600+ Data Scientist Jobs - October 2026 - Urgent Hiring - Page 9

Showing 618 jobs results for "data scientist"
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Singapore

  • Algorithms Engineer
  • PhD Holder Only
  • 5 Work Days Per Week ...
Posted
5 days ago

KL City

  • Design and calibrate risk rules and decision frameworks for fraud and credit risk mitigation across e-wallet products, including merchant risk monitoring and BNPL onboarding assessments.
  • Leverage AI-powered tools (e.g., LLM assistants, AI code copilots, generative AI) as part of the day-to-day analytics and modelling workflow — from exploratory data analysis and feature engineering to report generation and documentation.
  • Analyze large-scale transaction datasets to uncover fraud patterns, merchant risk indicators, and anomalous user behaviours using SQL-based analytics on cloud data platforms. ...
Posted
24 days ago

Ang Mo Kio

Posted
25 days ago

Singapore

  • Lead and collaborate with data scientists and analysts to drive innovation, knowledge sharing, and continuous improvement.
  • Design, develop, and deploy robust analytical and machine learning models using advanced statistical techniques.
  • Partner with business and technical stakeholders to identify key challenges and translate them into data-driven solutions. ...
Posted
24 days ago

Singapore

  • Agentic AI Development: Design and develop agentic AI applications leveraging Large Language Models (LLMs), multi-agent frameworks, and orchestration platforms.
  • AI Agent Engineering: Build, test, and optimize AI agents capable of autonomous reasoning, planning, tool usage, and task execution.
  • Systems Integration: Integrate AI agents with enterprise systems, APIs, databases, and business workflows to enable real-world use cases. ...
Posted
17 days ago

Singapore

  • Lead Data Science Initiatives: Drive AI/ML initiatives supporting Singtel’s product and service offerings by working closely with stakeholders from Marketing, Product, and external partners. Define problem statements and architect end-to-end solutions—including the use of Generative AI and LLMs where applicable—to align with strategic objectives, regulatory requirements, and partner needs.
  • Model Development & Integration: Design, build, and productionize analytical models that enable intelligent decisioning within customer journeys. Integrate these models into customer-centric decision engines while championing best practices around model governance, scalability, explainability, and continuous performance monitoring.
  • Customer Behavior & Lifecycle Analysis: Leverage customer behavioral data across Singtel’s Mobile, Broadband, and entertainment services to uncover actionable insights. Maintain and enhance analytical models that inform segmentation, product targeting, and value-based engagement strategies. Enable data exploration, insight discovery, and controlled experimentation (e.g., A/B testing, uplift modeling) to support lifecycle marketing and campaign optimization. ...
Posted
10 days ago

KL City

  • Perform analyses to understand how our users interact with our products and how to improve our products
  • Communicate findings to stakeholders in a clear and concise manner
  • Identify anomalies and investigate the root causes of anomalies ...
Posted
21 days ago

Singapore

  • Background in data science, statistics, machine learning, or related quantitative disciplines with demonstrated experience applying analytical techniques to both structured and unstructured datasets
  • Proficiency in Python and SQL for data analysis, modeling, and data pipeline development, with experience in machine learning model deployment or productionization
  • Experience with unstructured data processing, particularly text or language data using natural language processing, language models, or text analytics techniques ...
Posted
2 days ago
  • Perform exploratory data analysis on enterprise datasets to identify trends, patterns, anomalies, and opportunities.
  • Develop analytical frameworks to support operational, commercial, and strategic decision-making.
  • Translate business problems into analytical questions, hypotheses, and measurable outcomes. ...
Posted
21 days ago

Singapore

  • Prepare decision-ready data. Combine authorized primary research, market sources and enterprise inputs. Standardize units, time periods and definitions; resolve duplicates, missing values and outliers; retain source lineage and data-quality tests.
  • Build and compare models. Develop baselines and suitable forecasting, segmentation, scoring or optimization models. Document the business target, assumptions and limits; select complexity only where it improves validated performance or decision usefulness.
  • Validate and simulate. Use suitable time-based or held-out testing; check sampling bias, leakage and sensitivity. Quantify uncertainty where supportable; distinguish analyst scoring, statistical prediction and causal inference. ...
Posted
12 days ago

Singapore

Posted
25 days ago

Singapore

  • Terms of employment / engagement shall be subject to contract and local applicable laws
  • Shape the future with the world's leading blockchain ecosystem
  • Work alongside world-class talent in a user-centric, flat, global organization ...
Posted
12 days ago

Singapore

Posted
23 days ago

KL City

  • Clean, standardise, validate, and reconcile large datasets from multiple internal systems.
  • Identify missing, duplicated, inconsistent, abnormal, or incorrectly mapped data.
  • Investigate root causes of data discrepancies across CRM, trading systems, payment systems, KYC systems, and other data sources. ...
Posted
6 days ago
  • You will collaborate with stakeholders to identify the business problems and requirements about driver repositioning, activation and incentivisation.
  • You will translate the business problems into data science problems, formulate them and design potential solutions.
  • You will retrieve and analyse relevant data for exploratory analysis, feasibility studies, and solution prototyping. ...
Posted
a month ago
  • Business Advisory & Data Quality Consulting: Partner closely with data creators, stewards, consumers, and IT teams to establish data quality dimensions, rules, and indicators that ensure our data remains usable, timely, robust, and compliant
  • Framework & Policy Design: Design and maintain policies, methodologies, guidelines, and metrics for data quality, profiling, and cleansing
  • Rule Definition & Profiling: Collaborate with business stakeholders to identify critical data attributes, profile datasets, analyze requirements, and translate business logic into automated data quality rules ...
Posted
20 days ago

Singapore

  • Own the end-to-end modeling and estimation behind promotion optimization — elasticity, heterogeneous treatment effects, budget-constrained allocation, and increamentality — from problem framing to production.
  • Advance our causal inference stack: experiment and quasi-experiment design (geo/switchback tests, holdouts, diff-in-diff, synthetic control), debiasing observational data, and variance reduction — raising the bar on experimentation rigor across the team.
  • Design and productionize heterogeneous treatment effect (uplift) models at scale (tens of millions of users), with honest offline evaluation (uplift/Qini curves, policy-value estimation). ...
Posted
a day ago

Singapore

  • Shape the future of finance
  • Collaborate with world-class talent in a user-centric global organization with a flat structure
  • Tackle challenging projects in a fast-paced and innovative enviornment with autonomy ...
Posted
3 days ago

Singapore

  • Work with data like images, videos, audio, and text etc.
  • Design, train, optimize, and deploy deep learning models with GPU.
  • Develop comprehensive unit tests and documentation, and rigorously evaluate and benchmark model performance and quality. ...
Posted
14 days ago

Singapore

  • Build and operate shared AI platforms: a multi-provider LLM gateway, an agent orchestration layer, an evaluation and monitoring layer, and a staff assistant.
  • Deliver LLM and agent applications for business units, from prototype to live service with measurable business results.
  • Evaluate AI systems: build test sets; measure groundedness, factual accuracy, task-success rate, safety, latency, reliability and model or data drift; define release gates and rollback criteria; manage model upgrades and retirements. ...
Posted
5 days ago
  • You will partner with product, design, and engineering teams to obtain insights, design experiments, and guide important product decisions.
  • You will support strategic plans with data insights, performing deep-dives into user behaviour, segmented views and product efficacy.
  • You will provide tailored analysis for specific products and strategies, define critical business and product metrics, and make regular recommendations for continuous improvements. ...
Posted
19 days ago

Singapore

  • Design and optimise hybrid lexical–semantic retrieval pipelines (e.g., BM25, dense vectors, HNSW/LSH, generative retrieval) to improve precision and recall across GoFood and GoPay surfaces.
  • Build high-quality embeddings and relevance signals that capture user intent, cuisine and dish semantics, geolocation, delivery constraints, price sensitivity, and promotions.
  • Develop multi-task deep ranking models that balance conversion, diversity, merchant quality, and long-term user retention, integrating real-time signals such as promotions, surge, and stock availability. ...
Posted
a month ago

Singapore

  • Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions.
  • Rapidly prototype data science solutions and be involved in product and feature discussions
  • Analyze large volume data and generate insights which will be actionable. ...
Posted
17 days ago

Singapore

Posted
19 days ago

Singapore

  • Build and operate shared AI platforms: a multi-provider LLM gateway, an agent orchestration layer, an evaluation and monitoring layer, and a staff assistant.
  • Deliver LLM and agent applications for business units, from prototype to live service with measurable business results.
  • Evaluate AI systems: build test sets; measure groundedness, factual accuracy, task-success rate, safety, latency, reliability and model or data drift; define release gates and rollback criteria; manage model upgrades and retirements. ...
Posted
8 days ago

Singapore

  • Master’s or Ph.D. degree in a relevant technical discipline.
  • Strong expertise in deep learning and proficiency with at least one leading deep learning framework.
  • Experience developing and managing MLOps pipelines and end-to-end machine learning lifecycles. ...
Posted
2 days ago

Singapore

  • Participate in the design and development of algorithm strategies for user growth, including but not limited to user segmentation, intelligent recommendation, and incentive strategy optimization.
  • Build user lifecycle models (LTV prediction, churn warning, conversion prediction, etc.) based on user behavior data to drive precision operations and decision-making.
  • Design and implement A/B testing experiments to evaluate the effectiveness of growth strategies and drive continuous iteration and optimization. ...
Posted
3 days ago

Singapore

Posted
3 days ago

Singapore

  • Develop, test and maintain data analytics, machine learning and AI-assisted automation solutions using tools such as Python, SQL, Power BI, Power Automate, Alteryx or similar technologies.
  • Perform data extraction, cleansing, transformation, validation and exploratory analysis to support audit, assurance and internal innovation use cases.
  • Support the development of AI and machine learning prototypes, including feature engineering, model evaluation, prompt engineering, retrieval-augmented generation concepts and responsible use of large language models where applicable. ...
Posted
20 days ago

Singapore

  • Analyse large operational datasets to identify patterns, anomalies, outliers and risk indicators
  • Develop approaches for anomaly detection, clustering, segmentation and risk scoring
  • Build supervised machine-learning models where historical outcomes or labelled cases are available ...
Posted
4 days ago