331 Data Scientist jobs in Singapore

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.

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

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

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.

• 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.

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.

• 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!

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.

Big data, artificial intelligence and advanced analytics are transforming the insurance industry across the value chain. Munich Re is at the forefront of this trend, having made a significant investment in start-of-the-art analytics infrastructure and software, central and regional analytics centres of competence and several successful analytics initiatives with its clients worldwide.

Munich Re has experienced exponential growth in demand for analytics pilots from its clients in life, non-life and health. An exciting opportunity exists for a data scientist with advanced analytics skills to join Munich Re's regional analytics centre (RAC) of competence located in Singapore. The RAC supports Munich Re's Asia-Pacific (including China and Australia), Middle East and Africa business life and health business region. As such you will work in an agile and innovative area, gaining exposure to a wide variety of business problems, other teams of Munich Re, clients and geographies.

Using advanced analytics methods to derive actionable insights from existing and new sources of data, the role will contribute towards new services and business models. Predictive analytics applications will span the entire insurance value chain from transforming the customer experience during underwriting, cross-selling, pricing and experience analysis, lapse prevention through to claims management decisions. In this position you will cooperate closely with our clients, actuaries, underwriters, client managers, the IT department, other analytics teams worldwide including at our head office in Munich.

You will apply Machine Learning (ML) and Deep Learning (DL) methods to interpret all types of data (structured, unstructured, images, etc.) and build solutions to and solve real problems our clients are facing today.

You will play a leading role in the execution of the full modeling cycle, including the integration of data, selection and application of predictive modeling techniques, model validation and deployment, and engagement with clients on results. As we continue to innovate and advance our capabilities, this role will also leverage Generative AI (Gen AI) technologies to further enhance our predictive analytics and machine learning initiatives. This will involve exploring the application of Gen AI in areas such underwriting and claims. By combining traditional analytics with the latest advancements in Gen AI, we aim to unlock new levels of business value, elevate customer experience, create efficiency gains for domain experts and stay at the forefront of the rapidly evolving analytics landscape.

Your Role

• The opportunity to be a data scientist in a vibrant, leading global reinsurance company with diverse data to enable innovative data analytics
• Develop insurance business solutions based upon insight discovered from data
• Active participation and management of projects in the fields of statistics, ML and DL
• Development and implementation of solutions that enable operational units to increase quantity and quality of new business
• Supporting and advising the business units in applying the latest research methods and providing a central source for specialized know-how, tools and techniques for data analytics
• Presentation of statistical, ML and DL solutions to internal and external stakeholders
• Networking with already existing data-intensive units in the area of analysis and reporting, as well as with IT to form an analytics community.
• Collaborate with internal partners in Life and Health and the data analytics centre in Munich to leverage capabilities in big data technology
  Opportunities to lead and deploy GenAI projects across insurance value chain

Your Profile

• Preference for Master's or Ph.D. in data science / advanced data analytics but other fields will be considered including statistics, applied mathematics, information technology, engineering, computer science, or a comparable discipline.

Experience:

• Proven experience managing analytics projects end to end
• Very good theoretical knowledge of AI, ML and DL methods
• Hands-on coding in R, Python, SQL (e.g. ETL), etc.
• Experienced in carrying out exploratory data analysis, model development and visualization in Jupyter Notebooks (Python and R) & Databricks
• MUST have demonstrable experience in coding and applying traditional regressions (e.g. GLMs), ML (decision trees, random forest, boosted trees, etc.), natural language processing, DL
• Experience in Gen AI uses cases around information retrieval , summarisation & inference
• and in understanding of LLMs and its applications will be an added advantage
• Hands on experience coding front end, back end, API integrations. Full stack developer experience is an advantage
• Visualization in Power BI, , Dash, JavaScript, etc. is an advantage
• Working on data science virtual machines on the cloud (Azure, AWS, etc.)
• Understanding of RESTful APIs and microservices is an advantage
• Demonstrable Kaggle / Git / analytics blogs and repos are an advantage
• Experience in insurance/reinsurance industry would be an advantage and specifically on the topics of underwriting and claims automation and fraud detection
• Ability to deliver under short but reasonable timelines
• Cappacity for innovation, entrepreneurial mindset, forward-looking, enjoy working in a team

Stakeholder management:

• Working with multiple stakeholders across the analytics lifecycle

• Strong communication in:

• Documenting analytics results (e.g. MSWord, PowerPoint, Notebooks, etc.)

• Verbally explaining analytics concepts and results to non-technical audiences and domain experts and translating analytics results into business solutions

Our Benefits

• Flexible and hybrid working arrangement
• Generous annual leave allowance
• Comprehensive dental, life and health insurance coverage

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the center of this interaction is each of us

At Iress, we make things happen

We believe technology should help people perform better every day. Since our beginning in 1993, people across financial services have trusted us to take their performance to the next level. More than 10,000 businesses and 500,000 people use our software, from the world's most iconic financial services brands to advice firms of all sizes, banks, insurers, investment managers, traders and brokers. Iress is one of Australia's largest technology companies and employs more than 1,100 people across Australia, The United Kingdom, Africa, Canada, New Zealand and Asia.

Build your career at Iress

We are seeking a highly skilled and motivated Data Scientist to join our team at Iress. As a Data Scientist, you will be responsible for transforming complex data sets into actionable insights and providing data-driven solutions to drive business growth and innovation. Your expertise in statistical analysis, data visualisation and AI/ML (artificial intelligence and machine learning) will be used in extracting and communicating knowledge from large and diverse datasets. Specifically, your focus will be to help develop new products within the innovation team to ultimately bring innovative new concepts to market. Join our team and be part of a collaborative environment where you can contribute to the growth and success of Iress while further advancing your career in the exciting field of data science and AI/ML.

Some of the amazing things you'll be involved in

• Data exploration and preparation - collecting and processing datasets from various sources. Identifying patterns and trends to formulate research questions.
• Statistical analysis: Applying statistical techniques and hypothesis testing to derive insights from data. Developing predictive models and classification algorithms to solve business problems.
• R+D: experimenting with with AI / Ml model models that serve to offer speed of insight across datasets, make predictions and automate complex tasks
• Artificial intelligence and machine learning development: utilising algorithms and ML methodologies to build models for tasks such as classification, clustering, regression, recommendation systems etc.
• Creating and extending ML frameworks and libraries to enable future problems to be solved more efficiently.
• Collaborating across the business: Collaborating with engineers, product managers and business analysts from the innovations team as well as the business units to ensure data science work is in alignment with the organisational goal.
• Keeping abreast of developments in the field: Staying updated with the latest trends, tools, and techniques in data science, machine learning, and artificial intelligence.

What you will bring

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. A Ph.D. is a plus.
• At least 3-Year's experience as a data scientist, quantitative analyst or similar role. Experience in the financial services industry is necessary.
• Solid understanding of statistical concepts and methodologies, hypothesis testing, and experimental design.
• Proficiency in data visualisation tools such as Tableau, quicksight, Power BI, QlikView, Plotly or Microsoft Excel.
• Ability to write robust code in Python, R or Java along with experience in data manipulation and analysis using libraries like pandas, NumPy, and SciPy.
• Proficiency in utilising Databricks and AWS platforms is highly valued
• Knowledge of machine learning techniques - supervised and unsupervised learning, reinforcement learning, neural networks, and deep learning architectures.
• Familiarity with machine learning frameworks and libraries - Tensorflow, Keras, PyTorch, or scikit-learn.

Why work with us?

• 8 additional paid days per year to extend your weekends
• Hybrid working
• Generous cash bonus for every successful referral
• Starting school leave - 8.5 days of leave to assist your children with the transition to school
• Up to 26 weeks' paid parental leave for primary carers (up to 4 weeks for secondary carers), and the ability to work part-time when returning to work
• 3 days' paid leave per year to participate in charity initiatives
• Discounted health insurance premiums
• Access to learning and development programs through LinkedIn Learning

Iress is committed to fostering a welcoming and inclusive culture. We strongly believe that diversity is what makes our teams and our products succeed. Our people have different experiences, skills, perspectives and beliefs and everyone's uniqueness is valued and celebrated.

Our hiring decisions are never based on sexual orientation, race, gender identity, religion, disability, citizenship, marital or family status and age. Even if you feel you don't meet all of the requirements of the role, we would still like to hear from you

We're also proud to be globally recognised as a WORK180 Endorsed Employer that promotes and supports all women in the workplace.

For more information about what we do, our people and values, please visit our website -

Contractor

Full time

AI Solution Development

• Conduct exploratory data analysis to extract insights and patterns that inform AI model design and development

• Perform data cleaning, validation, and transformation (feature engineering) required by AI models

• Design, develop, and evaluate AI models to address specific business needs

AI Deployment and Operations

• Deploy AI models into production environments, ensuring scalability, reliability, and performance

• Implement and maintain model monitoring systems to track performance metrics and identify when models require retraining or adjustment.

• Maintain reusable central feature store for AI model training and deployment

• Implement automated pipelines for model training, validation, and deployment, adopting fit-for-purpose industry practices

Stakeholder Engagement

• Collaborate with cross-functional teams (e.g. data engineers, IT consultants, business users) to achieve project outcome

• Present outputs from business analyses to HPB stakeholders, to translate data-driven insights into programme design and delivery

• Minimum 3 years of working experience in data science or developing AI/ML, including experience wrangling data in cloud-based analytics platforms and tools (e.g. Microsoft Azure, Databricks, Spark Ecosystems)

• Must be proficient in Python and possess adeptness with large-scale datasets.

• Bachelor / Master / PhD in Analytics, AI / Data Science, Computer Science, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognised university.

o 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

• 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

• Provide guidance on how to improve the performance/accuracy of the use cases built
• Will have to be familiar with NLP methods (not using LLM for time being)
• Person will have to be onsite at customer's premises as the workstation used is not connected to internet
• The models used today is OpenWhisper Large, between 2.0 and 3.0 –
• Needs to be familiar with
• Voice-to-Text accuracy;
• Material Language error reduction
• Diarylation improvement

Position Overview

The Data Scientist is responsible for discovering the information hidden in vast amounts of data and supporting the business in making smarter decisions thereby driving significant business efficiencies. The primary focus will be in applying data mining techniques, doing statistical analysis, building high quality prediction systems and collaborating with key business stakeholders to optimize and streamline reporting and metrics, and implement solutions to create better business value.

KEY DUTIES/RESPONSIBILITIES

• Work on the process of translating technical objectives into defined problems that can be solved by applying data science.

• Design algorithms to address current technical problems.

• Work closely with COE Team members to apply advanced analytics, modelling and simulation to replicate and anticipate issues.

• Uncover new technical problems that need to be solved and support better decision-making.

• Communicate data analysis and insights using rich visualization tools (e.g. Tableau; MicroStrategy; R; Power BI) and leverage data to present compelling cases to optimize solutions.

• Perform exploratory data analysis, generate and test working hypothesis, and uncover important trends and relationships.

• Provide expertise on mathematical concepts and inspire adoption of advanced analytics.

EDUCATIONAL REQUIREMENTS

• A recognised Degree in Applied Statistics, Maths or a related quantitative discipline.
• Master's Degree in applied statistics, applied maths, or related quantitative discipline preferred.

PREVIOUS WORK EXPERIENCE & SKILLS

• Minimum of 2 years of relevant experience
• Experience with relational databases, information and insights.
• Experience with modelling software, data mining techniques and methodologies.
• Experience with visualization software (Tableau, MicroStrategy).
• Experience leveraging cloud platforms and developing in SQL.
• Superior critical thinking, analytical and problem-solving skills.
• Passionate, creative and forward-thinking individual.

COMMUNICATION COMPLEXETIES

• Must be able to communicate complex solutions to nontechnical stakeholders in a way that can easily be understood. Data-science software tools can help visualize findings, but strong verbal communication skills are required to tell the story clearly.
• Work closely with Centre Of Excellence team members to apply advanced analytics, modelling and simulation to replicate current issues and develop solutions.
• Communicate data analysis and insights using rich visualization tools
• Able to inspire adoption of advanced analytics through effectively communicating the benefits.

CULTURAL DIVERSITY

• Establish a worldwide network of contacts within the Company with broad culture diversity.
• Ability to work within multi-cultural organisation and to leverage diversity.

Skills

Structured Query Language (SQL); Tableau (Software); Data Science; Data Mining; Data Analysis

Our Purpose and Growth Culture:

We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision

to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.