685 Data Science jobs in Singapore

MHA - Internal Security Department (ISD)

Permanent

What you will be working on

• Develop proposals and budgets, plans cost estimates, budgets justifications and statements of works for Data Science and AI research programs
• Develop and maintain a system for tracking deadlines for research deliverables and help to keep researchers accountable
• Negotiate with external organisations to establish and maintain relationships
• Develop project/program infrastructure standard operating procedures, workflow and re-engineering processes
• Provide leadership to project / program including initiating, conducting, reporting, providing technical support and project management
• Plan, design, implement, oversee and advise on data science and AI research projects
• Maintain appropriate documents and reports
• Collaborate and consult with researchers by reviewing, evaluating and making recommendations for project / program initiatives
• Contribute to strategic planning of the project/program
• Advise investigators and administrators on appropriate methodologies and resources critical to the projects/programs
• Supervise project/program staff including identifying, hiring, training, supervising and evaluating staff

What we are looking for

• Curious, self-motivated, resourceful, meticulous and enjoys challenges
• Excellent communication skills, report writing and knowledge management
• Excellent understanding of mathematical, statistical and analytical concepts, computer science and artificial intelligence
• Ability to keep the overarching objectives of the project/program in mind while pursuing the technical details
• Passionate about research management and problem solving
• (Preferred) Some hands-on experience in data science, AI and quantitative research
• Only Singaporeans need
  We wish to inform that only shortlisted candidates will be notified.

About MHA - Internal Security Department (ISD)

The Internal Security Department (ISD) confronts and addresses threats to Singapore's internal security and stability. For over 75 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists.
At the heart of our work are the collection of intelligence that enables us to size up the threats to Singapore's internal security, and taking the executive actions necessary to overcome those threats. Every day, we collect and analyse intelligence, make impartial assessments, and take decisive action to counter the threats to Singapore's internal security and stability, and sovereignty.

About your application process

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MHA - Internal Security Department (ISD) or the wider Public Service.

Location

Singapore, Singapore

Job type

Part-Time

Work mode

Hybrid

Job level

Internship & working student

Job ID

10724

Company

Munich Re

Employment type

Temporary

Area of expertise

Data, BI & Analytics

This is an exciting opportunity to be part of Munich Re's Regional AI/Analytics Team (RAC) in Singapore for a 6-month full-time internship starting in October 2025. This role is designed for aspiring talents interested in the intersection of data science and next-generation AI technologies. You will be part of a dynamic, cross-functional team supporting Munich Re's Life and Health business across Asia-Pacific, the Middle East, and Africa. The internship offers hands-on exposure to cutting-edge AI tools—including large language models (LLMs)—and their real-world applications in insurance.

Your Role

• Collaborate with the regional analytics team to design, test, and evaluate Gen-AI solutions that support business functions such as underwriting, claims, and operations.

• Explore and implement prompt engineering strategies for LLMs to address insurance-specific use cases.

• Support the enhancement of OCR and Document AI capabilities, including layout parsing, visual document analysis, and structured data extraction.

• Contribute to building datasets, experimenting with RAG pipelines, agentic AI frameworks, and refining prompts to improve model performance.

• Write clean, modular Python code to develop data pipelines, model prototypes, or Gen-AI system integrations.

• Assist in evaluating model performance and iteratively improve system robustness and reliability.

• Work alongside actuaries, data scientists, and domain experts across the APAC, Middle East, and Africa regions.

• Support documentation, technical presentations, and high-quality demos for internal and external stakeholders.

Your Profile

• Pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Artificial Intelligence, or a related technical field.

• Familiar with generative AI tools (e.g., ChatGPT, Gemini, or open-source LLMs) and the basics of prompt engineering.

• Strong interest or foundational knowledge in OCR, LLMs, and agentic AI frameworks.

• Proficient in Python; familiarity with SQL and/or JavaScript is a plus.

• Experience using or building demos with Streamlit, Gradio, or modern web frameworks like React or Vue.

• Curious, self-motivated, and eager to learn in a rapidly evolving AI landscape.

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the centre of this interaction is each of us

Reporting to the Head, AI Office, you will provide administrative support in the planning and budgeting for projects to the CGH Artificial Intelligence and Digital (AID) Committee, CGH Chief Data and Digital Officer (CDDO) for Artificial Intelligence and Digital projects.

Responsibilities:

• Provide administrative support in the planning and project management for AID Deployment with PI/PL, CGH stakeholders and Synapxe
• Support in secretariat role to manage AID Comm schedules, draft minutes of meetings and follow up on actionables
• Support regular progress updates for AID and RIE Comm on Deployment Projects such as issues escalation, risk reporting and co-ordinate effective resolution
• Manage AI Office portal and ensure periodic updates to AI and Digitalisation projects repository
• Organise and contribute to CGH Enterprise AI Awareness roadshows, and AI webinars

Requirements:

• Diploma holder in any discipline with interest in AI and Automation technologies
• Preferably with 1 to 3 years in IT Project Management, Informatics in the healthcare or services industry
• Those with working knowledge of Generative AI tools, AI/ML Lifecycle projects, and/or, advanced analytics deployment for Machine Learning / AI / Deep Learning, would be advantageous
• Good communications and people skills
• Good writing skills for policy and grant documentations
• Good presentation skills with awareness of Generative AI applications
• Good problem-solving skills
• A team player and able to work with multidisciplinary project teams

Only shortlisted candidates will be notified.

Reporting to the Head, AI Office, you will provide administrative support in the planning and budgeting for projects to the CGH Artificial Intelligence and Digital (AID) Committee, CGH Chief Data and Digital Officer (CDDO) for Artificial Intelligence and Digital projects.

Responsibilities:

• Provide administrative support in the planning and project management for AID Deployment with PI/PL, CGH stakeholders and Synapxe
• Support in secretariat role to manage AID Comm schedules, draft minutes of meetings and follow up on actionables
• Support regular progress updates for AID and RIE Comm on Deployment Projects such as issues escalation, risk reporting and co-ordinate effective resolution
• Manage AI Office portal and ensure periodic updates to AI and Digitalisation projects repository
• Organise and contribute to CGH Enterprise AI Awareness roadshows, and AI webinars

Requirements:

• Diploma holder in any discipline with interest in AI and Automation technologies
• Preferably with 1 to 3 years in IT Project Management, Informatics in the healthcare or services industry
• Those with working knowledge of Generative AI tools, AI/ML Lifecycle projects, and/or, advanced analytics deployment for Machine Learning / AI / Deep Learning, would be advantageous
• Good communications and people skills
• Good writing skills for policy and grant documentations
• Good presentation skills with awareness of Generative AI applications
• Good problem-solving skills
• A team player and able to work with multidisciplinary project teams

Type:
Internship (with fast-track to full-time if you crush it)
At FlocCare, we’re building a GenAI platform that makes health information accessible and personal —for a billion lives. To power that, we need structured, contextual, vectorized data. This role isfor someone who loves data, thinks in embeddings, and knows how to ship fast with modern tools.
What You’ll Do
Source, structure, and format messy data
from web, APIs, PDFs, or raw text.
Vectorize text
using transformer models (e.g. BERT, Sentence Transformers).
Work with
embedding stores
and retrieval tools like Pinecone or FAISS.
Test, evaluate, and fine-tune
existing models (LLMs, classifiers, RAG pipelines).
Set up quick workflows using
no-code/low-code AI builders
like
Flowise, Appify,LangChaintemplates,
etc.
Write clean, reusable scripts for data cleaning, chunking, tagging, and ingestion.
Create solid
documentation
of workflows, datasets, and model outputs.
Are a
CS, Data Science, or AI/ML
student or recent grad with real projects under yourbelt.
Have experience with
Python, Pandas, NumPy, Hugging Face, and scikit-learn .
Understand
NLP basics , embeddings, and data pipelines.
Are
comfortable figuring things out on your own
and pushing to production fast.
Are
curious about new tools
(Appify, Flowise, LangChain, RAG frameworks) and learn fast.
Have ranked or won in
hackathons, ML challenges, Kaggle, or buildathons .
Have worked with
retrieval-augmented generation (RAG)
or LLMOps stacks.
Know how to deploy a quick demo or MVP without overengineering.
Can build scrappy first versions fast — and iterate from user feedback.
Work on
high-impact GenAI systems
in real healthcare environments.
Collaborate across borders: SG, UAE, US, and India.
Build portfolio-worthy projects that go
beyond notebooks .
Internship → full-time fast-track
based on execution and ownership.
Send us your resume, GitHub/portfolio, and a short note on what you’ve built or shipped recently
#J-18808-Ljbffr

About Agoda

Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.

Our Purpose – Bridging the World Through Travel

We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.

Internship period: September – December 2025

Roles & Responsibilities

Get to Know our Team:

The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.

In this Role, you'll get to:

• Actively participate in implementing and evaluating ML models for  Natural Language Processing and Computer Vision
• Collaborate with experienced machine learning engineers and data scientists.
• Research new technologies and share across organizations

What you'll Need to Succeed:

• Demonstrable understanding of Deep Learning concepts, frameworks, and libraries.
• Strong problem-solving skills, attention to detail, and a long-standing passion for diving into complex datasets.
• Experience in implementing machine learning algorithms, and familiarity with statistical data analysis and predictive modeling
• Passionate about data and ML and demonstrable interest in following Research/Papers from the academic community

Duration of internship:

• 4 months

Equal Opportunity Employer

At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.

We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.

Disclaimer

We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

We are seeking a Data Science Manager to lead advanced analytics and AI initiatives that drive data-driven decision-making. This role is key in developing predictive AI models, delivering actionable insights, and ensuring data governance and quality.

Key Responsibilities

• Develop and operationalise AI/ML models for forecasting and analytics.
• Partner with IT and leadership teams to design data and AI solutions.
• Analyse large datasets to identify trends and provide strategic insights.
• Oversee data governance, ensuring integrity and compliance.
• Lead and mentor a team of data analysts, including external vendors.
• Stay ahead of industry trends and embed best practices.

Requirements

• Bachelor's in Data Science, Statistics, Computer Science, or related field (Master's preferred).
• 8+ years' experience in data science/analytics with leadership exposure.
• Strong proficiency in SQL, R, Python, Power BI, and ML frameworks.
• Experience in MLOps, ETL, and API concepts.
• Excellent communication and data storytelling skills.

The team is responsible for driving the firm's data, cloud, and AI strategy with a strong focus on governance, risk management, and compliance. In partnership with business and corporate functions, the team ensures that data assets are managed in line with enterprise policies, regulatory requirements, and best practices- supporting secure, ethical, and effective use of emerging technologies.

Role Description

Governance and Risk Focus:

• Bring a strong risk and control mindset, with the ability to identify, interpret, and apply governance frameworks and policies related to data, cloud, and AI.
• Play a key role in assessing and managing emerging technology risks, including the responsible use of Generative AI and ethical considerations for AI development.
• Ensure governance practices are embedded throughout the data and AI lifecycle, closing gaps in compliance and operational risk exposure.

Control Framework Automation:

• Support the automation and modernization of control frameworks using advanced analytics and AI/ML to enhance control effectiveness and efficiency.
• Embed governance and compliance checkpoints within automated pipelines to ensure robust monitoring, alerting, and auditability.

Model Governance:

• Lead the development, testing, and deployment of AI/ML models aligned with model governance standards, ensuring performance, transparency, and regulatory compliance.
• Define and implement best practices for model validation, lifecycle management, and controlled upgrades.

Collaboration & Solution Delivery:

• Work cross-functionally with data engineers, software developers, and risk professionals to integrate governance and risk requirements into data and AI initiatives.
• Deliver end-to-end AI/ML solutions that are secure, scalable, and compliant with SDLC and governance standards.

Stakeholder Engagement:

• Communicate risk and governance requirements to both technical and business stakeholders, translating complex topics into actionable insights.
• Help foster a culture of data stewardship and accountability, ensuring responsible ownership of data and AI assets across teams.

Continuous Improvement & Innovation:

• Stay current with industry trends, evolving regulations, and governance frameworks related to data and AI risk.
• Contribute to the ongoing improvement of the firm's risk and control posture through innovation and strategic input.

Skills, Experience, and Qualifications Required

• Master's degree in Data Science, Computer Science, Information Systems, Economics, Operations Research, or a related field.
• 10+ years of experience in data and analytics, with a strong emphasis on governance, risk, and compliance.
• Proven track record in building and optimizing AI/ML models, with deep understanding of model governance and regulatory alignment.
• Experience with cloud platforms (AWS, GCP, or Azure), especially with their governance and security features.
• Proficiency in handling complex data types (structured, semi-structured, unstructured) within regulated environments.
• Demonstrated ability to assess and apply responsible AI frameworks, manage AI risks, and implement effective controls.
• Strong communication skills, with the ability to engage stakeholders on risk mitigation, governance obligations, and strategic data use.
• Solid knowledge of SDLC standards, including integration of data governance and application-level controls.

For a confidential discussion, please reach out to me at

Personal data collected will be used for recruitment purposes only.

Only shortlisted candidates will be notified / contacted.

EA Registration No: R

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: E with EA license number 16S8086.

Website:

information_technology

Summary

Data Science Program delivers hands-on, industry-relevant skills, covering:

• Python for analytics
• Data wrangling with NumPy & Pandas
• Exploratory data analysis
• Core machine learning: regression, classification
• AI integration in data pipelines

Duties

• Lead live, interactive online classes in data science
• Cover essential topics including Python, data manipulation, EDA, and supervised ML
• Walk students through real datasets and project work
• Explain technical concepts clearly to beginners
• Encourage a positive and collaborative online class environment
• Incorporate student feedback to refine your delivery

Qualifications

• Strong foundation in data science or related discipline
• Practical experience with Python, NumPy, Pandas, Matplotlib/Seaborn
• Familiarity with machine learning libraries (e.g. scikit-learn)
• Comfortable using Jupyter Notebooks and basic AI tools
• Excellent verbal communication and ability to teach non-technical learners
• Prior teaching, mentorship, or corporate training experience is an asset
• Must be with ACTA/ACLP certification

Job Type: Contract

Job Types: Full-time, Contract

Work Location: In person