SGD 150,000
- Forward Deployed AI Scientist (For 2027 Intake)
- Boston Consulting Group (BCG)
- Singapore, Singapore
- SGD 90,000 – SGD 130,000
- Senior SAP CO Consultant
- qualcomm
- Singapore, Singapore
- SGD 74,000
- Senior Product Development Test Engineer, Data Analytics
- qualcomm
- Singapore, Singapore
- SGD 90,000 – SGD 130,000
- Prompt Engineering Specialist
- TikTok
- Singapore, Singapore
- SGD 72,000 – SGD 108,000
- AI Agent Algorithm Engineer Intern (Global E-Commerce, Affiliate)
- ByteDance
- Singapore, Singapore
- SGD 48,000 – SGD 72,000
- AI Agent Machine Learning Engineer Intern (Global E-Commerce, Supply Chain and Logistics)
- ByteDance
- Singapore, Singapore
- SGD 60,000 – SGD 84,000
- Machine Learning Engineer - Logistics Fulfillment
- TikTok
- Singapore, Singapore
- SGD 90,000 – SGD 140,000
- AIGC Model Labeling Specialist
- TikTok
- Singapore, Singapore
- SGD 35,000 – SGD 50,000
- Staff Forward Deployed Engineer, GenAI, Google Cloud, Data
- Singapore, Singapore
- SGD 180,000 – SGD 260,000
- Research Intern, AI Machine Learning
- Seagate Technology
- Singapore, Singapore
- SGD 48,000 – SGD 72,000
- Research Intern, AI for Science
- Seagate Technology
- Singapore, Singapore
- SGD 48,000 – SGD 72,000
- Intern, Data Analyst, Operations & Automation
- Bosch Group
- Singapore, Singapore
- SGD 14,400 – SGD 21,600
- Intern, Sales Excellence Data Analyst
- Bosch Group
- Singapore, Singapore
- SGD 42,000 – SGD 54,000
- Intern, AI Research
- Bosch Group
- Singapore, Singapore
- SGD 12,000 – SGD 18,000
- FVP/VP, Data Analytics, Group Wholesale Banking
- United Overseas Bank
- Singapore, Singapore
- SGD 120,000 – SGD 180,000
- Model Optimization Specialist, DLO
- TikTok
- Singapore, Singapore
- SGD 60,000 – SGD 90,000
- Senior Data Engineer, Product Analytics, Payments
- Singapore, Singapore
- SGD 120,000 – SGD 180,000
- Senior Engineer, Data, BIA & AI
- ASM
- Singapore, Singapore
- SGD 90,000 – SGD 130,000
- Senior Data Scientist (Analytics), Financial Services
- Grab
- Singapore, Singapore
- SGD 130,000 – SGD 180,000
- Data Infrastructure & Analysis Project Intern (Evaluation and Investigation)
- TikTok
- Singapore, Singapore
- SGD 42,000 – SGD 54,000
- Senior Data Scientist (Consumer Experience)
- Grab
- Singapore, Singapore
- SGD 130,000 – SGD 180,000
- Optimisation Data Analyst
- Adyen
- Singapore, Singapore
- SGD 80,000 – SGD 110,000
- Supplier Quality Engineering Intern, Data Analytics
- Seagate Technology
- Singapore, Singapore
- SGD 12,000 – SGD 18,000
- 数据研发工程师
- Xiaomi
- Singapore, Singapore
- SGD 60,000 – SGD 90,000
- 数据挖掘工程师
- Xiaomi
- Singapore, Singapore
- SGD 60,000 – SGD 80,000
- 数据科学家
- Xiaomi
- Singapore, Singapore
- SGD 70,000 – SGD 90,000
- 算法工程师
- Xiaomi
- Singapore, Singapore
- SGD 60,000 – SGD 90,000
- Research Scientist, Reasoning and Artificial General Intelligence, DeepMind
- Singapore, Singapore
- SGD 180,000 – SGD 250,000
- Machine Learning Engineer, Supply Chain Forecasting
- TikTok
- Singapore, Singapore
- SGD 120,000 – SGD 180,000
- Senior Research Scientist, AI Safety and Security
- Singapore, Singapore
- SGD 200,000 – SGD 300,000
- Staff Research Scientist, AI Alignment
- Singapore, Singapore
- SGD 180,000 – SGD 250,000
- Robotics Data Collection Operator
- Dexmate
- Singapore, Singapore
- SGD 36,000 – SGD 50,400
- Senior Data Scientist, GenAI Applications, Global Business Consulting
- Singapore, Singapore
- SGD 120,000 – SGD 180,000
- Senior Data Scientist
- Dataiku
- Singapore, Singapore
- SGD 100,000 – SGD 150,000
- Forward Deployed AI Scientist
- Boston Consulting Group (BCG)
- Singapore, Singapore
- SGD 96,000 – SGD 144,000
- Data Scientist
- Cygnify
- Singapore, Singapore
- SGD 96,000 – SGD 144,000
- Data Analyst Intern
- 小米科技 Xiaomi Technology
- Singapore, Singapore
- SGD 52,000 – SGD 72,800
- 2027 Summer Internship Program – Trading, Singapore
- Brevan Howard Asset Management
- Singapore, Singapore
- SGD 72,000 – SGD 96,000
- Forward Deployed Engineer, Data, GenAI, Google Cloud
- Singapore, Singapore
- SGD 120,000 – SGD 180,000
- Principal Data Engineer
- Firmus Technologies
- Singapore, Singapore
- SGD 180,000 – SGD 250,000
Data analysis and mathematics roles involve building statistical models, testing hypotheses, cleaning datasets, and translating findings into actionable insights for decision-makers. Employers typically require strong foundational mathematics, proficiency with programming languages like Python or R, and experience with statistical software or SQL. These positions span across finance, tech, healthcare, and research organizations, from startups to established enterprises. Entry-level analysts often support senior mathematicians or data scientists; mid-career professionals lead analytical projects independently; advanced roles involve methodology development and team leadership.
Data Analysis and Mathematics jobs by city
- Shanghai79
- Beijing65
- Singapore42
- Bengaluru41
- Colombia40
- Shenzhen30
- Brussels25
- Hyderābād24
- Warsaw24
- London24
- Paris22
- Lisbon22
- Gurugram20
- Dublin19
- São Paulo19
- Madrid17
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- Database Specialists709
- Front-End Application Design529
Questions
What formal qualifications do employers expect?
A degree in mathematics, statistics, physics, or computer science is standard; some roles accept strong candidates with relevant work experience or bootcamp credentials. Advanced positions increasingly require demonstrated portfolio work or published research alongside formal education.
What does a typical day involve?
Time splits between writing and debugging code, exploring datasets, documenting assumptions, attending stakeholder meetings, and iterating on models based on feedback. The balance varies: some days are heavily computational; others involve more communication and explanation.
How do data analysts differ from data scientists?
Analysts typically focus on describing what happened in existing data and producing reports; data scientists emphasize predictive modeling and building systems that run continuously. The boundary blurs in practice, especially at smaller organizations.
What programming skills matter most?
Python and R dominate analytical work, though SQL for database queries is equally essential. Employers also value familiarity with version control, visualization libraries, and increasingly, cloud platforms.
How much of the role involves communicating findings?
Communication accounts for a substantial portion—presenting results to non-technical stakeholders, writing documentation, and defending methodological choices in meetings. Strong analysis means nothing if it cannot be understood or acted upon.
What distinguishes this from pure mathematics research?
Applied data work prioritizes practical business or scientific questions over theoretical exploration; timelines are shorter, stakeholders are more diverse, and the goal is actionable insight rather than peer-reviewed discovery.
How do mathematicians transition into data roles?
Strong theoretical foundations transfer well, though practitioners need to develop programming skills and learn domain-specific tools. Many start in junior analytical roles or complete bridging certifications.
What kind of problems feel repetitive versus novel?
Data cleaning, formatting, and quality checks recur constantly; modeling and interpretation vary depending on the project. Seniority often means more time on novel problems and less on routine preprocessing.
Do these roles require travel or unusual hours?
Most positions are office-based or remote with standard hours, though deadline-driven projects occasionally demand extended weeks. Client-facing roles may involve occasional site visits or stakeholder presentations outside normal hours.
How does career progression typically work?
Early roles focus on technical execution under supervision; mid-level positions involve leading analyses and mentoring juniors; senior roles emphasize strategy, methodology, and hiring. Progression depends on both technical depth and leadership capability.