Explore exciting Data Scientist jobs in 214 Data Scientist jobs in Singapore
Data Scientist/Senior Data Scientist
Posted today
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Home Team Science and Technology Agency (HTX)
Permanent/Contract
Closing in 1 day(s)
What the role is
At HTX, our vision is to exponentially impact Singapore's safety and security, ensuring a safer and more resilient future for all. Our mission drives us towards force multiplying our Home Team through scientific and technological breakthroughs, and secure Singapore's future by empowering our frontlines and enhancing public safety. Joining HTX means becoming part of a dynamic team committed to these critical goals, where your work as a Data Scientist will directly contribute to these efforts. In this role, you'll have the opportunity to leverage data-driven insights to support decision-making, develop innovative solutions, and play a pivotal role in safeguarding our nation. If you're passionate about making an impact that truly matters, HTX is the place for you.
What you will be working on
We are looking for someone who is creative, curious, collaborative and enjoys challenges. If you like to design, build and deploy scalable solutions using operations research and/or AI to address complex planning problems for the Home Team, we want you Successful candidate's primary job role would be in operations research with focus in Optimization techniques, there will also be opportunity for job holder to gain exposure to other related work. We believe in upskilling our officers and exposing them to work spanning from end-to-end of the solution.
The job-holder is expected to collaborate with various teams (within HTX and across Home Teams) and is responsible for:
a. Working in a Data Science team with other stakeholders to identify, scope, develop and implement data science and AI solutions to address users' needs.
b. ing operations research techniques (mathematical programming such as linear programming, mixed integer programming and constraint programming) and/or Data Science (AI, machine learning and deep learning and data analytics) to address the diverse business needs for MHA.
c. Learning and deep diving into the above techniques through research.
d. Collaborate closely with business users to extract actionable insights from data and processes and develop data-driven & optimised solutions to meet their needs.
e. Present analytical insights to business users and stakeholders.
f. Manage large scale and complex projects which may be developed in-house or co-developed with external or consultancy agencies and/or academic institutions.
What we are looking for
a. Candidates should possess at least a bachelor's degree in a quantitative discipline: Engineering, Mathematics, Statistics or Operations Research or related disciplines.
b. Candidates must be good problem solvers with strong analytical and mathematical skills. Background in operations research, particularly knowledge in linear programming, mixed integer programming, constraint programming, evolutionary algorithm, heuristic search, statistics and data analysis is required.
c. Familiarity in mathematical programming tools such as IBM Cplex, Gurobi, OR-Tools is advantageous.
d. Experience in SQL or handling of data (merging data and data transformation) or user interface development and proficiency in programming languages such as Python, R, Java and C/C++/C# is advantageous.
Personal Characteristics & Behaviours
He / She has:
• good critical thinking, data analysis and problem-solving skills
• good written and verbal communication skills to communicate technical aspects effectively to non-technical audience
• good interpersonal and stakeholder management skills to work under tight timelines
• good working attitude and able to work effectively as part of a team
All new hires are appointed on a two-year contract in the first instance and will be assessed and considered for permanent tenure over time, based on performance.
As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.
All applicants will be updated on the status of their applications within 4 weeks upon closing of the advertisement.
About Home Team Science and Technology Agency (HTX)
HTX is the world's first Science and Technology agency that integrates a diverse range of scientific and engineering capabilities to innovate and deliver transformative and operationally-ready solutions for homeland security. As a statutory board of the Ministry of Home Affairs and integral to the Home Team, HTX works at the forefront of science and technology to empower Singapore's frontline of security. Our shared mission is to amplify, augment and accelerate the Home Team's advantage and secure Singapore as the safest place on planet earth.
About your application process
This job is closing in 1 day(s).
If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within Home Team Science and Technology Agency (HTX) or the wider Public Service.
Data Scientist
Posted 2 days ago
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Job Description
- 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.
Data Scientist
Posted 2 days ago
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Job Description
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.
Data Scientist
Posted 13 days ago
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Job Description
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.
- 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.
Data Scientist
Posted 5 days ago
Job Viewed
Job Description
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.
- 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.
Data Scientist, NLP, LLM, Python, Java, SQL, Capital Markets, Treasury, Deep Learning, Anomaly Detection, Murex.
#J-18808-LjbffrData Scientist
Posted 5 days ago
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Job Description
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 DescriptionWhat 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
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
Data Scientist
Posted 13 days ago
Job Viewed
Job Description
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.
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
- Minimum Bachelor in Mathematics, Statistics, Finance, Computer Science, Information Technology or other equivalent qualifications
- 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
- 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
- Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation
- 18 days of rest and relaxation for each year (P.S. It gets even better over the years!)
- Competitive salaries and bonuses benchmarked against big players in the industry
- Flexible working hours
- Comprehensive insurance coverage
- Wellness fund
- Very well-stocked pantry
- Communities of Practice and Workshops catered for your growth and learning
- Substantial subsidies and programs to keep that creative flow while having fun
- Hardcore work and hardcore fun!
Working at Titansoft will probably be unlike any other careers you have ever had. Discover why you should join us!
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Data Scientist
Posted today
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Position Summary:
This role serves as a data evangelist, focusing primarily on Data & ML Engineering with a robust understanding of Data Science and data analysis experience. The ideal candidate will be proficient in the Snowflake and Azure technology stacks, Qlik Visualization, DevOps processes, and ML ops processes. While knowledge of logistics is a plus, a willingness to learn the domain is essential.
Roles & Responsibility
- Build and manage Data & ML Engineering projects.
- Develop and maintain data/ML pipelines using Snowflake and Azure.
- Create and implement data visualizations using Qlik.
- Ensure seamless integration and deployment of models through DevOps and ML ops processes.
- Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
- Advocate for data-driven decision-making across the organization.
- Promote data literacy across the BU.
Qualifications
- Minimum of 3+ years of end-to-end implementation experience in data warehouse and data management projects. Freshers from reputed institues in the field of data science with quick grasping knowledge will be considered.
- Extensive hands-on experience architecting and delivering solutions on the Azure Data platform, Snowflake, SnowPark, ML Ops and DevOps
- Logistics, and Transportation domain experience, as well as its associated data standards, is preferred.
- Agile/DAMA/Azure certification is a plus
- Experience in engaging both technical and non-technical stakeholders with a proactive and positive attitude.
- Strong personal effectiveness as a team player, change agent and demonstrated perseverance to drive and achieve desired outcomes.
- Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
- Strong communications skills.
Data Scientist
Posted today
Job Viewed
Job Description
*WHO WE ARE: *
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
About the job
Who We Are
As Singapore's longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.
Today, we're on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia's leading financial services partner for a sustainable future.
We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.
Your Opportunity Starts Here.
Role Summary
As part of the Group Data Office, you will play a pivotal role in driving AI innovation across the OCBC Group. You will work with vast volumes of structured and unstructured data to solve high-impact business problems, with a strong focus on generative AI applications.
In this role, you will:
- Collaborate closely with business units to understand their challenges and translate them into AI and ML solutions, particularly in the areas of conversational bots and content generation.
- Lead the development and deployment of generative AI applications that support monetisation initiatives across the bank.
- Build and operationalise Retrieval-Augmented Generation (RAG) pipelines and agentic AI workflows to enhance decision-making, automate complex tasks, and improve user experiences.
- Partner with the Business Units trading team to identify opportunities for workflow automation, enabling traders to focus on higher-value, revenue-generating activities.
- Assess, build, and operationalise AI solutions that are scalable, secure, and aligned with business objectives.
Specific Knowledge
Ideally with a Master or PhD degree in Statistics, Mathematics, Computer Science, Software Engineering or other quantitative field with more than 3 years of relevant work experience.
Solid understanding of software engineering design patterns and best practices.
Proficient in writing clear and effective Python code and model documentation.
Hands-on experience, building and deploying AI model pipelines into production.
Familiarity with model deployment via RESTful APIs with tools such as FastAPI and Ray Serve.
Experience with SQL and big data technologies such as Hadoop, Trino, and Spark.
Experience with chatbots and Elasticsearch is a plus.
Some experience in the use of CI/CD and DevOps tools such as Jira, Jenkins, GIT/Bitbucket.
Have a passion for AI and ML, and want to learn more everyday
Communication & Soft Skills
Ability to execute in a fast-paced environment.
Creativity to see possibilities within the data & translate into compelling stories, decisions, and actions for non-technical business users.
Strong communication skills and drive to deliver business benefits in the real-world.
Genuine drive to learn and master new technologies and techniques.
What We Offer
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
*What we offer: *
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
Data Scientist
Posted today
Job Viewed
Job Description
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, 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.
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
Postgraduate or Ph.D. Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent.
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.