942 Lead Data Scientist jobs in Singapore

Get to Know the Team

Our data science team works on developing cutting-edge algorithms for data mining, machine learning, and language applications. Each team member helps enhance user experiences and optimise platform efficiency to solve complex business challenges.

Get to Know the Role

We're looking for Data Scientists specialising in post-training of large language models (LLMs) to join our team. You'll be part of an enthusiastic and collaborative team, reporting to the Head of Data Science, Integrity & COREX at our One North Singapore office.

Your work will involve advancing fields such as reasoning, multi-modality, multi-lingual systems, and AI agents. You'll contribute to solutions that improve risk and safety measures, enhance customer support, personalise user experiences, and boost internal productivity. You'll work on end-to-end system deployments while collaborating with businesses and product teams to deliver innovative solutions with measurable commercial impact.

The Critical Tasks You Will Perform

You will:

• Implement post-training and optimization tasks for large language models, including fine-tuning, distillation, performance evaluation, and low-resource training.
• Handle domain-specific data processes such as data collection, cleaning, labelling, augmentation, and synthetic data generation for model improvement.
• Design and develop systems that integrate reasoning, multi-modal processing, multi-lingual modelling, and AI agent behaviour for real-world applications.
• Deploy LLM-based applications in different scenarios, including risk control, customer support, personalization, and internal productivity use cases.
• Prepare technical documentation, patents, prototypes, and demonstrations to showcase project outcomes and advancements.
• Engage with business and product teams to ensure alignment with strategic objectives and contribute to planning efforts.

About the Role

As a Data Scientist in Cartography's Routing team, you will be involved in working to optimize the routing platform that powers many of Gojek services (across marketplace, food or logistics). Some areas include building data products, experimentation design/analysis, performing literature surveys, building/maintaining production grade data pipelines and working closely with the data, product & engineering team to solve challenging geospatial problems.

What You Will Do

• Oversee experimentation design and analysis (AB testing, Switchback)

• Deep-dive into analysis to support engineering & business decisions

• Design, implement multi-modal capabilities on unstructured data such as text or images using generative models, deep learning models or other complex solutions to strengthen inhouse geospatial capabilities

• Own the entire MLops lifecycle in terms of deployment and maintaining reliability of large scale real-time ML models

• Work with Data Scientists, Product Engineers and Product Managers to build, deploy, and scale end-to-end data science solutions

What You Will Need

• Master's in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.

• 5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.

• Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).

• Understanding of statistical concepts and techniques, with experience applying them to real-world problems.

• Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.

• Experience with solving problems using deep learning (Graph learning, NLP, images, generative AI) is a plus

• A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.

About the Team

At the heart of Gojek's businesses, we move things around. Whether that's people, food, packages, or fresh groceries moving things around boils down to understanding the best route, understanding traffic, and understanding locations. The Cartography team is a platform team that surfaces mapping technologies needed by all internal product teams and business units within Gojek.

As Chicken Rice is to the people of Singapore, the Data team is to Cartography: providing the nourishment and power to sustain our business from the inside out. Our main responsibility is to build data products for ETA prediction, mapping errors detection, map-matching, location search and ranking, and reverse geocoding. We maintain sophisticated data & machine learning systems that power internal products by striving to provide accurate map signals that are as close to reality as possible.

While our team is based all over the region, we are a tight-knit group that is bonded by two things: how to grow our maps using strong machine learning, engineering automation, and strong operations and emphasize professional development around these areas. For real - our weekly conversations range from well, mapping and navigation to competing in friendly online gaming. But whether you like to play online games or you share our love for an afternoon tea/coffee break like us, we'd be stoked to have you join the fam

About GoTo Group

GoTo Group is the largest digital ecosystem in Indonesia with its mission to "Empower Progress' by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia's vast consumer household.

About Gojek

Gojek is Southeast Asia's leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.

About GoTo Financial

GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.

GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.

Get to Know the Team

At Grab, the Market Insights team drives impactful data-driven decisions by uncovering insights about the region's users, merchants, and driver partners. By analysing vast datasets across transactional and behavioural activities, we bridge the gap between raw data science capabilities and actionable business strategies. Our work is pivotal in driving growth and enhancing the on-demand industry, always innovating through AI/ML integration for practical business applications.

Get to Know the Role

As a Lead Data Scientist (Analytics), your role involves implementing advanced machine learning systems to improve user engagement, merchant operations, and driver strategies. You'll be a technical leader and problem solver, able to deploy data models into production and guiding team members in the best practices for AI and machine learning applications. Your expertise will directly influence product decisions and shape Grab's competitive edge in the on-demand economy. You'll be part of an enthusiastic and collaborative team, reporting to the Head of Analytics - User & Market Insights at our One North Singapore office.

The Critical Tasks You will Perform

You will:

• Collaborate with engineers, product managers, marketing teams, and regional country teams to convert business challenges into machine learning solutions.
• Lead AI initiatives to enhance internal productivity, streamline workflows, and automate tasks within the User & Market Insights team.
• Analyze and interpret complex datasets of transactional, behavioural, and user interactions to uncover trends and actionable insights that inform growth strategies.
• Develop and productionise scalable machine learning models, ensuring solutions can handle large datasets while being adaptable to changing business requirements.
• Fine-tune and implement LLM-based use cases, customising pre-trained large language models for Grab-specific applications.
• Optimise ML frameworks and statistical methods, such as TensorFlow, PyTorch, and causal inference for robust modelling needs.
• Manage MLOps Lifecycles, automating processes from data preparation, evaluation, training, and serving models in production environments.
• Mentor team members, providing technical guidance and sharing knowledge to elevate the team's capabilities.

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

At Grab, the Market Insights team drives impactful data-driven decisions by uncovering insights about the region's users, merchants, and driver partners. By analysing vast datasets across transactional and behavioural activities, we bridge the gap between raw data science capabilities and actionable business strategies. Our work is pivotal in driving growth and enhancing the on-demand industry, always innovating through AI/ML integration for practical business applications.

Get to Know the Role

As a Lead Data Scientist (Analytics), your role involves implementing advanced machine learning systems to improve user engagement, merchant operations, and driver strategies. You'll be a technical leader and problem solver, able to deploy data models into production and guiding team members in the best practices for AI and machine learning applications. Your expertise will directly influence product decisions and shape Grab's competitive edge in the on-demand economy. You'll be part of an enthusiastic and collaborative team, reporting to the Head of Analytics - User & Market Insights at our One North Singapore office.

The Critical Tasks You will Perform

You will:

• Collaborate with engineers, product managers, marketing teams, and regional country teams to convert business challenges into machine learning solutions.
• Lead AI initiatives to enhance internal productivity, streamline workflows, and automate tasks within the User & Market Insights team.
• Analyze and interpret complex datasets of transactional, behavioural, and user interactions to uncover trends and actionable insights that inform growth strategies.
• Develop and productionise scalable machine learning models, ensuring solutions can handle large datasets while being adaptable to changing business requirements.
• Fine-tune and implement LLM-based use cases, customising pre-trained large language models for Grab-specific applications.
• Optimise ML frameworks and statistical methods, such as TensorFlow, PyTorch, and causal inference for robust modelling needs.
• Manage MLOps Lifecycles, automating processes from data preparation, evaluation, training, and serving models in production environments.
• Mentor team members, providing technical guidance and sharing knowledge to elevate the team's capabilities.

Qualifications

What Essential Skills You will Need

• You have a Degree in Computer Science, Software Engineering, Mathematics, Physics, or other related fields. You have at least 7 years of experience in large-scale Machine Learning systems and at least 3 years in a senior or lead data scientist role.
• You are proficient in machine learning frameworks (TensorFlow/PyTorch) to implement and optimize predictive models and neural networks for ML tasks.
• You have experience designing and deploying fine-tuned LLMs to leverage large language models for tailored applications in enterprise scenarios.
• You have programming skills in Python and knowledge of MLOps lifecycle management to automate workflows and deploying models when working with large-scale datasets.
• You have big data processing expertise in Spark (or equivalent frameworks)
• You have statistical knowledge in causal inference or advanced methods
• You have end-to-end project management abilities from data collection to model deployment, including stakeholder alignment to bridge expectations with technical deliverables.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For At Grab

We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Company Description

About Grab and Our Workplace

Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.

Job Description

Get to Know the Team

Our data science team works on developing cutting-edge algorithms for data mining, machine learning, and language applications. Each team member helps enhance user experiences and optimise platform efficiency to solve complex business challenges.

Get to Know the Role

We're looking for Data Scientists specialising in post-training of large language models (LLMs) to join our team. You'll be part of an enthusiastic and collaborative team, reporting to the Head of Data Science, Integrity & COREX at our One North Singapore office.

Your work will involve advancing fields such as reasoning, multi-modality, multi-lingual systems, and AI agents. You'll contribute to solutions that improve risk and safety measures, enhance customer support, personalise user experiences, and boost internal productivity. You'll work on end-to-end system deployments while collaborating with businesses and product teams to deliver innovative solutions with measurable commercial impact.

The Critical Tasks You Will Perform

You will:

• Implement post-training and optimization tasks for large language models, including fine-tuning, distillation, performance evaluation, and low-resource training.
• Handle domain-specific data processes such as data collection, cleaning, labelling, augmentation, and synthetic data generation for model improvement.
• Design and develop systems that integrate reasoning, multi-modal processing, multi-lingual modelling, and AI agent behaviour for real-world applications.
• Deploy LLM-based applications in different scenarios, including risk control, customer support, personalization, and internal productivity use cases.
• Prepare technical documentation, patents, prototypes, and demonstrations to showcase project outcomes and advancements.
• Engage with business and product teams to ensure alignment with strategic objectives and contribute to planning efforts.

Qualifications

What Essential Skills You Will Need

• You've at least 4 years of relevant experience with a Master's degree in computer science, artificial intelligence, or a related field.
• You're proficient in advanced machine learning and deep learning principles, large-language-model post-training techniques such as SFT (Supervised Fine-Tuning) and DPO (Direct Preference Optimization).
• You're in managing large-scale training data, including processes for cleaning, labelling, augmentation, and generation of domain-specific datasets.
• You're experienced in end-to-end deployment of applications driven by large models, covering development, testing, and launch phases.
• You've knowledge of reasoning, multi-modality, and multi-lingual modelling principles to create AI solutions.
• You've expertise with Python programming along with competency in widely-used deep learning frameworks (e.g. TensorFlow, PyTorch).
• You're proficient in spoken and written English to articulate technical achievements and collaborate with global teams.

Additional Information

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours

What We Stand For at Grab

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

COMPANY DESCRIPTION

Mediacorp is Singapore's largest content creator and national media network, operating a suite of TV channels, radio stations, and multiple digital platforms. Its mission is to engage, entertain, and enrich audiences by harnessing the power of creativity.

We are committed to creating an inclusive and diverse workplace where talent thrives. Our hiring decisions are made based on merit and fit-to-role. If you have a disability or special need which requires accommodation to participate in the recruitment process, please inform us when you submit your online application. We will be happy to support as necessary.

Thank you for your interest and application to this role. Please note that only short-listed candidates will be contacted.

DESIGNATION : Lead, Data Scientist

RESPONSIBILITIES

• Lead and grow the data science practice in Mediacorp, including guiding and mentoring a team of data scientists
• Analyse and translate large amounts of data into meaningful, actionable insights for commercial purposes by applying various machine-learning and deep learning techniques
• Lead, design and implement quantitative analytical models, including forecasting and predictive models, identity graphs, recommendations and various performance optimization initiatives to enhance business outcomes
• Establish internal benchmarks and best practices in data science approaches
• Support product development effort including understanding business needs, documenting data and data integration requirements, and resolving conflicting business/data architecture rules.
• Become an internal authority on Mediacorp's data tools and data science output
• Support ad-hoc data science strategic initiatives

QUALIFICATIONS

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field
• Minimum 10 years hands-on experience in machine learning or advanced analytics, including designing, developing and deploying data science models
• Relevant team management experience will be essential
• Strong technical capabilities. Proven expertise in developing and implementing a full range of analytical techniques to address commercial challenges
• Proficiency in at least one statistical analysis tool
• Proficiency in at least one programming language (preferably Java, C++, Python)
• Critical thinking and problem-solving skills are essential for this role
• Strong written and spoken communication skills
• Able to present findings to internal and external business stakeholders confidently
• Basic knowledge of data engineering principles and architecture

Education & Experience

• Master's degree in Data Science, Computer Science, Statistics, Operations Research, or related quantitative field
• 5-7 years of hands-on experience in machine learning and data science roles
• Demonstrated experience working with location-based or IoT sensor data
• Previous exposure to healthcare data environments strongly preferred

Technical Skills

• Programming: Expert-level proficiency in Python or R, with strong experience in data manipulation libraries (pandas, numpy, dplyr)
• Machine Learning: Hands-on experience with scikit-learn, TensorFlow, PyTorch, or similar frameworks
• Spatial Analytics: Proficiency with spatial analysis tools such as GeoPandas, PostGIS, QGIS, or ArcGIS
• Databases: Experience with SQL and spatial databases (PostgreSQL/PostGIS, MongoDB with geospatial features)
• Visualization: Strong skills in creating compelling data visualizations using matplotlib, plotly, seaborn, or similar tools
• Statistical Analysis: Solid foundation in statistical methods, hypothesis testing, and experimental design

Domain Knowledge

• Understanding of healthcare workflows, hospital operations, or facility management
• Familiarity with RTLS technologies (RFID, BLE, WiFi-based tracking, UWB)
• Knowledge of spatial optimization techniques and facility layout principles
• Experience with time-series analysis and forecasting methods

Preferred Qualifications

Advanced Technical Skills

• Experience with cloud platforms (AWS, Azure, GCP) and scalable data architectures
• Knowledge of streaming data processing (Apache Kafka, Spark Streaming)
• Familiarity with containerization (Docker, Kubernetes) and MLOps practices
• Experience with graph analytics and network analysis techniques
• Background in simulation modeling or discrete event simulation

Specialized Experience

• Previous work in healthcare analytics, particularly in operational efficiency
• Experience with facility planning software or space management systems
• Knowledge of hospital design principles and healthcare facility standards
• Background in industrial engineering or operations research
• Experience with A/B testing in operational environments

Leadership & Communication

• Proven track record of translating complex analytical insights into business value
• Experience mentoring junior data scientists or analysts
• Strong project management skills and ability to manage multiple priorities
• Publications or presentations at relevant conferences (healthcare informatics, spatial analytics)

• Develop analytical models and/or machine learning algorithms to drive project execution within our Advanced Process Innovation program.
• Collaborate with internal production, technology, and engineering teams, as well as external partners, to deliver the Advanced Process Innovation program and identify additional opportunities for improvements.
• Communicate analysis results, findings, and recommendations clearly to relevant stakeholders through clear and concise reports and presentations.
• Work closely with Data Engineers to design MLOps/DevOps pipelines, maintain data pipelines, and databases, ensuring data integrity while adhering to organization data governance and security policies.
• Act as a coach for the organization to democratize machine learning techniques by running initiatives to support this objective.
• Stay up-to-date with industry trends and emerging technologies in data science and machine learning methodology to bring them into our organization.

• Master or Ph.D. in Data Science, Business Informatics, Computer Science, Chemical Engineering, or a related field.
• Minimum of 5 years of experience in data science/analytics, DevOps/MLOps, data engineering, and project management with full-stack ML engineering experience, preferably in the chemical or manufacturing industry.
• Proficiency in programming languages such as Python & R, collaborative tools like GitHub & Azure DevOps, and data visualization tools (i.e., Tableau, PowerBI).
• Excellent communication skills, intercultural competence, and team spirit with curiosity to explore new technologies and tools in the industry.
• Bachelor's degree in a related field may be considered with sufficient experience.
• Familiarity with other engineering/process control related software (ASPEN, PACE, etc.) is a plus.
• Network with local universities and local vendors/suppliers is a plus.

As a key member of our team, you will have opportunities to:

• Work on cutting-edge projects that drive innovation and growth.
• Collaborate with talented professionals from diverse backgrounds.
• Develop your skills and expertise in data science and machine learning.
• Contribute to the development of new technologies and methodologies.

Overview
As a Data Scientist in Cartography’s Routing team, you will be involved in working to optimize the routing platform that powers many of Gojek services (across marketplace, food or logistics). Some areas include building data products, experimentation design/analysis, performing literature surveys, building/maintaining production grade data pipelines and working closely with the data, product & engineering team to solve challenging geospatial problems.
What You Will Do
Oversee experimentation design and analysis (AB testing, Switchback)
Deep-dive into analysis to support engineering & business decisions
Design, implement multi-modal capabilities on unstructured data such as text or images using generative models, deep learning models or other complex solutions to strengthen inhouse geospatial capabilities
Own the entire MLops lifecycle in terms of deployment and maintaining reliability of large scale real-time ML models
Work with Data Scientists, Product Engineers and Product Managers to build, deploy, and scale end-to-end data science solutions
What You Will Need
Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.
5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.
Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).
Understanding of statistical concepts and techniques, with experience applying them to real-world problems.
Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
Experience with solving problems using deep learning (Graph learning, NLP, images, generative AI) is a plus
A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.
About the Team
At the heart of Gojek’s businesses, we move things around. Whether that’s people, food, packages, or fresh groceries moving things around boils down to understanding the best route, understanding traffic, and understanding locations. The Cartography team is a platform team that surfaces mapping technologies needed by all internal product teams and business units within Gojek.
As Chicken Rice is to the people of Singapore, the Data team is to Cartography: providing the nourishment and power to sustain our business from the inside out. Our main responsibility is to build data products for ETA prediction, mapping errors detection, map-matching, location search and ranking, and reverse geocoding. We maintain sophisticated data & machine learning systems that power internal products by striving to provide accurate map signals that are as close to reality as possible.
While our team is based all over the region, we are a tight-knit group that is bonded by two things: how to grow our maps using strong machine learning, engineering automation, and strong operations and emphasize professional development around these areas. For real - our weekly conversations range from well, mapping and navigation to competing in friendly online gaming. But whether you like to play online games or you share our love for an afternoon tea/coffee break like us, we’d be stoked to have you join the fam!
About GoTo Group
GoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek
Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo Financial
GoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels onour respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
Gojek is Southeast Asia’s leading on-demand platform and a pioneer of the multi-service ecosystem model, providing access to a wide range of services including transportation, food delivery, logistics and more.
#J-18808-Ljbffr