280 Lead Data Scientists jobs in Singapore

HR

Job description:

• Scheduling and arranging of appointments
• Guide clients with data given
• Evaluate data given and create portfolio for clients

Work from home

No prior experience required

Confident and willing to learn

Polite to customers when calling them

Team-player

Able to listen to instructions

INTERESTED CANDIDATES CAN EMAIL THEIR INTEREST TO : worklifebalance82

Working Days: 5 days across Monday - Sunday

Location: Central

Contract Period: immediate till Dec 2025 (Yearly renewable based on performance and business needs)

Job Responsibilities:

• Become a specialist in project content, objectives, and deliverables.
• Offer comprehensive support to designated participants, ensuring timely and accurate information gathering.
• Develop a deep understanding of participant's business operations and procedures to facilitate effective information gathering.
• Build strong relationships by addressing participant concerns and challenges.
• Gather information through outbound calls, email exchanges, and on-site visits.
• Maintain consistent communication with participants and stay informed about new contacts.
• Accurately compile, record, and input information into the system, including thorough case documentation.
• Implement strategies and initiatives to improve participation rates.
• Generate monthly progress reports on completion status and service level achievements for reporting officers.
• Provide information analysis and progress predictions to management and stakeholders.
• Assist in investigating escalated issues when required.
• Perform other duties as assigned.

Job Requirements:

• Degree in a relevant field.
• Experience managing large employee-based accounts is a plus.
• Proficiency in MS Word and Excel for reporting and progress tracking.
• Strong verbal communication skills are essential for daily tasks.
• Ability to communicate effectively and manage interactions across different organizational levels, both internally and externally.
• Detail-oriented and thorough in task execution.
• Successful completion of a training course and assessments is required before operational deployment.
• Singaporeans only.

By sending us your personal data and CV, you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for account creation in GO and the purposes set out in the Privacy Policy . You acknowledge that you have read, understood, and agree with GO’s Terms of Use and the Privacy Policy. If you wish to withdraw your consent, please email us at Please feel free to contact us if you have any queries. Suzana Binte Slemat (EAP No. R ) EA Licence No. 01C4394

Are you passionate about enhancing workers’ employment and employability? Can you connect workers with employers through job-matching, career guidance, and skills upgrading? Ready to collaborate on recruitment, training, and job redesign to support nationwide skills development?

If your answers are “yes”, we want you to join us and make a significant impact on the employment and employability landscape today!

We are seeking a highly effective Assistant Director to join our Planning, Strategy and Data Analysis Team in our department dedicated to employment and employability!

In this role, you will support NTUC’s sub-department. You will contribute individually and assist your Deputy Director in managing and mentoring a small team. Your responsibilities will include facilitating discussions, developing measures and creating strategies to meet the organisation’s needs and perform corporate reporting. You should excel at communicating and engaging multiple stakeholders, including government agencies, conducting evidence-based studies and analysis, and moving strategies into implementation.

Job Responsibilities

• Negotiate, coordinate, and liaise with internal and external stakeholders, including the Ministry of Manpower (MOM) and Workforce Singapore (WSG).
• Assist your Deputy Director to conceptualise and conduct studies of industry groups, worker segments, overall employment and employability landscape, and/or ad hoc studies as requested, to identify trends, threats, and opportunities. Help edit, vet, and/or craft compelling stories and data-driven recommendations from findings or insights to be presented to various stakeholders.
• Assist your Deputy Director to support senior management with new matters that arise by making sense of emerging issues and gaps that do not fit neatly into clear categories, as well as corporate and strategy matters, including monitoring and tracking KPIs; preparation for external meetings with government agencies; analysing developments that impact the organisation.
• Supervise, organise, and support annual corporate planning sessions and seminars (and ad hoc brainstorming sessions) to conceptualise overall workplan and communicate corporate strategy, provide analysis and insights to support and guide management in decision-making.
• Oversee, prepare, and present regular reports and topical presentations to senior management, including NTUC senior management.
• Oversee, plan for, maintain, and track clean data to be used for data analysis.
• Other duties as required to support organisation’s goals.

Job Requirements

• Good interpersonal and negotiation skills
• Excellent analytical, writing, and communication skills
• Project management, problem-solving, and leadership skills
• Meticulous, self-driven, and able to multi-task
• Experience in team leadership
• At least 10 years’ experience in planning/policy, consultancy, or strategy formulation and working with data

Designation and salary will commensurate with experience.

We will only contact shortlisted candidates.

Mid-Senior level

Full-time

Consulting, Strategy/Planning, and Writing/Editing

Non-profit Organizations and Staffing and Recruiting

Job Responsibilities

1. Strategic Planning & Business Enablement

2. Develop and implement group-level business intelligence (BI) and data insights strategies, establish a data-driven decision-making system, and drive business growth and operational efficiency improvement.

3. Gain deep insights into automotive smart technology industry trends, identify data value points, and deliver actionable data solutions for product development, supply chain optimization, marketing, and other business units.

2.Data Governance & Compliance

• Establish enterprise-level data governance frameworks to ensure data quality, security, and compliance with China's Data Security Law and Personal Information Protection Law (PIPL).

• Develop data asset management systems and promote cross-departmental data standardization and sharing mechanisms.

• Business Insights & Decision Support

• Generate high-value insight reports through in-depth analysis of user behavior, market trends, and competitor data to support executive-level strategic decision-making.

• Design and monitor core business metrics (e.g., user conversion rates, supply chain costs, product lifecycle), and build real-time visual dashboards.

Job Requirements

1. Bachelor's degree or above.

2. Technical Expertise: Proficient in BI tools (Tableau/Power BI/Superset), SQL/Python/R, familiar with big data ecosystems (Hive/Spark/Kafka) and cloud platforms (AWS/Azure/Alibaba Cloud).

3. Industry Experience: Hands-on experience in data-driven insights within automotive, smart hardware, or advanced manufacturing sectors, with familiarity in scenarios like connected vehicles, user profiling, and supply chain optimization.

4. Cultural Fit

5. Align with ECARX's mission of "Reshaping Automotive Intelligence"; demonstrate entrepreneurial spirit and a global mindset.

6. Proficient in English as a working language.

At Atomionics, we build quantum gravimeters that are set to revolutionize the resource exploration industry. We are looking for a motivated intern with experience in time-series machine learning to contribute to the development of our high-performance sensors.

Responsibilities

• Design and implement a machine learning model to map time-series data from support sensors to our quantum gravimeter data.

• Evaluate model performance on both synthetic and experimental datasets.

• Work closely with our multidisciplinary team to validate results and address challenges such as limited data coverage or overfitting.

• Visualise the performance of the model as well as intermediate outputs.

Qualifications

• Education background physics, engineering, or data science is highly desirable.

• Hands on experience with neural networks applicable to time-series data

• Strong Python programming skills: NumPy, SciPy, pandas, visualization packages

• Proficient with ML libraries such as PyTorch/TensorFlow/Keras, etc.

• Familiar with signal processing basics: Fourier transform, windowing, filtering

• Analytical mindset

What can we offer you

• A chance to learn about the intricacies of deep tech research, product development, and strategy in a high-growth startup
• Work on the cutting edge of quantum technology
• A book allowance to help you grow and collectively build the Atomionics library
• Board games and curry night

About Us

iCOMPASS Pte. Ltd. is a Singapore-headquartered RegTech company and spin-off from a leading advisory firm. iCOMPASS develops the world's first AI-powered compliance operating system designed for financial institutions. Designed in Singapore and built for global scalability, iCOMPASS is redefining how the financial industry approaches compliance in the age of AI.

Built at the intersection of regulatory expertise and cutting-edge technology, iCOMPASS transforms compliance from a reactive obligation into a proactive governance framework. With a vision to make regulatory compliance accessible, seamless, and adaptive, iCOMPASS empowers financial institutions of all sizes to reduce cost, mitigate risk, and enhance productivity.

Roles & Responsibilities

The successful candidate will design, build, and optimize LLM-driven solutions that support regulatory compliance, risk management. This role requires a deep understanding of both machine learning/NLP systems and compliance frameworks. The following summarises the scope of work:

• Model Development & Deployment

• Develop custom pipelines integrating structured (databases, transactions) and unstructured (news, documents, chat logs) data for compliance workflows.

• Implement explainability and interpretability layers to meet regulatory expectations.

• Compliance & Risk Applications

• Build systems that detect and classify financial crime risks (PEPs, RCAs, UBOs, sanctions exposure).

• Automate compliance document processing, regulatory reporting, and policy interpretation.

• Work closely with compliance officers to translate regulatory obligations into machine-executable rules.

• Systems Integration

• Deploy LLM-powered applications into enterprise-grade financial compliance platforms.

• Ensure robustness, scalability, and security of deployed models in production environments.

• Collaborate with engineering teams to integrate APIs, knowledge graphs, and third-party datasets.

• Research & Innovation

• Stay current with LLM advancements (RAG, fine-tuning, agents) and evaluate their applicability to compliance.

• Prototype tools for proactive risk detection and regulatory change monitoring.

• Others: Assist in ad-hoc projects or initiatives as assigned by management.

Requirements:

• Bachelor's Degree in Computer Science and any other relevant disciplines
• Strong analytical skills with the ability to assess risk and regulatory impact
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and presentation skills

Why Join Us?

• Engage in exciting projects to enhance compliance processes through innovation.
• Collaborative and dynamic work environment with opportunities for growth.
• We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
• If you are looking to create impact in the regulated industry through technology transformation, this job is for you

If you are passionate about cross-pollinating regulatory compliance and technology, and enjoy problem-solving in a fast-paced environment, we invite you to apply for this role

We are seeking an experienced Machine Learning / AI Engineer to drive innovative digital initiatives across global projects. In this role, you will design, build, and deploy end-to-end machine learning solutions that are scalable, reliable, and compliant with AI governance and regulatory standards.

Key Responsibilities

• Collaborate with data scientists and business teams to define and implement ML solutions.
• Develop and deploy production-grade models using MLOps best practices (CI/CD, versioning, monitoring).
• Build and maintain data and model pipelines for scalability and performance.
• Ensure compliance with responsible AI, governance, and audit requirements.
• Automate retraining, testing, and monitoring of deployed models.
  Partner with DevOps, IT, and security teams for seamless integration.

Qualifications

• Master's degree in AI, ML, or Data Science.
• 6+ years in data science and ML, including 3+ in ML engineering.
• Proficiency in Python (pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with MLOps tools (MLflow, Airflow, Kubeflow, etc.) and cloud platforms (AWS, Azure, GCP).
• Knowledge of CI/CD, Docker, Kubernetes, and NoSQL databases.
• Strong understanding of AI governance, model risk, and compliance.
  Excellent communication and problem-solving skills.

Preferred: Experience with Responsible AI, bias testing, feature stores, and data privacy in regulated sectors.

For a confidential discussion, please reach out to me at

Personal data collected will be used for recruitment purposes only.

Only shortlisted candidates will be notified / contacted.

EA Registration No: R

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: E with EA license number 16S8086.

Website:

• Have Master's degree in the field of AI / ML and data science with proven ability to design and develop models

• 6+ years of experience in data science and machine learning, with at least 3+ years in ML engineering roles.

• Proven experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.

• Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, etc.).

• Strong knowledge in NoSQL databases (any experience in Graph database is desirable)

• Experience with MLOps tools: MLflow, TFX, Airflow, Kubeflow, or similar.

• Familiarity with cloud platforms (GCP, AWS, or Azure) for ML deployment.

• Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.

• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).

• Strong understanding of AI governance, model risk management, and regulatory requirements in AI.

• Ability to communicate technical concepts to non-technical stakeholders.

Support Project/System implementation of Machine Learning Suite (MLS)

Ensure solution design complies with enterprise design principles, security and control standards

Convert business requirements to design document and other system documentation to capture key design decisions

Able to conduct data mapping and process mapping with interfacing applications

Create technical documents for the solutions

Conduct root cause analysis of issues, review new and existing code and/or perform unit testing

Work with Test Management teams to complete SIT/UAT as planned

Manage project change request approval windows and deployment schedule

Facilitate and provide technical and testing support before and after production deployment

Manage external vendors for project delivery within schedule

a, Experience end-to-end projects for system implementation of Machine Learning Suite (MLS)

b. Strong in driving project deliverables, actively tracking timelines, escalating issues when needed, and ensuring accountability across teams.

c. Strong in Project Management, Financial Management, Application Management, Risk and Issue Management, Change Management and Resource Management

d. experience in application architecture, development, system integration and software design

e.Experience in Production Support Management, Incident and Problem Management

f. Knowledge in networking, firewall, data migration, password encryption, SSO integration, and disaster recovery planning and testing

Job Type: Contract

Contract length: 12 months

Benefits:

• Health insurance

Work Location: In person