
Thoughtworks · Singapore
Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awa...
Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining
techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and
effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business
impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders.
They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members.
As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex
business problems.
impact on customers.
in mind.
in the data science and machine learning space.
to implement end-to-end data science projects.
vision/Generative AI, etc).
easy to evolve and test.
integrity.
improve existing processes.
and visualizations.
throughout projects, ensuring buy-in and gaining trust along the way.
accountability for their work.
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we
also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools,
numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that
extends to empowering our employees in their career journeys.
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading
technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered
extraordinary impact together with our clients by helping them solve complex business problems with technology as the
differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be
extraordinary.
#LI-Onsite
See here our AI policy.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team Agoda, part of Booking Holdings, operates at the cutting edge of tech innovation. Work and build LLM-powered features that enable users to seamlessly book flights, hotels, and activities in an all-in-one experience. Build solutions operating directly in real booking flows at Agoda scale. You’ll have real ownership over how the system is designed, built, and evolved, with the freedom to make meaningful technical and product decisions from day one. This role is ideal for senior Data Scientists or ML practitioners who enjoy owning complex systems end-to-end and working at the intersection of ML, product, and engineering. What You'll Do * Own end-to-end LLM systems: Design, build, and own LLM-based systems, from understanding user intent to planning multi-step trips and invoking internal systems to search, price, and book. * Turn ambiguity into production solutions: Translate open-ended product problems into concrete ML and LLM designs, balancing quality, latency, cost, and reliability in a real-world environment. * Drive cross-functional decisions: Partner closely with product, engineering, and leadership to make informed trade-offs that directly shape the product and user experience. * Iterate with real-world feedback: Ship quickly, learn from production usage, and continuously improve system behavior at scale. What We're Looking For * Technical depth: Strong hands-on Data Science experience, including modeling, feature engineering, statistics, and experimentation. * LLM systems and evaluation: Experience building and operating production LLM systems (e.g., RAG, tool/agent orchestration, context and memory management), with a strong focus on evaluation, testing, and iteration — or the ability to ramp up quickly in parts of this space. * Problem-solving mindset: Excellent analytical and problem-solving skills, with comfort operating in open-ended problem spaces where requirements evolve. Why This Role * Meaningful user impact: Help millions of travelers make better, more confident decisions for trips that matter to them. * High ownership, high impact: Your work will directly shape a system used in real booking decisions — not demos or prototypes. * Direct influence: Play a key role in both implementation and product direction. * Competitive compensation: Flexible leveling with compensation aligned to experience and impact. If you’re excited about building real-world AI products at scale and owning systems that directly impact millions of travelers, we’d love to hear from you We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS. DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world. Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide. No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us. Get to Know Our Team Agoda, part of Booking Holdings, operates at the cutting edge of tech innovation. Work and build LLM-powered features that enable users to seamlessly book flights, hotels, and activities in an all-in-one experience. Build solutions operating directly in real booking flows at Agoda scale. You’ll have real ownership over how the system is designed, built, and evolved, with the freedom to make meaningful technical and product decisions from day one. This role is ideal for senior Data Scientists or ML practitioners who enjoy owning complex systems end-to-end and working at the intersection of ML, product, and engineering. What You'll Do * Own end-to-end LLM systems: Design, build, and own LLM-based systems, from understanding user intent to planning multi-step trips and invoking internal systems to search, price, and book. * Turn ambiguity into production solutions: Translate open-ended product problems into concrete ML and LLM designs, balancing quality, latency, cost, and reliability in a real-world environment. * Drive cross-functional decisions: Partner closely with product, engineering, and leadership to make informed trade-offs that directly shape the product and user experience. * Iterate with real-world feedback: Ship quickly, learn from production usage, and continuously improve system behavior at scale. What We're Looking For * Technical depth: Strong hands-on Data Science experience, including modeling, feature engineering, statistics, and experimentation. * LLM systems and evaluation: Experience building and operating production LLM systems (e.g., RAG, tool/agent orchestration, context and memory management), with a strong focus on evaluation, testing, and iteration — or the ability to ramp up quickly in parts of this space. * Problem-solving mindset: Excellent analytical and problem-solving skills, with comfort operating in open-ended problem spaces where requirements evolve. Why This Role * Meaningful user impact: Help millions of travelers make better, more confident decisions for trips that matter to them. * High ownership, high impact: Your work will directly shape a system used in real booking decisions — not demos or prototypes. * Direct influence: Play a key role in both implementation and product direction. * Competitive compensation: Flexible leveling with compensation aligned to experience and impact. If you’re excited about building real-world AI products at scale and owning systems that directly impact millions of travelers, we’d love to hear from you We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates. PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS. DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Senior Machine Learning Engineers at Thoughtworks build, maintain and test the architecture and infrastructure for managing machine learning applications. They are involved in supporting and contributing to the design of the end-to-end applications and products. They are responsible for building core capabilities including technical and functional machine learning systems and applications, being the anchor for functional streams of work and are accountable for timely delivery. As a senior machine learning engineer, you will work on the latest tools, frameworks and offerings while also being involved in enabling credible and collaborative problem solving to execute on a strategy. Due to the project requirement, candidates must be Singaporean citizens or already hold Singaporean Permanent Residency (PR) at the time of application. JOB RESPONSIBILITIES * You will contribute to design and drive the development of robust scalable architectures and infrastructure for deploying and managing machine learning (ML) applications, ensuring high availability, performance and security. * You will collaborate with data scientists and engineers to translate business needs into effective and efficient ML systems and applications. * You will own the development and maintenance of core functionalities within ML applications, including ML pipelines, model training and deployment, and monitoring and evaluation. * You will drive the functional stream of work by providing technical expertise, handling team discussions and ensuring timely delivery of assigned tasks. * You will stay ahead of the curve by actively exploring and implementing the latest tools, frameworks and offerings in the ML landscape. * You will facilitate collaborative problem solving within the team by actively listening, communicating effectively and mentoring other engineers. * You will contribute to the development and execution of the team's overall ML strategy, aligning technical capabilities with business objectives. * You will proactively identify and address challenges related to ML systems and applications, proposing solutions and implementing improvements. JOB QUALIFICATIONS TECHNICAL SKILLS * You have experience in writing clean, maintainable and testable code, demonstrating attention to refactoring and readability of the code. * You are proficient in scripting languages such as Python or Shell for automation and task streamlining. * You have knowledge of distributed systems and scalable architectures to handle large-scale ML applications. * You have experience with building, deploying, and maintaining ML systems using relevant ML techniques and platforms, i.e.: Scikit-learn, Tensorflow, MLFlow, Kubeflow, Pytorch. * You have experience with building, deploying and maintaining ML systems and experience with application of MLOps principles and CI/CD to ML. * You have experience in machine learning engineering and data science, are familiar with key ML concepts, algorithms and frameworks, and understand ML model lifecycles. * You have experience with designing and operating the infrastructure required to run different types of ML training and serving workloads, i.e.: on-premise vs. cloud infrastructure, infrastructure as code, monitoring, etc. * You have hands-on experience with on-premise and cloud services for building and deploying ML pipelines, i.e.: Azure, AWS, GCP or Databricks and associated ML managed services. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. #LI-Onsite See here our AI policy.