289 Data Scientist jobs in Singapore

• Partner with stakeholders to define project objectives, gather business requirements, and identify relevant data sources
• Perform exploratory data analysis and deliver rapid analytical iterations to refine problem statements and surface actionable in
• Design and implement suitable machine learning algorithms or statistical models to solve targeted business problems

Summary

We are looking for a Data Scientist with expertise in Natural Language Processing to work on developing Machine Learning Algorithms and implement NLP/LLM solutions.

Key Responsibilities:

• Partner with stakeholders to define project objectives, gather business requirements, and identify relevant data sources.
• Perform exploratory data analysis and deliver rapid analytical iterations to refine problem statements and surface actionable insights.
• Design and implement suitable machine learning algorithms or statistical models to solve targeted business problems.
• Interpret and effectively communicate analytical outcomes to both technical and non-technical stakeholders.
• Collaborate with Data and ML Engineers to deploy models and algorithms into production environments.
• Support the development of scalable data science infrastructure, tools, and frameworks to streamline analysis, experimentation, and deployment.
• Stay abreast of industry trends and best practices to continuously enhance the team’s capabilities and methodologies.
• Ensure solution delivery is aligned with Agile principles and development practices.

The Candidate:

• Minimally 3 years of experience in Data Science focusing on NLP/LLM with demonstrated experience of delivering data driven solutions.
• Strong experience in Python and SQL on data manipulation and analysis libraries.
• Proven experience with machine learning frameworks, libraries and data visualization tool
• Proven ability with AWS/Azure services relating to NLP/LLM.
• Ability to perform root cause analysis and resolve technical problems.
• Excellent communicator with ability to present findings and key concepts across to technical and non-technical stakeholders.
• Independent and proactive team player.

We regret to inform that only shortlisted candidates will be notified / contacted.

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Responsibilities:

We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.

Join the WeChat team and play an impactful role in keeping people around the world connected, helping redefine how people use their mobile devices to communicate and interact online and to better understand user behaviour and preferences of users worldwide.

• Analyse behavioural trends to identify malicious activities and detect anomalies in the WeChat ecosystem via data analysis and machine learning.
• Devise appropriate strategies to track fraudulent accounts and protect users from spam or fraudulent activity.
• Deploy and maintain machine learned models to help detect malicious accounts.

Requirements:

• Bachelor degree in Computer Science, Data Science, Mathematics, Economics, or Statistics or similar quantitative field.
• Ability to communicate complex ideas to non-technical stakeholders in a way they can easily understand and appreciate.
• Experience on building machine learning or deep learning solutions.
• Good knowledge of Python programming language, C/C++/Go programming language is preferred.
• Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.
• Fluency in both English and Mandarin to deal with international stakeholders and stakeholders who are based in HQ.

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You know all about our users, through data analysis. And because you do, you can identify issues and present insights to our Product Owners, spurring them into action. Working with your team, you play a key role in enhancing our business value. After all, you're the one who ignited the spark. And no spark, no fire.

Job Description

What a Data Scientist does in Titansoft

• Conduct data analysis to support Product Owner and Business Leaders in business decisions and requirements
• Develop and automate reports for analytical purposes
• Collaborate with other Product Development teams to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations
• Support key decision makers to improve products and services

Job Requirements

What we are looking for in a Data Scientist

Qualifications

• Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications

Experience

• Experience working with statistical software (e.g. R, Python, Excel, etc.) Basic statistical principles and practical applications
• Experience in measuring cost and production
• Experience in scripting with SQL

Skills

• A/B and Multivariate testing management
• Data visualization (such as Tableau, Excel, etc)
• Ability to translate analysis results into business recommendations and insights
• Ability to present the insights clearly to technical and non-technical audiences
• Strong written, verbal communication and presentation skills

What makes a (Super!) Data Scientist in Titansoft AKA the "great to haves"

• Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation

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Singapore, Singapore | Posted on 02/19/2025

Upskills provides expert financial software consulting for investment banks and leading financial institutions in Asia Pacific, Middle East and Europe region. With a strong front-to-back expertise in cash and derivatives markets, coupled with in-depth knowledge of financial markets technologies, we provide smart, business-wise, and efficient solutions. We are seeking a highly motivated Data Scientist to help discover information hidden in vast amounts of data to make smarter decisions that would assist our banking clients. You will apply data mining techniques, perform statistical analysis, and build high-quality prediction systems integrated with our products. Responsibilities include automating scoring using machine learning techniques, building recommendation systems, and developing internal A/B testing procedures for sales campaigns.

Responsibilities

• Work with Data Scientists and product management to implement data-driven features/products.
• Apply architecture and system design theories and principles, performing complex research, design, and development of new or existing products, tools, and processes required for the operation, maintenance, and testing of products.
• Create data tools for analytics and data science team members to assist in building and optimizing our product into an innovative industry leader.
• Experiment with anomaly detection models.
• Be a key contributor in the engineering of distributed systems, frameworks, and design patterns of Data Science/Machine Learning.
• Use Scala, Java, or Python to utilize Hadoop/Spark for collecting and analyzing large-scale datasets in batch and real-time.
• Build, monitor, and maintain data ETL pipelines.

Requirements

• Master's or Bachelor's Degree in Data Analytics, Machine Learning, Computer Science, or a quantitative discipline.
• Experience in data collection, preprocessing, and analysis of structured and unstructured data.
• Proficient in programming languages such as Python and R.
• Experience with data visualization tools such as Tableau, Qlikview, GGPlot, etc.
• Good applied statistics skills, including distributions, statistical testing, and regression.
• Knowledge of financial products and processes in the capital markets industry is a strong plus.
• Experience with Big Data architecture and tools in the landscape.
• Strong theoretical foundation in statistics and advanced machine learning concepts.
• Experience in the development of NLP-based deep learning models and recommendation models.

Skill Set

Data Scientist, NLP, LLM, Python, Java, SQL, Capital Markets, Treasury, Deep Learning, Anomaly Detection, Murex.

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You will be a professional with a Technology or/and **Retail industry background** , proficient in **Agile Methodology** with a good understanding of Digital Technologies, including but not limited to Data Analytics, Business Intelligence, Data Insights Engineering, Data Warehousing, and Data Science.
In this role you will be a domain expert, manage data and insights as a product, partnering with data product managers, data engineers and other DT team members to deliver data products, such as dashboards, ML applications and much more to ease the business stakeholders for making crucial business decisions.
**Data** **Scientist**
**_How You Will Make a Difference:_**
**Strategic Problem Solving**
+ Understand the "big picture" context of VF's business and analyze data with a business-first mindset.
+ Translate complex business challenges into structured analytical plans.
+ Apply practical and creative thinking to craft effective, scalable solutions.
**Product Management and Partnership**
+ Identify internal and external collaborators to curate data assets and produce actionable insights.
+ Build strong relationships with business stakeholders to understand problems and co-create analytical solutions.
+ Confidently communicate insights and recommendations to executive audiences.
**Product Design and Development**
+ Collaborate with data engineers and product managers to instrument, acquire, and structure data assets critical to measuring the success of data products.
+ Design and implement scalable data science solutions that align with product roadmaps and business goals.
+ Be a Data Champion and Evangelist
+ Promote a data-driven culture by hosting learning sessions, exploring new tools, and improving team processes.
+ Embrace an experimentation mindset-focus on outcomes, iterate quickly, and validate solutions through testing.
**_How you will do it:_**
+ Define the optimization problem, specify requirements and investigate options (models & optimization algorithms) for solving the problem and create an analytical plan
+ Use business thinking, engineering skills, statistical techniques, and data science practices - such as experimentation, forecasting, clustering, etc. - to wrangle data and deliver relevant and trustworthy insights.
+ Generate insights (e.g., performance metrices and much more) to accelerate business growth and formulate comfortably and confidently to executive audience
+ Contribute to the innovation through advanced algorithms by identifying gain in efficiency in the business processes that aligns with related product roadmap.
+ Communicate and coordinate effectively with the Development Team
**_What Success Looks Like:_**
+ Deep understanding of VF's data landscape and business priorities
+ Delivery of impactful data products and insights that drive decision-making
+ Strong partnerships with business units and external partners to foster innovation and digital transformation
**Free to Be, Inclusion & Diversity**
As a purpose-led, performance driven company, we strive to foster a culture of belonging based on respect, connection, openness, and authenticity. We are committed to building and maintaining a workplace that celebrates the diversity of our associates, allowing them to bring their authentic selves to work every day.
**_Skills for Success:_**
+ Minimum 3+ years of experience in data science or advanced analytics roles
+ Proven experience applying ML techniques in supply chain domains, such as:
+ Production forecasting
+ Logistics and route optimization
+ Supplier performance analysis
+ Experience working in cross-functional teams with product managers, engineers, and business stakeholders
+ Educational position requirements: A formal education and subsequent undergraduate/graduate degrees in data science, statistics, applied mathematics, analytics or a related field, are nice to have, but we are most interested in your total experience and professional achievements.
**_What we expect you already know:_**
+ Proficient in common analytical programming languages (e.g. Python or R) and SQL.
+ Strong understanding of statistical and machine learning methods such as experiment design, causal inference, quasi-experimental methods, common ML models, recommendation systems, etc.
+ Familiar with end-to-end data product development, including data model design, quality review, deployment, and maintenance in cloud environment.
+ Proficient in telling data stories in a wide range of formats, including slides, charts, and dashboards (e.g. Tableau, PowerBI), and can coherently articulate the business impact of your insights.
+ Able to plan projects in agile methodology and in detail, set schedules, coordinate resources across product, data, and engineering teams, complete projects end-to-end, and make sure timelines and quality expectations are met.
+ Business acumen preferably in the domain of Product Supply or/and Supply Chain.
+ Front end customer experience design skills are a plus.
+ Affirmative in opinion and decisive in actions.
+ Integrity and courageousness - Dare to say "No" for the Company's best interests when needed.
+ Empathy - Sensitive and communicative in a multiple stakeholders' situation.
+ Open-minded to ideas and inclusiveness.
+ End-to-end mindset.
**_What we will teach you:_**
+ Strong knowledge of digital platforms across the region and the globe.
+ Advanced Agile product management and development lifecycle specific to the product supply industry.
+ Comprehensive understanding of global supply chain technology trends and emerging digital solutions.
**_VF Guiding Principles_** : Live with Integrity, Act Courageously, Be Curious, Act with Empathy, and Persevere.
**What's In It for You**
We're in the business of unleashing human potential, driven by the ideas, energy and commitment of our people. That's why we offer comprehensive benefits that encourage mental, physical and financial well-being for all VF associates. When it comes to benefits, we're the total package. Go to MyVFBenefits.com and click on "Looking to Join VF?" to learn more.
**Our Parent Company, VF Corporation**
VF is one of the world's largest apparel, footwear and accessories companies connecting people to the lifestyles, activities and experiences they cherish through our family of iconic outdoor, active and workwear brands. At the heart of our journey lies our company-wide purpose: We power movements of sustainable and active lifestyles for the betterment of people and our planet. This is our purpose. It's the reason we come to work every day. It's a commitment shared by our global associates across all brands. Our purpose unites us and leads us to pursue our goals, together. This is our calling. Learn more at vfc.com.
**We just have one question. Are you in?**
R-20250711-0004
VF Diversity Vision Statement
VF is committed to creating an inclusive environment that welcomes and values the differences among all of our associates, customers, suppliers and the communities in which we live and conduct business. The continued success and growth of VF is enhanced through initiatives that promote diversity throughout VF around the world.VF is an equal employment opportunity/ affirmative action employer of minorities, females, protected veterans and the disabled. VF is committed to providing equal opportunities in employment, and treating our VF associates and VF applicants without discrimination on the basis of their race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, protected veteran status, HIV/AIDS status, or any other legally protected factor.

Your Job
We are looking for a Data Scientist with strong experience applying advanced analytics in complex engineering or production environments. This role involves close collaboration with technical and business teams to develop predictive and prescriptive models that drive operational efficiencies and scalable outcomes.
Key Responsibilities

• Work closely with Lead Data Scientists and stakeholders to understand domain-specific challenges and translate them into data-driven solutions.
• Partner with cross-functional data and infrastructure teams to build reliable and scalable data pipelines for analytics deployment.
• Conduct exploratory data analysis and create actionable insights through effective data visualization.
• Apply machine learning or statistical techniques-such as forecasting, optimization, segmentation, and deep learning-to solve real-world operational problems.
• Tune and validate models for robustness, and support their deployment into production environments with engineering teams.
• Monitor and refine deployed models to ensure long-term performance and reliability.
• Contribute to the growth of analytics capabilities across teams by sharing methodologies and emerging best practices.
• Communicate the impact of analytics initiatives to senior stakeholders and technical audiences, supporting adoption and business alignment.

Required Qualifications

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Physics, Data Science, or similar.
• Minimum 4 years of experience in the analytics space, ideally with exposure to high-throughput or operationally intensive environments .
• Demonstrated proficiency in:
  Forecasting, Recommendation Systems, Optimization, Churn Analysis, Segmentation, Deep Learning
  Languages/tools like Python, R, SAS, or SPSS
  Data visualization and storytelling techniques
• Experience working with large datasets and deploying models at scale, preferably in cloud-based environments.
• Strong communication skills to collaborate across functions and explain technical outcomes to business users.
• Agile, product-focused mindset with the ability to drive initiatives end-to-end.
• Ability to thrive in fast-paced settings and navigate ambiguity with a problem-solving approach.

About NetEase Games:

As a leading internet technology company based in China, NetEase, Inc. (NASDAQ: NTES and HKEX:999, "NetEase") provides premium online services centered around content creation. With extensive offerings across its expanding gaming ecosystem, the Company develops and operates some of China's most popular and longest-running mobile and PC games. Powered by industry-leading in-house R&D capabilities in China and globally, NetEase creates superior gaming experiences, inspires players, and passionately delivers value for its thriving community worldwide. By infusing play with culture and education with technology, NetEase transforms gaming into a meaningful vehicle to build a more entertaining and enlightened world.

NetEase's ESG initiatives are among the best in the global media and entertainment industry, earning it a distinction as one of the S&P Global Industry Movers and an "A" rating from MSCI. For more information, please visit: Responsibilities:

• Utilize quantitative and modeling analysis methods to analyze and optimize game-related products, providing data interpretation and strategic recommendations to support business decision-making and help develop actionable strategies.

• Participate in A/B test design and analysis, user behavior tracking and retention analysis, as well as marketing campaign performance evaluation, offering systematic data capabilities and in-depth analytical insights.

• Continuously explore the application of cutting-edge machine learning algorithms (e.g., recommendation systems, graph neural networks, reinforcement learning, etc.) in gaming scenarios such as recommendation, social features, and matchmaking system optimization.

Qualifications:

• Master's or Ph.D. student in data mining, information retrieval, recommendation systems, or related fields.

• Strong programming skills with proficiency in Python, SQL, and shell scripting; expertise in PyTorch, TensorFlow, and other common neural network frameworks; solid understanding of commonly used machine learning methods.

• Sensitive to core performance metrics, with great communication and teamwork skills; high sense of responsibility, and ability to proactively drive project execution.

• Passionate about games and fluency in Chinese as working partners and stakeholders are from China.

• Candidates with publications in top conferences (e.g., ACL, NAACL, EMNLP, AAAI, NeurIPS, KDD, IJCAI, SIGIR) or with relevant competition experience are preferred.

Who Are We Looking For:

We are seeking an experienced Data Scientist (Senior) to join our team. You will spend a short period embedded within our client's organization but your primary focus will be on applying and evaluating synthetic data solutions against both client-specific use cases and open benchmarks such as Kaggle datasets.

Key Responsibilities:

Client facing Synthetic Data Solutions

• Embed briefly onsite with the client's data science, risk, or compliance teams to gather requirements, map data sources, and align on use cases.
• Design and operationalize end-to-end synthetic data pipelines for client datasets from ingestion, training, generation to evaluation.
• Implement privacy-by-design techniques (differential privacy, k-anonymity) and ensure compliance with privacy regulations (GDPR, CCPA, PDPA).
• Deliver hands-on workshops and training for client teams on integrating synthetic data into their analytics and ML workflows.
• Manage client engagements, ensuring deliverables, timelines, and satisfaction metrics are met.
• Drive adoption of synthetic data methodologies by showcasing benchmark successes and business impact.

Benchmarking & Model Evaluation

• Apply and benchmark synthetic data generators on public datasets.
• Develop evaluation frameworks and dashboards to measure fidelity, utility, privacy risk and downstream task performance across multiple benchmarks.
• Iterate on model selection and configuration, fine-tuning generators (GANs, VAEs, diffusion) and pipelines to maximize performance on both client data and open challenges.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Software Engineering, Data Science or a related quantitative discipline.
• 5+ years in data science or analytics roles, with at least 2 years embedded in client environments or professional services.
• Experience with machine learning frameworks (PyTorch, DP-SGD) for privacy-preserving ML applications
• Deep knowledge of generative modelling (GANs, VAEs, diffusion) and privacy-enhancing techniques.
• Strong domain familiarity with financial datasets (transactional, risk, regulatory).

Benefits:

• Flexible time-off arrangements
• Flexible work arrangements - work from office at One North or WFH on some days
• Equity eligibility: Competitive equity packages, with grant size evaluated based on the candidate's experience, skills, and impact.

How to apply:

Does this role sound like a good fit to you?

• We see this first: Submit your application here
• We see this last: If the above does not work, you may email us your CV (pdf format) at the title of the role in your subject
  Indicate your available start - end dates (DDMMYY - DDMMYY)
  Send along links/supporting information that best showcase the relevant things you have built and done

Job Summary:
We are seeking a highly skilled and driven Data Scientist to join our team. The ideal candidate will possess strong data analytics capabilities with hands-on experience in SQL, Python, Power BI, and cloud computing (AWS). The role involves model training and deployment, as well as the application of modern LLM techniques such as prompt engineering and Retrieval-Augmented Generation (RAG) to drive business and product insights.
Key Responsibilities:

• Analyze large-scale data using SQL and Python to derive actionable insights.
• Design and implement dashboards using Power BI for real-time monitoring and decision-making.
• Build, train, and deploy machine learning models to improve business operations and project outcomes.
• Collaborate with cross-functional teams to implement AI-powered solutions including RAG pipelines and prompt engineering for LLMs.
• Work on AWS platform to manage data workflows and deploy scalable models.
• Contribute to high-quality supervised fine-tuning data collection for LLMs.
• Communicate complex analyses and findings clearly to both technical and non-technical stakeholders.

Requirements:

• Bachelor's or Master's degree in a relevant field (e.g., Data Science, Analytics, Computer Science).
• Proficient in SQL, Python, Power BI, AWS, Model Training, Model Deployment, RAG, Prompt Engineering
• At least 3 years of relevant experience in data visualization tools such as Power BI or Tableau.
• Hands-on experience with AWS services and/or Microsoft Azure.
• Strong foundation in ML model training and deployment processes.
• Experience with large language models (LLMs), prompt engineering, and RAG applications.
• Strong communication and project management skills.