1,258 Senior Data Scientist jobs in Singapore

**RESPONSIBILITY**
- Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects.
- Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalization, industry proliferation, to product end-of-life.
- Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry.
- Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.
- Participate in agile secure software development processes and best practices,documentation of user requirements and software codes during the software development lifecycle.
- Transfer technology to industry partners.
- Technical engagement and collaboration with research institutes and institutes of higher learning.
**EXPERIENCE AND SKILLS NEEDED**
- Strong technical knowledge in AI, specifically in Computer Vision (CV), Natural Language Processing (NLP), recommendation system and/or Synthetic AI.
- Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IOT devices.
- Proficient in building machine learning models to identify, recognise patterns and make predictions.
- Strong coding experience in programming languages such as Python, C++.
- Hands-on experience with one or more deep learning frameworks, e.g.,TensorFlow, Torch.
- Experience in model deployment.
- Experience in stakeholder management.
- Experience in agile project management.
#LI-CTSAPAC
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

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-
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.

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.

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About The Company

RP International Consulting Singapore is a leading global consultancy specializing in technology, digital transformation, and innovative solutions. With a strong presence in the Asia-Pacific region, we partner with top-tier organizations to deliver cutting‑edge strategies and services. Our mission is to empower businesses with advanced technologies, including AI, machine learning, and data‑driven insights, to drive sustainable growth and success.

Job Responsibilities

• Develop, implement, and optimize machine learning models, with a focus on large language models (LLMs) and retrieval‑augmented generation (RAG) techniques.
• Collaborate with cross‑functional teams to design and deploy AI‑driven solutions tailored to client needs.
• Analyze complex datasets to extract actionable insights and support data‑driven decision‑making processes.
• Research and stay updated on the latest advancements in AI, machine learning, and natural language processing (NLP).
• Build and maintain scalable data pipelines and infrastructure to support machine learning workflows.
• Evaluate and fine‑tune model performance using appropriate metrics and validation techniques.
• Document processes, methodologies, and results to ensure transparency and reproducibility.
• Provide technical mentorship and guidance to junior team members and stakeholders.
• Work closely with clients to understand their business challenges and translate them into AI/ML solutions.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. PhD is a plus.
• Proven experience in developing and deploying machine learning models, particularly in the areas of LLMs and RAG.
• Strong programming skills in Python and proficiency with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Solid understanding of natural language processing (NLP) techniques and tools.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
• Proficiency in working with large datasets and data processing tools such as Spark, Hadoop, or similar.
• Strong problem‑solving skills and the ability to work independently as well as collaboratively in a team environment.
• Excellent communication skills, with the ability to explain complex technical concepts to non‑technical stakeholders.
• A passion for innovation and a strong desire to stay at the forefront of AI and machine learning advancements.

Job Benefits

• Competitive salary and performance‑based bonuses.
• Comprehensive health and wellness benefits, including medical, dental, and vision coverage.
• Opportunities for professional development and continuous learning, including certifications and training programs.
• Flexible work arrangements, including remote work options.
• Collaborative and inclusive work environment with a focus on innovation and creativity.
• Access to cutting‑edge tools and technologies to support your work.
• Generous paid time off and vacation policies to promote work‑life balance.
• Employee recognition programs and career advancement opportunities.
• Participation in impactful projects with global clients and industry leaders.

Seniority Level

Not Applicable

Employment Type

Full‑time

Job Function

Information Technology

Industries

Technology, Information and Media

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Our client is a global systematic hedge fund who is driven by a passion for data and collaboration, building scalable, reliable, and efficient solutions that power predictive modelling in finance. As part of a small, dedicated group, this role is critical in maintaining and advancing the firm’s research infrastructure and supporting live trading operations across global markets, including equities, futures, options, and other financial instruments.

Job Responsibilities:

• Source, evaluate, and manage new datasets, including vendor engagement and data quality assessment.
• Build and maintain tools and processes for efficient data ingestion, tagging, cleaning, and automation.
• Analyze datasets to uncover insights and potential alpha signals for Portfolio Managers.

Desirable Candidates:

• Ph.D./Masters in computer science, mathematics, physics, statistics or another disciplines involving quantitative analysis
• At least 1 year of experience as a Data Scientist, Data Analyst
• Experience working with large data sets, including classification, regression, distribution analysis, and predictive modelling
• Experience applying statistical tests to large data sets
• Programming skills in SQL and Python

If you are interested in this opportunity, please ‘Apply Now’ or email your CV to Referrals are greatly appreciated.

Regrettably, only shortlisted candidates will be notified.

Please note that data provided is for recruitment purposes only.

Business Registration No.: R | License. No. - 20S0118 | EA Registration No. - R

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Responsibilities

• Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects.
• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life.
• Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry.
• Technical engagement and collaboration with research institutes and institutes of higher learning.
• Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.
• Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle.
• Transfer technology to industry partners.

Requirement

• Bachelor’s degree in information technology, Computer Science, or a related field.
• Minimum of 5 years of hands-on experience in data science, machine learning, or AI solution development.
• Solid knowledge in AI, specifically in Computer Vision (CV), Natural Language Processing (NLP), recommendation system and/or Synthetic AI.
• Strong programming and modelling experience using Python, TensorFlow, PyTorch.
• Knowledge of AI for production, including deployment on mobile or IoT devices.
• Proven experience in research collaboration, publication, or AI technology transfer.
• Excellent communication, presentation, and stakeholder management skills.

Beyondsoft International (Singapore) Pte. Ltd is committed to being an equal opportunity employer and provides equal employment opportunities to all employees and applicants. We strive to cultivate a workplace that celebrates diversity and inclusion, where individuals of all backgrounds—regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, or any other distinguishing trait—can succeed and thrive. We prohibit discrimination and harassment of any type with regard to race, color, religion, age, national origin, disability status, genetics, sexual orientation, gender identity, or expression. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the entire employee lifecycle. We are focused on creating an environment where everyone can reach their full potentetl.

Employment offers from Beyondsoft International (Singapore) Pte. Ltd. are contingent upon the successful completion of any required pre-employment processes, in line with applicable laws and regulations. Beyondsoft International (Singapore) Pte. Ltd. does not ask for any recruitment fees, nor does it request any unauthorized payments from candidates as part of the hiring process.

Seniority level

• Executive

Employment type

• Full-time

Job function

• Information Technology

Industries

• IT Services and IT Consulting

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Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are seeking for Data Scientist Position

Job Type: 1 year renewable contract with our client (payroll Avensys)

Yrs of Exp: 5-8 years of relevant experience

Job Description:

• Bachelor / Master / PhD in Analytics, AI / Data Science, Computer Science, Computer Engineering or Information Systems with major in business analytics and / or data science from a recognized university
• Professional certifications in business analytics / data science / ML engineering from accredited professional bodies coupled with a few years of related working experience for graduates from other disciplines, are also acceptable for the position
• 5+ years of experience as Data scientist
• Minimum 1 year of experience in AI governance (i.e. testing Gen AI / ML models for bias, fairness, robustness, and compliance to regulations and standards) is Mandatory and at least 1 year in AI/ML implementation
• Adaptive in a fast-paced matrix environment, overseeing multiple projects concurrently within an agile environment
• Possesses strong problem resolution, attention to detail and effective communication skills to manage and deliver complex projects involving internal and external stakeholders
• Strong understanding of AI technologies, frameworks, and their practical applications in business contexts
• Knowledge of current AI regulations and industry best practices for responsible AI implementation is an advantage

WHAT’S ON OFFER:

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to . Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS:

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology
• IT Services and IT Consulting

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Cobalt Finance builds institutional-grade blockchain intelligence products, empowering the world’s leading institutional investors, protocols, and companies through a proprietary database, research call marketplace, and computational analysis. Headquartered in Singapore and incubated by former Coinbase CTO Balaji Srinivasan's Network State, Cobalt Finance delivers qualitative and quantitative alpha from C‑suite executives and core developers spanning influential protocols and companies, such as Bitcoin, Ethereum, Solana, Coinbase, Hyperliquid, Binance, and Tether.

Role Description

This is a full‑time remote role for a Data Scientist. You will be responsible for driving analytical insights and data‑driven decision‑making, building and managing a high‑performing data science team, developing analytics strategies and frameworks, and delivering actionable intelligence to institutional clients. The Data Science Lead will work closely with product, engineering, and leadership teams to identify analytical opportunities, establish best practices for data science workflows, and scale our analytics capabilities in the blockchain intelligence space.

What you’ll do

• Build and lead our data science organization, establishing methodologies, frameworks, and best practices for institutional‑grade analytics and insights
• Own the full analytics lifecycle from problem formulation to deployment, working with institutional investors, funds, and blockchain professionals to deliver data‑driven solutions
• Develop and execute analytics strategies for new products and market segments, translating business needs into technical requirements
• Collaborate with product and engineering teams to refine data pipelines, feature development, and model deployment strategies
• Drive measurable impact through predictive models, statistical analysis, and machine learning solutions while maintaining the rigor and interpretability our institutional clients expect

What we’re looking for

• Proven track record in applied data science, preferably delivering analytics solutions to institutional clients or enterprise customers
• Experience building and scaling data science teams and establishing ML/analytics processes from early stages
• Strong understanding of statistical methods, machine learning techniques, experimentation frameworks, and model evaluation metrics
• Excellent communication skills with ability to translate complex technical concepts for C‑level executives and decision‑makers
• Strategic thinking with the ability to identify high‑impact analytical opportunities and deliver end‑to‑end solutions
• Self‑motivated and able to thrive in a remote, fast‑paced environment
• Experience in blockchain analytics, fintech data science, or SaaS analytics platforms is a plus
• Advanced degree (Master’s or PhD) in Computer Science, Statistics, Mathematics, Econometrics or related quantitative field preferred

Why Cobalt Finance?

• High‑Impact Work: Your designs will be used by leading institutional investors and the world’s most influential blockchain protocols
• Innovation at the Frontier: Work at the intersection of institutional finance and cutting‑edge blockchain technology
• Remote‑First Culture: Work from anywhere with flexible hours and a globally distributed team
• Growth Opportunity: Shape design culture and build a world‑class design team as we scale
• Competitive Compensation: Industry‑leading salary, equity, and benefits package

Location and work arrangement

Fully remote. While we’re headquartered in Singapore, we welcome talented data scientists from around the world. Team collaboration occurs across time zones with overlapping core hours.

Referrals increase your chances of interviewing at Cobalt Finance by 2x

Get notified about new Data Scientist jobs in Singapore.

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RESPONSIBILITY

• Facilitate discussions with stakeholders to understand their business challenges, sharpen the business use cases and translate them into data science projects.
• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalization, industry proliferation, to product end-of-life.
• Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry.
• Present findings, solicit feedback and prioritise refinements to the analysis in close iteration with stakeholders while managing overall project timeline.
• Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle.
• Transfer technology to industry partners.
• Technical engagement and collaboration with research institutes and institutes of higher learning.

EXPERIENCE AND SKILLS NEEDED

• Strong technical knowledge in AI, specifically in Computer Vision (CV), Natural Language Processing (NLP), recommendation system and/or Synthetic AI.
• Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IOT devices.
• Proficient in building machine learning models to identify, recognise patterns and make predictions.
• Strong coding experience in programming languages such as Python, C++.
• Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch.
• Experience in model deployment.
• Experience in stakeholder management.
• Experience in agile project management.
• #LI-CTSAPAC

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