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What The Role Is
You conceptualise, develop, and implement data science projects to leverage human resource (HR) data, enhancing personnel management in the SAF and Army.
What You Will Be Working On
Only shortlisted candidates will be notified.
You conceptualise, develop, and implement data science projects to leverage human resource (HR) data, enhancing personnel management in the SAF and Army.
What You Will Be Working On
- Process, analyse and visualise HR data to distil and communicate actionable insights to management
- Develop predictive models for targeted efforts in recruitment, employee engagement, and training
- Engage in the entire data science process from conceptualisation to deployment
- Create digital solutions to enhance HR processes
- Collaborate with HR professionals to understand business problems and address challenges with data-driven solutions
- Bridging the gap between technical data science and practical HR challenges
- Translating complex data insights into actionable recommendations for non-technical stakeholders
- Developing effective predictive models for diverse HR functions
- Knowledge of Data Science, Statistics, Computer Science or a related field
- Experience in data analysis and machine learning techniques is preferred
- Strong communication skills to work effectively with both technical and non-technical stakeholders
- Ability to understand and translate business problems into data science solutions
Only shortlisted candidates will be notified.
Key Skills
Ranked by relevance
machine learning
data analysis
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- Posted
- Dec 16, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Singapore
- Company
- Ministry of Defence of Singapore
Industries
Government Administration
Categories
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist / AI engineer
2026-05-18
Full-time
Associate
Portugal
Government Administration
Information Technology
View Job Details
Related
Senior Data Scientist (m/f/d)
2026-05-21
Full-time
Mid-Senior
Germany
Staffing
Information Technology