955 Data Scientist Roles jobs in Singapore

We are hiring a Business Data Mining Analyst to join our team to support a project we have with a leading global digital banking and payment services company.

This is a contract role that blends data analysis, data mining, and business reporting. We are looking for someone with 2–3 years of experience in a similar role, preferably within financial services, and with exposure to marketing or customer analytics.

You will work with internal teams to manage acceptance data across APAC, validate information using tools such as Salesforce, Tableau, and Excel, and deliver actionable insights to support both marketing and business stakeholders.

This is a great opportunity to work with a globally recognised brand on regional, data-driven marketing initiatives.

To apply, please send us your updated CV. Only shortlisted candidates will be contacted.

Responsibilities

About The Team

The e-commerce industry has seen tremendous growth in recent years and has become a hotly contested space amongst leading Internet companies, and its future growth cannot be underestimated.

With millions of loyal users globally, we believe TikTok is an ideal platform to deliver a brand new and better e-commerce experience to our users. Our product engineering team is responsible for building an e-commerce ecosystem that is innovative, secure and intuitive for our users. We are looking for passionate and talented people to join us as we drive the future of e-commerce here at TikTok.

Responsibilities

- Responsible for development of data-empowered capabilities for e-commerce platform, enable different e-commerce verticals to extract and apply key insights from oceans of data to meet their business needs.

- Data mining for e-commerce, building tagging system based on massive data, analysing user, traffic, e-commerce and other data, combining with business to improve GMV.

- Data analysis, mining, model specific productization; understanding of e-commerce business, able to work with PM to continuously optimize data products based on data-driven.

- Develop data mining pipelines to extract data assets (eg. entity labels) from aggregated data and enable the extraction of actionable insights from large volumes of domain data.

- Design and development of various strategies, algorithms and machine learning techniques to improve the accuracy and coverage of extracted data assets.

- Analyze e-commerce data-related business problems and abstract them into data-related requirements that are then implemented to help resolve key business problems.

Qualifications

Minimum Qualifications

- B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions.

- 5 years experience in data structures and algorithms, familiar with one or more: machine learning, natural language processing, data mining.

- Familiar with one of the Python/Java/Go/C++ programming languages.

- Familiar with common data processing technologies (Hadoop, Spark, Hive, Storm, Flink), with demonstrable coding skills.

- Familiar with common data mining techniques and machine learning algorithms (GBDT, Xgboost, FM, DFM, etc.), and familiar with their principles and scope of application.

- Proficiency in data mining, machine learning tools and common frameworks (TensorFlow, Pytorch).

Preferred Qualifications

- Continuous learning, keeping up with the latest research directions and results in the field of machine learning, for the exploration of big data applications in various vertical areas.

- In-depth research experience in analysis and mining of user behaviour data and construction of user portraits.

- Data mining experience in vertical industries (e-commerce, finance, games, travel, real estate, etc.).

- Development and optimisation of advertising and recommendation algorithms.

Job Information

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.

Diversity & Inclusion

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

About Us

iCOMPASS Pte. Ltd. is a Singapore-headquartered RegTech company and spin-off from a leading advisory firm. iCOMPASS develops the world's first AI-powered compliance operating system designed for financial institutions. Designed in Singapore and built for global scalability, iCOMPASS is redefining how the financial industry approaches compliance in the age of AI.

Built at the intersection of regulatory expertise and cutting-edge technology, iCOMPASS transforms compliance from a reactive obligation into a proactive governance framework. With a vision to make regulatory compliance accessible, seamless, and adaptive, iCOMPASS empowers financial institutions of all sizes to reduce cost, mitigate risk, and enhance productivity.

Roles & Responsibilities

The successful candidate will design, build, and optimize LLM-driven solutions that support regulatory compliance, risk management. This role requires a deep understanding of both machine learning/NLP systems and compliance frameworks. The following summarises the scope of work:

• Model Development & Deployment

• Develop custom pipelines integrating structured (databases, transactions) and unstructured (news, documents, chat logs) data for compliance workflows.

• Implement explainability and interpretability layers to meet regulatory expectations.

• Compliance & Risk Applications

• Build systems that detect and classify financial crime risks (PEPs, RCAs, UBOs, sanctions exposure).

• Automate compliance document processing, regulatory reporting, and policy interpretation.

• Work closely with compliance officers to translate regulatory obligations into machine-executable rules.

• Systems Integration

• Deploy LLM-powered applications into enterprise-grade financial compliance platforms.

• Ensure robustness, scalability, and security of deployed models in production environments.

• Collaborate with engineering teams to integrate APIs, knowledge graphs, and third-party datasets.

• Research & Innovation

• Stay current with LLM advancements (RAG, fine-tuning, agents) and evaluate their applicability to compliance.

• Prototype tools for proactive risk detection and regulatory change monitoring.

• Others: Assist in ad-hoc projects or initiatives as assigned by management.

Requirements:

• Bachelor's Degree in Computer Science and any other relevant disciplines
• Strong analytical skills with the ability to assess risk and regulatory impact
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and presentation skills

Why Join Us?

• Engage in exciting projects to enhance compliance processes through innovation.
• Collaborative and dynamic work environment with opportunities for growth.
• We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
• If you are looking to create impact in the regulated industry through technology transformation, this job is for you

If you are passionate about cross-pollinating regulatory compliance and technology, and enjoy problem-solving in a fast-paced environment, we invite you to apply for this role

Key Responsibilities

• Model Selection & Optimization: Identify, experiment with, and fine-tune state-of-the-art machine learning models for tasks such as video analytics, object recognition/detection, fraud detection, and multimodal generative AI.
• Deep Learning & LLMs: Work with transformer architectures, foundation models, and generative AI to develop and enhance multimodal AI solutions.
• Computer Vision: Develop and optimize models for real-time object detection, tracking, and recognition in video streams, ensuring performance in diverse conditions.
• Fraud Detection and other anomaly detection: Design and implement machine learning models for anomaly detection and fraud prevention using advanced statistical and AI techniques.
• Data Engineering & Processing: Preprocess large datasets, design efficient pipelines for real-time and batch processing, and integrate multimodal data sources (images, text, audio, video).
• Deployment & Scalability: Deploy models in production using cloud-based or edge computing solutions, ensuring performance, scalability, and cost-efficiency.
• Research & Innovation: Stay updated on the latest AI research, evaluate emerging models, and propose enhancements to improve performance and robustness.
• Collaboration & Integration: Work closely with software engineers, data scientists, and domain experts to integrate AI models into end-user applications.

Requirements

• Degree in Computer Science, AI, Machine Learning, or a related field.
• 4 to 5 years of relevant experience
• Strong experience in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in computer vision techniques, including object detection (YOLO, Faster R-CNN), video analytics, and multimodal learning.
• Hands-on experience with LLMs, transformers (GPT, BERT, T5, CLIP, etc.), and multimodal AI for text, image, and video synthesis.
• Experience in fraud detection and/or anomaly detection using machine learning, pattern recognition, and risk modeling.
• Experience in AWS SageMaker for model training and deployment preferred.
• Familiarity with MLOps and deployment on cloud platforms (AWS and/or GCP preferred) or edge devices.
• Strong problem-solving and analytical thinking abilities.
• Ability to work in a fast-paced, research-driven environment and adapt to evolving challenges.
• Excellent communication skills for presenting findings and collaborating across teams.
• Experience working with autonomous systems, robotics, or edge AI is a plus.

Interested parties, please click the "Apply Now" below AND apply via the GO portal.

We regret that only shortlisted applicants would be notified.

Toh Wen Qi, Celeste | REG No : R

PERSOLKELLY SINGAPORE PTE LTD | EA License No : 01C4394

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at You acknowledge that you have read, understood, and agree with the Privacy Policy.

• Bachelor's Degree in Computer Science and any other relevant disciplines
• Strong analytical skills with the ability to assess risk and regulatory impact
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and presentation skills

• Engage in exciting projects to enhance compliance processes through innovation.
• Collaborative and dynamic work environment with opportunities for growth.
• We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
• If you are looking to create impact in the regulated industry through technology transformation, this job is for you

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

At Atlassian, we’re on a mission to unleash the potential of every team. As part of that mission, we're investing deeply in Generative AI — pioneering advanced modeling and rapid innovations that accelerate how teams work, discover, and create.

We’re seeking a Machine Learning Engineer (P40) to join our new GenAI Modeling & Innovation Forge in Singapore. You’ll work with a small, high-impact team focused on advanced GenAI modeling, rapid prototyping, and applied research—building the foundations of the next generation of AI-powered innovations across Atlassian.

Contribute to Advanced GenAI Models

Implement and fine-tune LLMs and embeddings under guidance from senior engineers and scientists.

Build retrieval-augmented generation (RAG) and hybrid retrieval pipelines.

Apply modern frameworks and best practices to support team experiments and prototypes.

Prototype and Experiment

Help build proof-of-concept systems for GenAI-powered assistants and agentic workflows.

Run experiments, collect data, and iterate quickly to improve models and features.

Contribute to evaluation pipelines for groundedness, quality, and reliability.

Collaborate and Learn

Work closely with ML engineers, applied scientists, and product teams to deliver end-to-end prototypes.

Learn and apply best practices in ML engineering, experimentation, and deployment.

Share results and insights to help drive the Forge’s mission of rapid innovation.

2–4 years in ML/AI engineering or applied ML roles.

Hands-on experience with at least one area: LLMs, NLP, embeddings, search/retrieval, or ML pipelines.

Exposure to building or deploying ML-powered features or prototypes.

Proficiency with ML frameworks (PyTorch, TensorFlow, Hugging Face).

Familiarity with modern GenAI tools (LangChain, LlamaIndex) and vector databases (Weaviate, Pinecone, FAISS).

Solid coding skills in Python and ability to write clean, maintainable code.

Curiosity, adaptability, and eagerness to learn in a fast-paced environment.

Bachelor’s in Computer Science, Machine Learning, or related field—or equivalent practical experience.

Experience with data pipelines, backend engineering, or cloud platforms (AWS, GCP, Azure).

Familiarity with search evaluation metrics (e.g., NDCG, ).

Contributions to open-source ML/GenAI projects.

Strong interest in applied research and rapid prototyping.

Be part of the founding team of Atlassian’s Singapore-based GenAI Modeling & Innovation Forge .

Work on cutting-edge applied GenAI projects with global visibility and impact.

Learn from experienced engineers and scientists while contributing to meaningful prototypes.

Join a mission-driven, remote-first company where innovation and growth are celebrated.

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

Don’t see an exact role match? No problem! Join our Talent Community and stay up-to-date on company and careers updates relevant to your career.

That is a lot of computing power, so why do we need it?

We’re pushing the boundaries of AI by building cutting-edge machine learning models and tools from the ground up. To support this, we’ve invested heavily in high-performance computing, including the Ahrefs Superpod, which boasts 60 nodes from 63 and scored 19.7 PFlops in Linpack—ranking it among the top 30 supercomputers in the world. Simply put, we have the infrastructure to turn ambitious ideas into reality.

For over a decade, Ahrefs has been crawling the web, processing petabytes of data, and delivering powerful insights through an intuitive interface. Now, we’re leveraging this expertise to develop innovative AI-driven solutions that help users navigate, analyze, and extract value from vast amounts of information like never before.

Let’s put that compute power to use!

In this role you’ll have the opportunity to work on cutting-edge research and turn it into real-world impact. Weu2019re looking for a dynamic Machine Learning Engineer to join us in creating cutting-edge AI products that push the boundaries of what’s possible. Bring your creativity, develop your own ideas, and see them through—from fuzzy concepts to production, all in a fast-moving, red-tape-free environment.

• Work on LLMs and other AI models, spanning training, fine-tuning, inference optimization, and new architectures.
• Algorithm Research & Development
  • Design and implement algorithms for search, agents, knowledge retrieval, and generative AI applications.
• Stay on the Cutting Edge
  • Stay ahead of NLP and RL advancements, evaluate emerging models/frameworks (e.g., SSMs, text diffusion), and assess their impact on our products.
• Scaling & Optimization
  • Optimize model inference, reduce latency, and improve efficiency using techniques like distillation, quantization, and tensor parallelism.
• Collaborate with Engineering & Product Teams
  • Work closely with engineering and product teams to ship AI-driven features at scale.

• Experience with modern deep learning frameworks (e.g., PyTorch, JAX).
• Familiarity with transformer-based architectures and techniques (e.g. flash attention, speculative decoding, KV caching).
• Strong software engineering skills (Python, CUDA, or C++ a plus).
• Interest in one or more areas: large-scale training, agentic workflows, inference optimization, retrieval-augmented generation (RAG), reinforcement learning (RLHF/RL), or multimodal AI.
• Experience with distributed training and model deployment libraries (e.g. Megatron, Ray, Triton (both or either!), vLLM) is a bonus.

You’ll have opportunities to work on projects at the cutting edge of AI.You’ll get the chance to shape the future of our product and make a real impact.

If you're a Machine Learning Engineer with the drive to turn research into reality, we'd love to hear from you! Join us and be part of a team that's pushing the boundaries of technology and innovation.

Overview

• Optimize the recommendation quality and user profile on Company's website, providing users the best shopping experience.
• Combine your understanding of product objectives and leverage modern machine learning, NLP and multimodal techniques to improve the recommendation result metrics.
• Collaborate with product teams, DAs, and other engineers to deliver features that drive experience optimization of products.

Requirements：

• At least 5 years of hands-on experience in recommender systems, with solid understanding of system architecture and core components (e.g., recall, ranking, re-ranking, exploration, cold start).
• Bachelor degree or above in computer science or a related technical discipline;
• Proficient coding skills and strong algorithm & data structure foundation in Java/Scala;
• Practical experience in one or more related areas such as NLP, Ads, Search, or Machine Learning;
• Effective communication and teamwork skills, proficiency in Mandarin is a plus, as the role involves collaboration with clients based in China.

HOW TO APPLY:

Interested applicants, kindly send your resume in MS WORD format to or please click on “Apply Now” and provide the below details in your resume.

1. Reasons for leaving ALL your employment
2. Current and/or last drawn monthly salary (please provide breakdown)
3. Expected monthly salary
4. Availability

We regret only shortlisted candidates will be notified.

Important Note: Career International - FOS Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA). Please read our privacy statement on our corporate website

Career International - FOS Pte Ltd

EA License No: 14C6926

EA Personnel: Foong Mei Qi

EA Personnel Reg No: R

Arrowpoint is an Asia-focused multi-strategy hedge fund firm headquartered in Singapore, founded by former Millennium Management Asia co-CEO Jonathan Xiong. The fund launched in July 2024 with $1 billion—making it one of the largest hedge fund launches in Asia’s history. Backed by prominent investors including Blackstone, the Canada Pension Plan Investment Board, and Temasek Holdings, we operate with portfolio managers across Singapore and Hong Kong, integrating diverse strategies such as Equities, Fixed Income, and Commodities.As we continue to grow, we are seeking driven individuals to join our team and contribute to our mission.

We are on the lookout for a Junior Machine Learning Engineer who will play a key role in enhancing our Machine Learning capabilities, focusing on innovative solutions for systematic strategies. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our AI strategy.

Key Responsibilities

ML Engineering and Operations:

Develop, implement and optimize predictive models using machine learning and deep learning / AI techniques.

Deploy, maintain and monitor production models on AWS.

ETL & Data Management:

Design and develop efficient ETL pipelines to process and manage large volumes of financial data and alternative data.

Ensure data integrity and accuracy across various data sources.

Cloud Computing:

Utilize Cloud services to deploy and manage machine learning models in a scalable and reliable manner (Terraform, AWS ECS, Docker, CI/CD pipelines).

Optimize Cloud resources for performance and cost-effectiveness.

End-to-End Solution Development:

Engage in the complete lifecycle of model development, from data collection and preprocessing to model deployment and monitoring.

Explore and implement innovative techniques to solve complex financial problems.

Stay current with the latest advancements in machine learning and data science to continually improve and innovate.

Result-Oriented Approach:

Focus on delivering high-impact results.

Communicate findings and recommendations effectively to senior stakeholders.

Requirements & Qualifications:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, Mathematics, or a related field.

1-3 years of hands-on experience in data science and machine learning (exposure to financial markets in a professional context in a plus).

Proficiency in Python and relevant libraries (e.g., scikit-learn, Polars, PyTorch).

Experience with AWS services (e.g., S3, ECS, Lambda, Athena, CloudWatch, etc.).

Strong understanding of Data platform ETL processes and tools.

Excellent problem-solving skills and a creative mindset.

Strong communication and collaboration skills.

This website contains important legal and proprietary information concerning Arrowpoint Investment Partners (Singapore) Pte. Ltd. and its affiliates (“Arrowpoint”). The content of this website is intended for information purposes only and is not intended as advertising or promotional material in any respect. The information contained in this website is not and should not be regarded as an offer or solicitation of business, nor should it be construed as an offer, solicitation, invitation, or recommendation to buy or sell any securities, funds, or other investment products. Nothing in this website constitutes an offer or promise of employment with Arrowpoint with respect to any role described herein. Arrowpoint reserves the right, without notice, to remove, change or modify the terms of any role described herein. Any offer of employment with Arrowpoint shall be solely in accordance with the specific terms of such offer of employment. While Arrowpoint takes reasonable care to ensure that the information on this website is accurate and up to date, Arrowpoint assumes no obligation to update such information on a timely basis. Arrowpoint Investment Partners (Singapore) Pte. Ltd. is licenced by the Monetary Authority of Singapore to conduct the regulated activity of fund management. Arrowpoint Investment Partners (Hong Kong) Limited is licenced by the Securities and Futures Commission of Hong Kong to carry on the regulated activity of asset management.