306 Lead Data Scientist jobs in Singapore
Lead Data Scientist
Posted today
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Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries 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.
Thoughtworks Singapore will be shortlisting applicants who have a current right to work in Singapore i.e. Singapore Citizens and Singapore Permanent Residents only due to the nature of our project in the public sector.
Job responsibilities- You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration.
- You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning.
- You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues.
- You will design, develop and implement data science strategies that drive measurable business results.
- You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action.
- You will use quality metrics to select machine learning models that will be deployed in the production environment.
- You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind.
- You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization.
- You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility).
- You will work with CD4ML practices and data versioning tools.
- You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models.
- You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects.
- You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc).
- You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test.
- You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity.
- You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships.
- You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes.
- You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability.
- You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations.
- You ensure compliance with data privacy regulations and ethical standards when handling sensitive information.
- 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.
- You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
- Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.
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.
About ThoughtworksThoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
Lead Data Scientist
Posted 6 days ago
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Job Description
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders—empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact.
Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place.
BCG X
BCG X is the tech build & design unit of BCG. Turbocharging BCG’s deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world’s most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we’re creating the bold and disruptive products, services, and businesses of tomorrow. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
What You'll Do
BCG X combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG X team is comprised of world-class data scientists and business consultants who specialize in the use of advanced analytics to get breakthrough business results. Our teams own the full analytics value-chain end to end: framing new business challenges, building fact-bases, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. Here at BCG X, you’ll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing analytics enterprise at BCG - a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology.
Who You Are
We’re looking for a passionate and talented Data Scientist to join our rapidly growing team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of industries. As the field of advanced analytics is rapidly evolving, the data scientist is responsible for staying current on leading-edge business applications, tools and approaches, proactively working with the Analytics Leadership to enhance offerings that deliver competitive advantage to BCG. Successful candidates are intellectually curious builders who are biased toward action and exceptional communicators.
- Have deep technical and Data Science expertise: The successful candidate will have a wealth of experience with applying advanced analytics to a variety of business situations, such that they can efficiently and effectively advise multiple teams on the best path to uncovering critical insights for clients.
- Are a pioneer with strong problem-solving skill: You will face various client business issues explained in their language and should organize the issues in structured way. Furthermore, you are able to break-down the issues into analytics problems and suggest options for applicable analysis methodologies based on client context.
- Are an autonomous self-starter with a passion for analytics. You will help build new Analytics service offerings that grow our portfolio of products and will captures proprietary content and support the creation of proposal/selling documents.
- Are comfortable managing engagements, client relationships, and acting as a “thought Leader.” Strong presence, strong collaborator and leadership skills and ability to operate effectively in a matrix organization are a must.
- Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
- Have significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data; as well as a deep understanding of modern machine learning techniques and their mathematical underpinnings, and are able to translate this into business implications for our clients.
- Have strong project management skills
What You'll Bring (Experience & Qualifications)
- Master’s Degree or PhD with significant relevant experience providing advanced analytics solutions. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field.
- Demonstrated deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment on strategic issues.
- Strong record of professional accomplishment and leadership.
- Fluency in at least one scripting language (e.g. Python, R)
Work Environment
Ability to travel extensively based on client and business needs.
Lead/Senior Data Scientist
Posted today
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Join to apply for the Lead/Senior Data Scientist role at Civil Aviation Authority of Singapore
Join to apply for the Lead/Senior Data Scientist role at Civil Aviation Authority of Singapore
What The Role Is
(What The Role Is)
The Data Science section resides within the CAAS Data and Performance Division. This section leads air hub studies and drives performance management. The section is expected to exploit a data-driven approach to enhance CAAS effectiveness. It applies data science techniques to address real-world challenges and is responsible for formulating the data science strategy and implementation plans for CAAS.
The candidate will collaborate with other divisions, international organisations and research institutes to understand and analyze operational constraints and challenges and apply data science techniques to drive data-driven decision making in addressing these issues. As such, a working knowledge of data science tools, such as Python and Tableau, is required.
The candidate is also required to work with other divisions and external vendors to understand the architecture of new data systems and ensure accurate and appropriate data capture.
The candidate may be assigned additional duties as deemed appropriate by the organisation.
(What You Will Be Working On)
- Maintain, measure and evolve the monitoring and benchmarking of key performance indicators in CAAS
- Working closely with business stakeholders to understand their challenges and goals, translating complex data into actionable insights
- Design and implement models that can analyse large datasets to solve various problems and predict future outcomes
- Formulating, suggesting, and managing data-driven projects that are geared at furthering the business's interests
- Building predictive models, designing experiments, manipulating large datasets, and communicating their findings to stakeholders
- Work with research institutes to design new DSAI engines
- Work with external vendors to deliver an end-to-end data management system
- Minimum 5 - 10 years’ experience in the field of data analytics and/or data science
- Trained in data science, computer science, computer engineering, data science, information technology or equivalent
- Advanced working knowledge of data science techniques
- Working knowledge of airport management and air traffic management will be a plus
- Good interpersonal skills to engage internal and external stakeholders
- Aptitude for analytics
- Positive working attitude
- Good staff work
- Seniority level Entry level
- Employment type Full-time
- Job function Other
- Industries Government Administration and Industrial Machinery Manufacturing
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#J-18808-LjbffrData Analytics Instructor
Posted today
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Job Description
Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.
We are looking for instructors:
Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.
This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)
Why teach our Data Analytics Bootcamp?If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:
- Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
- Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
- Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
- Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
- Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.
Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.
The Data Analytics Bootcamp consists of nine units:
- Unit 1: Responsible data analytics
- Unit 2: Statistics and mathematics for data analysts
- Unit 3: Data analysis and interpretation with Excel and Power BI
- Unit 4: Data acquisition and cleaning with SQL
- Unit 5: Data analysis and communication with Tableau
- Unit 6: Data analysis with Python
- Unit 7: Data in the organization
- Unit 8: Capstone projects
- Unit 9: Career planning
Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.
Skills & Qualifications- You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
- You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
- You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
- You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
- You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
- You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
- You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
- You have experience mentoring, coaching, or training others in a professional or educational setting.
- Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
- This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.
- Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
- Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
- Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
- Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
- Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
- Facilitate a dynamic, collaborative, and positive classroom community.
- Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.
Posting date: 01-22-2025
#J-18808-LjbffrData Analytics Lead
Posted today
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Job Description
Data Science and Analytics · Singapore
Data Analytics LeadAbout Wego:
We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world.
Today, Wego is used by millions of people every month — people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.
The Role:
We are seeking an experienced and visionary Lead, Data Analytics to manage our Data Analytics team and oversee Wego’s data initiatives. You will be responsible for guiding a team of analysts, developing data strategies, and ensuring the smooth execution of data projects across the organization. This role will be instrumental in driving Wego’s data culture, fostering best practices, and aligning data activities with business goals.
What you will be working on:
You will lead and mentor a team of data analysts, develop and execute a data strategy, and oversee the design and maintenance of data infrastructure. Working cross-functionally, you will ensure data insights are integrated into various business strategies, and you will promote a data-driven culture that emphasizes data integrity, governance, and compliance.
Core Responsibilities:
- Team Leadership: Lead, mentor, and manage a team of data analysts, overseeing hiring, training, and performance management.
- Data Strategy Development: Develop and implement a data strategy that aligns with Wego’s business objectives.
- Data Infrastructure Management: Oversee the design, development, and maintenance of data infrastructure, ensuring data integrity and pipeline reliability.
- Data Visualization & BI: Utilize Looker and other BI tools to provide business intelligence and support decision-making.
- Cross-functional Collaboration: Work with product, commercial, finance, and marketing teams to integrate data insights into strategies.
- Data Governance & Compliance: Ensure adherence to data privacy regulations and best practices.
- Project Management: Lead data projects, managing timelines and ensuring alignment with business goals.
- Culture Building: Promote a data-driven culture within the organization, championing continuous improvement and best practices.
Skills and experience:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- 5+ years in a leadership role within data analytics, engineering, or data science.
- Strong expertise in BI tools such as Looker, Tableau, or similar.
- Proven experience managing multifunctional teams and complex data projects.
- Proficiency with cloud architecture (e.g., AWS, BigQuery) and data pipeline management (e.g., Airflow).
- Advanced SQL skills and familiarity with Python preferred.
- Knowledge of data governance, data privacy, and compliance.
- Strong project management and prioritization skills.
Nice to haves:
- Experience in the travel industry or with app-based products.
- Expertise in stakeholder management and cross-functional collaboration.
- Background in building data-driven cultures within high-growth organizations.
- Department
- Data Science and Analytics
- Role
- Data Analyst
- Locations
- Singapore
- Employment type
- Full-time
- Brand
- Wego
Contact Ali Memar Talent Partner – People
Data Science and Analytics · Singapore
Data Analytics LeadAlready working at Wego?
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Data Analytics Engineer
Posted today
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Job Description
As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.
We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.
Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.
For more information on Singapore University of Social Sciences, please visit
About The JobWe are seeking a versatile and motivated individual to join our team as a Data Analytics Engineer (Entry Level). In this role, you will build and maintain scalable data pipelines, develop and deploy machine learning (ML) models, and support the university’s data-driven initiatives using tools such as Microsoft Fabric, Azure Machine Learning, and Power BI. In addition to data and ML development, you will also serve as an administrator of Microsoft Fabric, the university’s cloud analytics platform—ensuring efficient operations, governance, and user support. This position is ideal for individuals who enjoy working across the full data and ML lifecycle—from wrangling raw datasets to training models and supporting strategic decisions through analytics. You will be part of a collaborative, in-house data team addressing meaningful challenges in education and operations.
What You Will Be DoingKey Responsibilities:
Data Engineering & Machine Learning Development
- Design, build, and maintain scalable data pipelines using Microsoft Fabric components (e.g., Data Pipelines, Dataflows) and PySpark.
- Ingest, clean, and transform data from diverse sources such as APIs, flat files, and databases.
- Operate within the Lakehouse architecture to ensure reliable, well-governed data delivery.
- Design, train, and evaluate models for classification, prediction, and segmentation use cases.
- Perform feature engineering, model tuning, and validation.
- Deploy models in collaboration with analytics specialists and contribute to building reusable ML feature stores.
- Ensure data quality, documentation, and lineage are maintained across workflows.
Microsoft Fabric Administration & Analytics Support
- Act as the primary administrator for Microsoft Fabric, overseeing workspace, capacity, and permission management.
- Monitor usage, performance, and cost metrics; troubleshoot and optimise resource allocation.
- Support onboarding of university teams to Microsoft Fabric and maintain security and compliance standards.
- Manage workspace hygiene, archival, and governance enforcement across all Fabric artefacts.
- Collaborate with the data warehouse team, analytics specialists, AI engineers, and domain users to deliver structured datasets and model outputs.
- Assist in building and refining Power BI datasets and dashboards for decision-making support.
- Possess a degree in Data Science, Business Analytics or related.
- Proficiency in SQL and Python, including libraries such as Pandas, Scikit-learn, and PySpark.
- Strong interest or hands-on experience in end-to-end ML development (from data prep to deployment).
- Familiarity with Microsoft Fabric components (e.g., Lakehouse, Data Pipelines, Dataflows).
- Exposure to Power BI or equivalent BI/visualisation tools.
- Microsoft Fabric certification (or willingness to obtain one).
- Exposure to Azure Machine Learning or similar ML model lifecycle platforms.
- Practical experience (via internships, coursework, or projects) in data engineering or ML model development.
- Understanding of higher education data or student analytics scenarios.
- Curious and self-driven with a growth mindset.
- Able to clearly explain technical concepts to both technical and non-technical audiences.
- Strong attention to detail and a methodical, structured approach to solving problems.
At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career!
Besides that, you will also get:
- Competitive Pay Package
- Hybrid Work Arrangement (Subject to Job Role)
- Medical Benefits
- Flex Benefits
- Family Care Leaves
- Volunteer Service Leaves
- Wellness & Recreation Activities
- Lifelong Learning Opportunities
- Career Development Opportunities through Internal Job Postings and Transfers
Data Analytics Lead
Posted today
Job Viewed
Job Description
About Wego:
We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world.
Today, Wego is used by millions of people every month — people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.
The Role:
We are seeking an experienced and visionary Lead, Data Analytics to manage our Data Analytics team and oversee Wego’s data initiatives. You will be responsible for guiding a team of analysts, developing data strategies, and ensuring the smooth execution of data projects across the organization. This role will be instrumental in driving Wego’s data culture, fostering best practices, and aligning data activities with business goals.
What you will be working on:
You will lead and mentor a team of data analysts, develop and execute a data strategy, and oversee the design and maintenance of data infrastructure. Working cross-functionally, you will ensure data insights are integrated into various business strategies, and you will promote a data-driven culture that emphasizes data integrity, governance, and compliance.
Core Responsibilities:
- Team Leadership: Lead, mentor, and manage a team of data analysts, overseeing hiring, training, and performance management.
- Data Strategy Development: Develop and implement a data strategy that aligns with Wego’s business objectives.
- Data Infrastructure Management: Oversee the design, development, and maintenance of data infrastructure, ensuring data integrity and pipeline reliability.
- Data Visualization & BI: Utilize Looker and other BI tools to provide business intelligence and support decision-making.
- Cross-functional Collaboration: Work with product, commercial, finance, and marketing teams to integrate data insights into strategies.
- Data Governance & Compliance: Ensure adherence to data privacy regulations and best practices.
- Project Management: Lead data projects, managing timelines and ensuring alignment with business goals.
- Culture Building: Promote a data-driven culture within the organization, championing continuous improvement and best practices.
Skills and experience:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
- 5+ years in a leadership role within data analytics, engineering, or data science.
- Strong expertise in BI tools such as Looker, Tableau, or similar.
- Proven experience managing multifunctional teams and complex data projects.
- Proficiency with cloud architecture (e.g., AWS, BigQuery) and data pipeline management (e.g., Airflow).
- Advanced SQL skills and familiarity with Python preferred.
- Knowledge of data governance, data privacy, and compliance.
- Strong project management and prioritization skills.
Nice to haves:
- Experience in the travel industry or with app-based products.
- Expertise in stakeholder management and cross-functional collaboration.
- Background in building data-driven cultures within high-growth organizations.
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Data Analytics Instructor
Posted today
Job Viewed
Job Description
Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.
We are looking for instructors:Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.
This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)
Why teach our Data Analytics Bootcamp?If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:
- Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
- Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
- Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
- Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
- Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.
Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.
The Data Analytics Bootcamp consists of nine units:
- Unit 2: Statistics and mathematics for data analysts
- Unit 3: Data analysis and interpretation with Excel and Power BI
- Unit 4: Data acquisition and cleaning with SQL
- Unit 5: Data analysis and communication with Tableau
- Unit 6: Data analysis with Python
- Unit 7: Data in the organization
- Unit 8: Capstone projects
Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.
Skills & Qualifications- You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
- You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
- You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
- You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
- You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
- You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
- You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
- You have experience mentoring, coaching, or training others in a professional or educational setting.
- Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
- This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.
- Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
- Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
- Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
- Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
- Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
- Facilitate a dynamic, collaborative, and positive classroom community.
- Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.
Data Analytics Engineer
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Join to apply for the Data Analytics Engineer role at Internal Security Department
What The Role Is
ISD confronts and addresses threats to Singapore’s internal security and stability. For over 70 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure, and sovereign for all Singaporeans.
We utilise state-of-the-art technology and technical know-how to safeguard Singapore’s security and sovereignty. We need highly motivated Data Analytics Engineers to design and build powerful data science and analytics tools required to conduct data mining and facilitate data-driven decision making.
Besides being passionate about data, analytics, and software engineering, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse, and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.
What You Will Be Working On
- Design, develop, deploy, and maintain analytics solutions that allow internal business teams to make data-driven decisions
- Evaluate, adopt, integrate, and build on open-source and commercial analytics tools
- Work closely with end users, data scientists, data engineers, and project managers in the planning, development, and delivery of solutions
- Evaluate, maintain, and optimize code for accuracy, performance, maintainability, and scale of data queries, machine learning models, and data visualizations
- Recommend and evaluate technologies to introduce new analytics capabilities
What We Are Looking For
- Applicants with no experience may apply
- Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
- Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
- Competent in at least one programming language (e.g., Python, Java, JavaScript, C/C++, C#, SAS, R, Scala). Interest and ability to gain expertise in other programming languages, frameworks, and technologies.
- Familiarity with one or more database querying languages (e.g., SQL, Pig, Hive, SparkQL).
- Knowledge and experience with any of the following would be an advantage:
- Machine learning (e.g., predictive analytics, natural language processing)
- Data analytics (e.g., descriptive statistics, modeling)
- Big data technologies (e.g., Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
- Web development (e.g., HTML, CSS, JavaScript, PHP, Python, Ruby on Rails)
- Data visualisation (e.g., UX/UI design, PowerBI, D3, Tableau)
- System administration (e.g., OS, networking, databases)
- Container technologies (e.g., Docker, Kubernetes)
We wish to inform you that only shortlisted candidates will be notified.
Seniority level- Entry level
- Full-time
- Information Technology
- Government Administration and Industrial Machinery Manufacturing
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#J-18808-LjbffrData Analytics Engineer
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Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)
Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)
Get AI-powered advice on this job and more exclusive features.
Who We Are
As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.
Who We Are
As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.
We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.
Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.
For more information on Singapore University of Social Sciences, please visit The Job
We are seeking a versatile and motivated individual to join our team as a Data Analytics Engineer (Entry Level). In this role, you will build and maintain scalable data pipelines, develop and deploy machine learning (ML) models, and support the university’s data-driven initiatives using tools such as Microsoft Fabric, Azure Machine Learning, and Power BI. In addition to data and ML development, you will also serve as an administrator of Microsoft Fabric, the university’s cloud analytics platform—ensuring efficient operations, governance, and user support. This position is ideal for individuals who enjoy working across the full data and ML lifecycle—from wrangling raw datasets to training models and supporting strategic decisions through analytics. You will be part of a collaborative, in-house data team addressing meaningful challenges in education and operations.
What You Will Be Doing
Key Responsibilities:
Data Engineering & Machine Learning Development
- Design, build, and maintain scalable data pipelines using Microsoft Fabric components (e.g., Data Pipelines, Dataflows) and PySpark.
- Ingest, clean, and transform data from diverse sources such as APIs, flat files, and databases.
- Operate within the Lakehouse architecture to ensure reliable, well-governed data delivery.
- Design, train, and evaluate models for classification, prediction, and segmentation use cases.
- Perform feature engineering, model tuning, and validation.
- Deploy models in collaboration with analytics specialists and contribute to building reusable ML feature stores.
- Ensure data quality, documentation, and lineage are maintained across workflows.
- Act as the primary administrator for Microsoft Fabric, overseeing workspace, capacity, and permission management.
- Monitor usage, performance, and cost metrics; troubleshoot and optimise resource allocation.
- Support onboarding of university teams to Microsoft Fabric and maintain security and compliance standards.
- Manage workspace hygiene, archival, and governance enforcement across all Fabric artefacts.
- Collaborate with the data warehouse team, analytics specialists, AI engineers, and domain users to deliver structured datasets and model outputs.
- Assist in building and refining Power BI datasets and dashboards for decision-making support.
- Possess a degree in Data Science, Business Analytics or related.
- Proficiency in SQL and Python, including libraries such as Pandas, Scikit-learn, and PySpark.
- Strong interest or hands-on experience in end-to-end ML development (from data prep to deployment).
- Familiarity with Microsoft Fabric components (e.g., Lakehouse, Data Pipelines, Dataflows).
- Exposure to Power BI or equivalent BI/visualisation tools.
- Microsoft Fabric certification (or willingness to obtain one).
- Exposure to Azure Machine Learning or similar ML model lifecycle platforms.
- Practical experience (via internships, coursework, or projects) in data engineering or ML model development.
- Understanding of higher education data or student analytics scenarios.
- Curious and self-driven with a growth mindset.
- Able to clearly explain technical concepts to both technical and non-technical audiences.
- Strong attention to detail and a methodical, structured approach to solving problems.
At SUSS, we advocate the Spirit of Learning and pride ourselves as lifelong learners. You will gain access to various learning platforms and plenty of development opportunities to support your growth in a meaningful career!
Besides That, You Will Also Get
- Competitive Pay Package
- Hybrid Work Arrangement (Subject to Job Role)
- Medical Benefits
- Flex Benefits
- Family Care Leaves
- Volunteer Service Leaves
- Wellness & Recreation Activities
- Lifelong Learning Opportunities
- Career Development Opportunities through Internal Job Postings and Transfers
- Seniority level Entry level
- Employment type Full-time
- Job function Information Technology
- Industries Higher Education
Referrals increase your chances of interviewing at Singapore University of Social Sciences (SUSS) by 2x
Sign in to set job alerts for “Data Engineer” roles. Junior Data Analyst - Business Intelligence, Regional Operations Internship, Technology (ML/Data Engineer) May/June - December 2025South East Community Development Council, Singapore 4 days ago
Information Technology - Data & Analytics Engineer Internship, Technology (Data Engineer) May/June to December 2025South East Community Development Council, Singapore 4 days ago
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