915 Data Scientist jobs in Singapore

Data Scientist

Who We Are:

Veson Nautical is a global software and data business that provides the maritime commercial industry with a standard platform to streamline operations, offer insightful analytics, and drive unparalleled efficiency.

In this role, you will be working in Veson Nautical’s Data Science team. This is a group of experts in data science, artificial intelligence, and other quantitative disciplines, drawn from industry and academia. Its role is to transform Veson Nautical’s rich data assets into actionable intelligence.

The Opportunity:

The Data Science team plays a vital role in driving innovation through research and development of data driven products. Working closely with product managers, software engineers, and clients, our data scientists understand commercial needs and align their research to solve high value problems. The team’s fundamental mission is to extract insights from data to support maritime commercial decisions.

Our Stack:

The Data Science team writes applications mostly in Python, with some TypeScript and JavaScript as required. We deploy services primarily to AWS EKS via ECR and GitLab CI/CD. We commonly use SQL and GQL to access data from internal systems. We have access to cutting edge AI tools.

Location:

This role is hybrid, with 2–3 days per week in either our London or Stoke-on-Trent office .

Key Responsibilities:

• Collaborate with product managers, software engineers, commercial teams, and clients to understand product requirements and translate them into relevant R&D.
• Design and develop robust data pipelines, ensuring the efficient collection, transformation, analysis, and derivation of maritime data from various sources.
• Apply the scientific method to measure and maximize the performance of the model, algorithm, or application being developed.
• Use programming languages, especially Python, to build statistical models and algorithms for predictive and prescriptive analytics.
• Create and deploy production ready data processing pipelines, algorithms, and applications.

Essential Skills and Experience:

• EITHER proven commercial experience in data science (to include machine learning and artificial intelligence applications).
• OR a doctoral degree in data science or other highly quantitative discipline s (such as mathematics, physics, biosciences, computer science, engineering).
• Strong programming skills in Python or other languages commonly used for data analysis and mathematical modelling (such as R, MATLAB, C and its derivatives).
• Knowledge of the principles and practice of statistical analysis and machine learning.
• Experience of data visualization and reporting.

Desirable Skills and Experience (not required) :

• Use of Application Programming Interfaces (APIs) for data retrieval and delivery.

We are building a diverse and inclusive workforce. If you are excited about this role but do not meet 100% of the qualifications listed above, we encourage you to apply. While we try to be thorough with our job descriptions, not everything about you as a candidate can be condensed into a list of bullet points.

More A bout Veson:

We are a team of multi-disciplinary professionals dedicated to making our clients successful by charting a new and innovative course for the maritime commercial industry. We invest heavily in employee development and experience to promote enthusiasm and creativity. We are a dynamic blend of engineers, scientists, artists, sailors, teachers, brokers, bankers, traders, and consultants.

Veson Nautical is a successful and rapidly growing global software company. Our clients are the world’s leading commercial maritime owners, operators, and commodity trading companies. Our solutions enable clients to identify new opportunities and make more profitable decisions. With headquarters in Boston and offices in London, Singapore, Seoul, Shanghai, Hong Kong, Oslo, Manila, Tokyo, Houston to name but a few, our committed team of professionals brings decades of commercial experience and technical knowhow to clients around the world.

The combination of exceptional market growth and leading market position makes this a superb opportunity for the right candidate.

#LI-Hybrid

Are you passionate about solving complex problems with data? We’re looking for an experienced Data Scientist to join our client’s team in Singapore and drive impactful solutions in the financial services space.

Responsibilities:

• Develop and deploy machine learning models using supervised and unsupervised learning techniques.

• Apply outlier and anomaly detection methods to improve risk monitoring and business decision-making.

• Work with large, complex datasets to deliver actionable insights for high-stakes projects.

• Collaborate with cross-functional teams (business, technology, and compliance) to translate requirements into data-driven solutions.

• Contribute to the continuous improvement of data science practices and methodologies within the team.

Requirements:

• 5–8 years of hands-on data science experience in a banking or financial services setting.

• Strong expertise in machine learning (supervised, unsupervised, anomaly detection).

• Proficiency in Python, R, SQL, and modern ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).

• Analytical mindset with experience handling large and complex datasets .

• Strong communication and stakeholder management skills to explain models and insights clearly.

Nice to Have

• Experience in banking, financial crime, AML/KYC , or network link analytics .

• Knowledge of MAS/HKMA AML/CFT regulatory requirements.

• Familiarity with cloud data platforms and MLOps practices.

About TSC

The Stakeholder Company (TSC) is a global artificial intelligence (AI) firm at the forefront of AI-native stakeholder relationship management. Our flagship solution, Genie, delivers comprehensive and in-depth situational awareness through advanced open-source monitoring, seamlessly complementing existing stakeholder monitoring and engagement workflows. Genie leverages a sophisticated AI ecosystem to intelligently filter online news sources, extracting events relevant to the millions of stakeholders it tracks. We proudly serve Fortune 500 companies and leading NGOs worldwide, operating in over 95 countries and across 20+ industries.

What we do:

Our data science applications are designed to empower users to monitor media trends, track developing conversations, and gain insights into stakeholders. We utilize natural language processing tools for text classification and media item recommendations, as well as to extract stakeholder information that complements data curated by our specialists. Through graph analytics, we are developing tools to uncover insights from complex stakeholder relationship data, assessing their relevance and importance to Genie users. Our in-house RAG engine transforms this curated data into highly contextualized insights for recommendation, monitoring, and analysis, seamlessly integrated with user workflows. Our overarching goal is to provide an intelligent and seamless user experience.

About the role:

Passion and work ethic are our priority. We are looking for someone who has seen what AI and machine learning can do and is excited by the opportunities available. Qualifications are secondary, but we expect you to demonstrate the tenacity to overcome a steep learning curve and the humility to learn from people of diverse backgrounds. You are not afraid to speak your mind in discussions, and we can rely on you to provide considered, substantive, and practical ideas.

Key Responsibilities:

• Collaborate closely with product and engineering teams to translate complex business problems into production-ready data science applications.
• Research, enhance, and validate state-of-the-art technologies, with a particular focus on advancements in graph mining, graph analytics, and natural language processing.
• Ensure rigorous documentation and validation of all developed applications prior to deployment.

What We’re Looking For:

• A senior or a mid-experience data scientist
• A profound passion for data science and big data technologies, coupled with a commitment to continuous learning and staying abreast of industry advancements.
• Demonstrated comfort working with large-scale datasets in production.
• Exceptional ability to articulate complex data science concepts clearly and concisely to diverse audiences.
• Proficiency in common machine learning and deep learning algorithms, including a solid understanding of various optimization and loss functions.
• Expertise in common graph mining and analytics techniques, including community detection, recommendation systems, label propagation, and various classification tasks.
• Familiarity with standard text processing techniques.
• Proficiency in Python and SQL is required. Experience with additional languages such as TypeScript, JavaScript is a plus.
• Familiarity with agent toolkits and frameworks like Langgraph, CrewAI.
• Familiarity with data processing toolkits, libraries, and approaches for handling large text or graph datasets.

Things you should expect from TSC:

• We strive to be the best place you will ever work for;
• Fast-track learning through exposure to various roles across the organization;
• Honed skill sets;
• Direct access, respect, and mentoring from the leadership with an interest in your development.
• Hybrid working arrangement (3 days WFO, 2 days WFH)
• Annual leave: 20 days per year
• International opportunity to expose and grow
• Other benefits to be shared in the interview

Team Culture - How do you find yourself fitting in our team:

• Intellectual curiosity for the world around you, technology, and our clients' needs
• Solid general knowledge and skills in your core area
• Excellent problem-solving capabilities and adaptability
• Enthusiasm for finding elegant, pragmatic solutions
• Team player – we’re a small, close-knit team and excellence is expected, as is the capability to take on and own big challenges, solving conventional challenges in unconventional ways, all without losing your sense of humor and fun

Hiring Process: The result of each interview round will be provided within 1 - 2 weeks.

• 1st round - Online HR interview: 30 minutes
• 2nd round - Take-home Assignment: to be delivered within 48 hours
• 3rd round - Technical Interview: 1 hour
• Final round - Culture-fit interview: 1 hour
• Background checks

We are an equal opportunity employer and welcome applications from all qualified individuals regardless of age, race, nationality, gender, religion, marital status, family responsibilities, or disability. Selection will be based on merit and in accordance with the Tripartite Guidelines on Fair Employment Practices.

Direct message the job poster from Nicoll Curtin

Are you passionate about solving complex problems with data? We’re looking for an experienced Data Scientist to join our client’s team in Singapore and drive impactful solutions in the financial services space.

Responsibilities

• Develop and deploy machine learning models using supervised and unsupervised learning techniques.
• Apply outlier and anomaly detection methods to improve risk monitoring and business decision-making.
• Work with large, complex datasets to deliver actionable insights for high-stakes projects.
• Collaborate with cross-functional teams (business, technology, and compliance) to translate requirements into data-driven solutions.
• Contribute to the continuous improvement of data science practices and methodologies within the team.

Requirements:

• 5–8 years of hands-on data science experience in a commercial or financial services setting.
• Strong expertise in machine learning (supervised, unsupervised, anomaly detection).
• Proficiency in Python, R, SQL, and modern ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Analytical mindset with experience handling large and complex datasets .
• Strong communication and stakeholder management skills to explain models and insights clearly.

Nice to Have

• Experience in banking, financial crime, AML/KYC , or network link analytics .
• Knowledge of MAS/HKMA AML/CFT regulatory requirements.
• Familiarity with cloud data platforms and MLOps practices.

This is initial 3 months contract renewable.

• Seniority level Mid-Senior level

• Employment type Contract

• Job function Information Technology and Consulting
• Industries IT Services and IT Consulting

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Johor Baharu, Johore, Malaysia 3 days ago

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Experienced Professional - Management Consulting Full-time Hybrid Singapore, Singapore

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We are an established, globally active management consulting company with offices in Switzerland, Germany, Austria, UK, USA, Singapore, Hong Kong, the Philippines, Australia, Indonesia, and India. We are a valued partner to many of the world's largest international financial services and insurance firms. We support our clients at all project management stages, from the development of strategies and operational frameworks to technical implementation and handover. Our expertise in business and technology, combined with our methodical approach, enables us to create sustainable added value for our clients' businesses.

• Want to transform Financial Services with you!
• Are inclusive and diverse.
• Are committed to creating a flexible, supportive work environment that helps you effectively manage your work and family commitments.
• Embrace innovative thinking and entrepreneurship in everything we do.
• Are award-winning and known for our commitment to outcomes.
• Apply the latest technology and new ways of working.
• Support your personal growth.

• BSc (or above) in Statistics, Mathematics, Computer Science, Engineering, or a relevant field; graduate degree in Data Science or other quantitative fields.
• At least 3 years of working experience in data science.
• Deep understanding of applied statistics, mathematics, and building supervised and unsupervised machine learning models.
• Applied knowledge in Python, R, Power BI, Scala, SQL, and Jupyter notebooks.
• Hands-on experience with LLMs and other Generative AI techniques.
• Experience in running and statistically evaluating models such as Machine Learning, Optimization, Neural Networks, and other AI approaches.
• Familiar with data visualization techniques to present valuable insights.
• Knowledge of design thinking and experience collaborating closely with designers.
• Familiar with Agile Software Development practices.
• Motivated to transform Financial Services (Banking & Insurance).
• Love solving complex problems and finding the best solutions for users.
• Ability to work independently and guide colleagues.
• Proficiency in Mandarin to liaise with Mandarin-speaking counterparts and handle official documents in these languages.

Depending on the candidate's skill set, interview outcome, and client engagement, this role may be placed on a contractual basis.

• Flexible working hours with part-time options and hybrid models.
• Attractive benefits and salary structures aligned with the market.
• Modern, centrally located office with good public transport links.
• Can-do mentality and a collaborative culture.
• Varied events and employee initiatives.

• Resume
• Job references
• Qualifications (bachelor's/master's diploma, transcripts, etc.)
• Motivation letter: Why Synpulse? Why you? Why this role?

If you approach your tasks with commitment and enjoyment, believe teamwork achieves better results, are proactive, and willing to go the extra mile, we look forward to your application at .

Our people are our most valuable asset. They drive our growth and anchor our success. They are experts, thought leaders, and trusted partners to our global clients. The Synpulse OneSpirit reflects in our culture of collaboration, inclusion, entrepreneurship, and fun. We are committed to our communities and celebrate success together with our Synpulse crypto token.

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About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

About Cubist

Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.

Job Description

We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance.

Cubist’s data services group is looking for a Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world.

This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments.

Job Responsibilities

• Identification of new data sets
• Engaging with vendors to understand characteristics of datasets
• Building processes and technology tools to ingest, tag and clean datasets
• Analysis of datasets to generate descriptive statistics and propose potential applications of data
• Research of potential “alpha signals” for presentation to Portfolio Managers
• Monitoring and enhancing the automated data collection and cleansing infrastructure
• Research on new technologies for improved data management and efficient retrieval
  
  

• Ph.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques
• At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role
• Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling
• Experience applying statistical tests to large data sets
• Programming skills in SQL, TSQL, SQL Server or PL-SQL
• Programming skills in Python and at least one of C#, C++, or Java
• Financial industry experience preferred but not required
• Experience dealing with intraday, tick and order book data a plus
• Strong problem solving skills
• Intellectual curiosity and a love of learning
• Attention to detail and a love of process
• Strong oral and written communication skills

• Seniority level Entry level

• Employment type Full-time

• Job function Engineering and Information Technology

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About the Role

Looking for an experienced and forward-thinking Data Scientist to join my client's growing data science team. This role emphasizes the application of Generative AI and advanced machine learning techniques to solve complex business challenges, particularly within sales and operational domains. You will play a key role in building scalable, secure, and impactful solutions using the AWS tech stack .

Key Responsibilities

• Own and lead the delivery of end-to-end AI/ML solutions , from conceptualization and development to deployment and iterative enhancement.
• Design and implement Generative AI use cases to improve sales enablement and drive operational efficiencies.
• Collaborate with data engineers, product specialists, and stakeholders to translate business needs into robust and scalable technical solutions.
• Leverage AWS services (e.g., Bedrock, S3, Lambda, Redshift, Step Functions ) to build, deploy, and maintain ML models and data pipelines.
• Develop techniques such as document chunking, embeddings, RAG, and prompt engineering to enhance model accuracy and contextual performance.
• Implement model evaluation frameworks and governance processes to ensure model integrity, reduce hallucinations, and uphold data privacy regulations (e.g., PDPA).
• Maintain clear documentation for datasets, model logic, performance tracking, and workflows.
• Champion best practices in MLOps , automation, and CI/CD processes on AWS.
• Actively contribute to knowledge sharing, innovation, and continuous improvement within the team.

Required Skills & Qualifications

• 3–5 years of hands-on experience in data science or machine learning, with strong exposure to AWS-based platforms .
• Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
• Strong experience with Gen AI and LLM frameworks , including:
• AWS Bedrock and foundation models (Anthropic Claude, Amazon Titan, Meta Llama).
• Prompt engineering and model fine-tuning techniques.
• Retrieval-augmented generation (RAG) and agentic flows.
• Proficiency in Python , SQL , and Spark .
• Sound knowledge of ML algorithms: linear & logistic regression, decision trees, clustering, boosting models.
• Experience in feature engineering, model evaluation , and hyperparameter tuning .
• Proven experience with MLOps practices on AWS , including versioning, deployment, and monitoring.
• Familiarity with modern data warehouse tools (e.g., Redshift, BigQuery, Snowflake, Hive).
• Understanding of AI ethics, governance, and compliance with data privacy regulations.
• Excellent communication and stakeholder management skills.
• AWS certifications are a strong advantage.

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Kin Long Fok

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R

About the Role
We’re on the hunt for a Data Scientist who’s not just good with numbers, but also excited about shaping the future of AI. If SQL queries feel like second nature, Python is your playground, and the idea of building with LLMs (think RAG pipelines and prompt engineering) gets you pumped — this role is calling your name. You’ll dive into big data, cloud platforms, and machine learning to turn raw information into game-changing insights and scalable AI solutions.

What You’ll Do

• Slice, dice, and analyze massive datasets using SQL and Python to find insights that matter.
• Create sleek, interactive dashboards in Power BI to keep the business one step ahead.
• Build, train, and deploy machine learning models that actually make an impact.
• Experiment with LLMs — from prompt engineering to building RAG pipelines — to push the boundaries of what’s possible.
• Use AWS to wrangle data workflows and deploy models at scale.
• Collect and curate high-quality data to fine-tune next-gen LLMs.
• Share your findings in a way that excites both data nerds and non-techies alike.

What We’d Love to See

• A Bachelor’s or Master’s degree in Data Science, Analytics, Computer Science, or something equally data-driven.
• Solid hands-on experience with SQL, Python, Power BI, and AWS, Model Training, Model Deployment, RAG, Prompt Engineering
• 3+ years working with data visualization tools (Power BI or Tableau).
• Familiarity with cloud platforms like AWS or Azure.
• Strong background in training and deploying ML models.
• Experience working with LLMs, RAG pipelines, and prompt engineering.
• Clear communicator, great collaborator, and someone who can keep projects moving smoothly.

MiRXES is a Singapore-headquartered molecular diagnostic company with R&D, manufacturing, and clinical lab operations in Singapore, USA, Japan, and China. We specialize in microRNA technologies and the development, manufacturing, and provision of diagnostic test kits and clinical services. Our mission is to enable early disease detection and provide insights for better patient care by harnessing the power of microRNA to augment traditional testing. Our vision is to be the world’s leading developer and provider of accurate, actionable, and affordable microRNA-powered diagnostic tests.

Job Location: Helios (Biopolis)

Job Summary

The Data Scientist will lead different projects, through the exploration from vast amount of data we generate in house to develop cancer diagnosis products. This individual will also collaborate with clinical, assay development, and product teams to guide project direction and design using data-driven insights.

Roles and Responsibilities

• Perform in-depth analysis on data with various machine learning and statistical methods.
• Discover hidden information in data; present data and analysis results in a logical and coherent manner to facilitate scientific contend creation.
• Through data analysis, identify novel DNA/RNA/ncRNA biomarkers for cancers OR develop models for multi-marker diagnostic test.
• Work with deep learning to integrate omics data with radiomics from CT and X-Ray images.
• Develop novel analytics tools and methods for better understanding of data, data generation process refinement and quality control.
• Facilitate the design and execution of experiment, process set up and quality control set up with statistical insights.
• Support other commercial activities.

Desired Skills and Competencies

• PhD/MSc. in related science background
• At least 2 years of experience in developing multi-marker diagnostic models, including data processing and machine learning.
• Good understanding of diagnostic biomarker discovery and biomarker panel optimization
• Good coding skills
• In-depth experience with NGS is desired.
• In-depth experience with circulating nucleic acid analysis is desired.
• Good verbal communication, interpersonal skills, and ability to work in a team.

This position is based in Singapore.

We appreciate your interest in the above-mentioned position, however, only shortlisted candidates will be contacted.