Filter Jobs

Experience:

5 years required

Skills:

Project Management

Job type:

Full-time

• Manage and oversee environmental engineering projects from planning through execution and commissioning.
• Understand and supervise systems related to water treatment, wastewater treatment, water recycling, and odor treatment.
• Review engineering drawings, calculation sheets, specifications, and material/equipment selections.
• Lead project meetings and monitor project progress to ensure alignment with project schedules and objectives.
• Analyze project issues, propose corrective actions, and prepare project progress reports.
• Coordinate with internal departments, external stakeholders, suppliers, and contractors.
• Conduct site evaluations and prepare project cost estimation and budgeting details.
• Ensure project quality, safety, timeline, and cost control are managed effectively.
• Support on-site problem solving and provide technical recommendations when required.
• Bachelor's Degree in Environmental Engineering, Civil Engineering, or related fields.
• Minimum 10 years of working experience in Environmental Engineering projects.
• At least 5 years of experience in Project Management.
• Strong knowledge of water treatment, wastewater treatment, recycling water systems, and environmental utility systems.
• Good project management skills covering project planning, cost control, quality management, and timeline management.
• Strong analytical thinking and problem-solving skills.
• Ability to work systematically and handle site issues effectively.
• Good communication, coordination, and presentation skills.
• Leadership skills with strong sense of responsibility and teamwork.
• Able to work under pressure and manage multiple stakeholders.
• Preferred Qualifications.
• Proficient in MS Office applications (Word, Excel, PowerPoint).
• Able to use AutoCAD and/or SketchUp.
• Good command of English communication both written and spoken.
• Detail-oriented, proactive, and highly responsible.
• Able to travel domestically and internationally.
• Possess own vehicle and valid driving license.

Experience:

5 years required

Skills:

ISO 14001, Teamwork, ISO 9001, English

Job type:

Full-time

• Do you have hands-on experience with HSE systems in a manufacturing environment?.
• Are you motivated by creating a safe and compliant workplace that protects lives every day?.
• Do you want to be part of a global company where safety is at the core of everything we do?.
• If you can say yes to the above, then you might be the one we are looking for as our.
• HSE Officer.
• About VIKING.
• At VIKING, we live by saving lives. We are proud to be a world-leading supplier of safety products, solutions, and services to the global maritime industry. Our equipment contributes to safety on everything from large cruise and container ships to offshore platforms, ferries, fishing vessels, and superyachts.
• Safety is at the core of everything we do, and our mission is to protect and save human lives.
• As.
• HSE Officer., you will be part of the QHSE organization at our manufacturing site in Thailand, working closely with cross-functional teams to ensure a safe, compliant, and sustainable working environment.
• You will work both independently and in close cooperation with colleagues across the organization.
• Tasks and Responsibilities.
• Ensure compliance with all applicable health, safety, and environmental laws, regulations, standards, and guidelines.
• Coordinate safety activities, training, and awareness programs with internal and external stakeholders.
• Monitor and evaluate HSE processes and recommend continuous improvements.
• Conduct workplace risk assessments, inspections, and monthly safety rounds.
• Maintain incident investigation records, reports, and HSE statistics.
• Manage environmental aspects and chemical hazard systems, including MSDS.
• Implement and maintain ISO 45001 and ISO 14001 management systems.
• Your Profile.
• A Bachelor's degree in Occupational Health & Safety, Environmental Science, Safety Engineering, or a related field.
• At least 5 years of HSE experience in a manufacturing environment.
• Certified Safety Officer (จป.) in accordance with Ministry of Labour requirements.
• Hands-on experience with ISO 9001, ISO 45001, and ISO 14001.
• Strong communication skills and the ability to work across functions.
• A structured, practical, and proactive working approach.
• Since our corporate language is English, you have strong English skills, both written and spoken.
• VIKING Offers.
• VIKING offers an attractive position where you will have the opportunity to develop professionally in close collaboration with dedicated colleagues who value job satisfaction, teamwork, and a positive working environment.
• As a global organization, the majority of our activities support customers around the world. We foster a strong company culture that values diversity and recognizes the unique contribution of each individual. At VIKING, we invest in our employees and provide long-term career opportunities within an international organization.
• Do you want to be part of VIKING? All applications must be submitted online via the.
• Send application".
• button in the job advertisement. Interviews are conducted on an ongoing basis, and we therefore encourage you to submit your application and CV as soon as possible. All applications are handled with strict confidentiality.
• The start date is as soon as possible; however, we are willing to wait for the right candidate.
• If you have any questions regarding the position or VIKING, please contact.
• Khun Rachaneekorn Pimpirat (HR Manager).
• at +.
• 66 -- --- 138.
• Learn more about VIKING at.
• www.viking-life.com.
• JOIN VIKING - YOUR CAREER IS SAFE WITH US.

Experience:

3 years required

Skills:

Safety Management

Job type:

Full-time

• บริหารและติดตามระบบความปลอดภัยด้านการขนส่ง (Logistics Safety) ผ่านศูนย์ควบคุม (LCC) เช่น Warning, Alert, Unsafe, Near Miss และพฤติกรรมการขับขี่.
• วิเคราะห์ความเสี่ยงด้านการขนส่งและหน้างาน พร้อมให้คำแนะนำด้านความปลอดภัยแก่หน่วยงานที่เกี่ยวข้อง.
• จัดทำ ปรับปรุง และติดตามการปฏิบัติตามมาตรฐานด้านความปลอดภัยในการขนส่ง.
• รวบรวม วิเคราะห์ และจัดทำรายงานผลการดำเนินงานด้านความปลอดภัยเพื่อนำเสนอผู้ที่เกี่ยวข้อง.
• บริหารระบบความปลอดภัยในการใช้รถของบริษัท (Road Safety) พร้อมกำหนดแนวทางป้องกันและลดการเกิดอุบัติเหตุ.
• พัฒนาระบบติดตามและส่งเสริมความรู้ด้านการขับขี่ปลอดภัยแก่ผู้ปฏิบัติงาน.
• สนับสนุนการเตรียมความพร้อมและบริหารจัดการเมื่อเกิดเหตุการณ์ด้านความปลอดภัยหรือภาวะวิกฤต.
• ตรวจเยี่ยมและ Check-in หน่วยงานก่อสร้างผ่านระบบ Site Insight ตามที่บริษัทกำหนด.
• สนับสนุนการแก้ไขปัญหาที่เกี่ยวข้องกับวัสดุก่อสร้าง SCG และประสานงานกับหน่วยงานที่เกี่ยวข้อง.
• สร้างความสัมพันธ์อันดีกับหน่วยงานก่อสร้างและหน่วยงานภายในที่เกี่ยวข้อง.
• จัดทำและนำเสนอรายงานหรือสรุปผลการดำเนินงาน (Executive Summary) ต่อผู้บริหารQualifications.
• ปริญญาตรีหรือปริญญาโท สาขาอาชีวอนามัยและความปลอดภัย หรือเป็นเจ้าหน้าที่ความปลอดภัยวิชาชีพ (จป.วิชาชีพ).
• มีประสบการณ์ด้านอาชีวอนามัยและความปลอดภัยอย่างน้อย 2-5 ปี.
• มีประสบการณ์ด้าน Logistics Safety Management อย่างน้อย 3 ปี.
• มีความรู้ด้าน Logistics Safety และ Road Safety.
• มีทักษะการวิเคราะห์และเชื่อมโยงข้อมูล.
• มีทักษะด้านการสื่อสาร การประสานงาน และการนำเสนอ.
• มีมนุษยสัมพันธ์ดี กระตือรือร้น พร้อมเรียนรู้ และสามารถทำงานเป็นทีมได้.
• สามารถปฏิบัติงานประจำที่สำนักงานบางซ่อน และเดินทางไปปฏิบัติงานต่างจังหวัดได้.
• หากมีความรู้ด้าน IT การจัดทำสื่อประชาสัมพันธ์ หรือมีความรู้ด้าน Transportation และ Logistics จะได้รับการพิจารณาเป็นพิเศษ.

Skills:

Automation

Job type:

Full-time

• Work with Business Analysts, Product Owners, Project Managers, and business users to understand manual processes, repetitive tasks, control points, handoffs, and pain points that can be simplified, automated, or redesigned.
• Translate business problems into practical data, analytics, AI, or automation use cases.
• Contribute ideas for new AI, technology, analytics, and automation initiatives aligned with Persistency Tribe priorities and transformation principles.
• Support prioritization of use cases by assessing business value, feasibility, data availability, complexity, and adoption readiness.
• Help define expected outcomes, success measures, user requirements, and practical implementation considerations.
• Build Data, AI, and Automation Solutions.
• Build and support practical tools for real business use cases, including prediction models, GenAI tools, text-to-SQL solutions, exception detection, data validation routines, dashboards, workflow automation, and scripts that reduce recurring manual effort.
• Support GenAI-assisted commentary and management narrative preparation by validating source data, checking consistency, and ensuring outputs are grounded in approved and reliable information.
• Test, validate, and refine outputs to ensure accuracy, usability, and business relevance before deployment or user release.
• Drive Adoption and Train Users.
• Help Persistency Tribe users build confidence in using data, AI, automation tools, dashboards, and GenAI solutions safely and effectively.
• Support preparation of practical training materials covering AI, data, analytics, automation, dashboards, GenAI usage, and responsible technology adoption.
• Assist in user clinics, demos, training sessions, knowledge-sharing activities, and hands-on support to improve adoption of new tools and ways of working.
• Create simple user guides, FAQs, use-case examples, prompt examples, and do-and-don't guidance for responsible AI and technology usage.
• Track usage, adoption, feedback, and pain points to identify opportunities for improvement.
• Support change champions and business users in embedding new tools and solutions into regular business processes.
• Collaborate, Govern, and Document.
• Maintain clear documentation for datasets, automation logic, analytical assumptions, model outputs, GenAI prompts, testing results, user guides, and solution handover materials.
• Support documentation required for usage tracking, auditability, data governance, AI governance, model governance, and responsible AI controls.
• Work closely with Business Analysts, Product Owners, Project Managers, Data Science, IT, Risk, Compliance, and business users to ensure deliverables are understood, adopted, and embedded into business processes.
• Participate in knowledge-sharing activities to uplift data, technology, automation, and AI capability of tribe members.
• Continuous Improvement and Capability Uplift.
• Identify opportunities to improve existing reports, processes, workflows, automation tools, analytical outputs, and user experiences.
• Support the standardization and reuse of data assets, analytical logic, automation components, prompt templates, and training materials.
• Stay informed about practical developments in analytics, automation, GenAI, and emerging technologies that may benefit Persistency Tribe transformation.
• Contribute to a culture of experimentation, responsible innovation, continuous improvement, and data-driven decision-making.
• Experience in insurance, finance, actuarial, agency, persistency, conservation, campaign, or customer analytics.
• Experience in transformation, product development, consulting, or business improvement initiatives where the candidate helped build a solution and drive user adoption.
• Knowledge of finance reporting, FP&A, controllership, actuarial processes, or insurance business operations.
• Experience with automation tools, self-service analytics platforms, workflow tools, or low-code/no-code platforms.
• Experience supporting GenAI use cases, prompt design, AI-assisted reporting, or data-driven narrative generation.
• Experience helping users through change, conducting training, preparing user guides, or supporting adoption of new tools.
• Familiarity with data governance, AI governance, model governance, information security, or audit requirements.
• เพื่อให้เป็นไปตามมาตรฐานและนโยบายการคัดสรรบุคลากรของบริษัท เอไอเอ (ประเทศไทย) หลังผ่านการคัดเลือกแล้ว ผู้สมัครต้องได้รับการตรวจประวัติอาชญกรรมก่อนเริ่มงาน ทั้งนี้ บริษัทจะเก็บประวัติอาชญากรรมของท่านตามนโยบายข้อมูลส่วนบุคคลของบริษัท รายละเอียดตามลิงค์แนบ [https://www.aia.co.th/th/about-aia/privacy/candidate].
• In accordance with recruitment policy and hiring standard of AIA (Thailand) Company Limited, after completing the selection process, you are required for criminal background check before joining the company. Your criminal record information will be retained according to the PDPA policy of the company. As per attached link [https://www.aia.co.th/th/about-aia/privacy/candidate].

Skills:

Big Data, Power BI, Python

Job type:

Full-time

• Data Modeling & Machine Learning: พัฒนา ทดสอบ และนำ Machine Learning Models ไปใช้งานจริง (Production) เพื่อสนับสนุนการแก้ไขปัญหาและสร้างโอกาสทางธุรกิจ เช่น Sales Forecasting, Optimization, Fraud Detection และ Use Cases อื่น ๆ ที่เกี่ยวข้อง.
• Advanced Analytics: วิเคราะห์ข้อมูลโดยใช้เทคนิคทางสถิติขั้นสูงและ Algorithms เพื่อค้นหารูปแบบ (Patterns) ความสัมพันธ์ และข้อมูลเชิงลึกจากข้อมูลขนาดใหญ่ (Big Data) ตั้งแต่ขั้นตอน Data Exploration ไปจนถึง Advanced Analytics.
• Dashboard & Reporting: พัฒนา ดูแล และปรับปรุง Dashboard ด้วย Power BI เพื่อใช้ติดตาม ...
• Business Analysis: วิเคราะห์ข้อมูลเพื่อค้นหา Insights แนวโน้ม (Trends) โอกาสทางธุรกิจ และสาเหตุของปัญหา เพื่อสนับสนุนธุรกิจต่าง ๆ ภายใน BCP Group เช่น Marketing, Refinery, Solar, Biofuel และธุรกิจอื่น ๆ ที่เกี่ยวข้อง.
• Data Interpretation & Business Insights: แปลผลข้อมูลและผลการวิเคราะห์ให้เป็นข้อเสนอแนะที่สามารถนำไปปฏิบัติได้ (Actionable Insights) เพื่อเพิ่มรายได้ ลดต้นทุน หรือเพิ่มประสิทธิภาพในการดำเนินงานของธุรกิจ เช่น โรงกลั่นน้ำมัน สถานีบริการ และธุรกิจอื่น ๆ.
• Insight Communication: จัดทำ Data Visualization และนำเสนอผลการวิเคราะห์ที่ซับซ้อนให้อยู่ในรูปแบบที่เข้าใจง่าย สามารถสื่อสารกับผู้บริหารและหน่วยงานธุรกิจได้อย่างมีประสิทธิภาพ โดยสามารถใช้ Power BI ในการนำเสนอข้อมูลได้เป็นอย่างดี.
• Business Value Delivery: สามารถเชื่อมโยงผลงานด้าน Data & Analytics ให้เกิด Business Value ที่วัดผลได้ และรับผิดชอบ KPI ที่เกี่ยวข้องกับคุณค่าทางธุรกิจ เช่น Revenue Enhancement, Cost Saving, Productivity Improvement หรือ Efficiency Improvement..
• ปริญญาตรี/โท สาขาวิทยาการคอมพิวเตอร์, สถิติ, คณิตศาสตร์, วิศวกรรมศาสตร์ หรือสาขาที่เกี่ยวข้อง.
• ประสบการณ์ทำงานด้าน Data Analytics/Business Intelligence 1-3 ปี.
• ทักษะการเขียนโปรแกรม Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) อย่างดี.
• เชี่ยวชาญการใช้ SQL สำหรับดึงข้อมูลในระดับสูง.
• ทักษะในการใช้เครื่องมือ Visualization (Power BI).
• มีความเข้าใจบริบททางธุรกิจ (Business Acumen) และสามารถสื่อสารข้อมูลที่ซับซ้อนได้ดี..
• พฤติกรรมและคุณลักษณะที่คาดหวัง (Behavioral Competencies).
• Collaboration & Teamwork: มีทัศนคติในการทำงานเป็นทีม พร้อมให้ความร่วมมือและสนับสนุนเพื่อนร่วมงานเพื่อให้ทีมสามารถบรรลุเป้าหมายร่วมกัน.
• Business Mindset: สามารถมองงานด้าน Data & Analytics ในมุมมองของธุรกิจ และมุ่งเน้นการสร้างผลลัพธ์ที่สามารถนำไปใช้ประโยชน์และสร้างคุณค่าให้กับองค์กรได้จริง.
• Problem Solving: มีความสามารถในการวิเคราะห์ปัญหาอย่างเป็นระบบ สามารถค้นหาสาเหตุและนำข้อมูลมาใช้ในการพัฒนาแนวทางแก้ไขที่เหมาะสม.
• Communication: สามารถสื่อสารข้อมูลเชิงเทคนิคและผลการวิเคราะห์ให้ผู้ที่ไม่มีพื้นฐานด้าน Data เข้าใจได้อย่างชัดเจน.
• Ownership & Flexibility: มีความรับผิดชอบต่องาน มีความยืดหยุ่น และพร้อมสนับสนุนงานในช่วงเวลาที่จำเป็นเพื่อให้งานหรือโครงการสามารถดำเนินการได้ตามเป้าหมาย..
• ลักษณะและเงื่อนไขการทำงาน (Working Conditions).
• สามารถปฏิบัติงานประจำสำนักงานตามเวลาทำงานของบริษัท 5 วันต่อสัปดาห์.
• สามารถสนับสนุนงานด้าน Data Preparation, Data Loading, Data Cleansing หรือการนำระบบขึ้น Production นอกเวลาทำงานปกติหรือในวันหยุดได้เป็นครั้งคราว ตามความจำเป็นของโครงการ.

Experience:

5 years required

Skills:

Architecture, Python, SQL

Job type:

Full-time

• Architect Marketplace Mechanisms: You will own the economic logic for the main pillars of our platform (Supply, Growth, Pricing, or Dispatch). You will design the incentives and clearing mechanisms that keep our marketplace healthy and efficient.
• Decode Economic Behavior: You will build models to understand why users and partners make the choices they do. Your insights will move us beyond treating users as metrics, helping us build a more engaging, human-centric marketplace.
• Be the Authority on Causal Truth: You will apply quasi-experimental methods and stru ...
• Solve Big, Ambiguous Questions: You will help build the research agenda for the "unknowns" of our marketplace. You will investigate foundational topics like long-run market dynamics, system efficiency frontiers, and partner choice architecture to shape our multi-year vision.
• Simplify Strategy: You will distill immense complexity into clear, applicable mental models. You will partner with senior leadership to cut through the noise, helping them define the true goals and principles of the business.
• What Essential Skills You Will Need.
• Industry Experience: At least 5 years of experience with marketplace design, pricing strategy or economic consulting.
• Econometrics: Expertise in causal inference techniques like difference-in-differences and regression discontinuity.
• Structural thinking: ability to build models predicting market equilibrium and effects of pricing changes.
• Technical proficiency: SQL and statistical programming (R, Python) is necessary.
• Strategic Communication: ability to simplify complex economic concepts to partners and influence decisions.
• Experience with economic logic, structural thinking, and causal analysis, regardless of their tenure in industry.
• A Master's/PhD degree in Economics, or a related field is preferred.
• Additional Information.
• Life at Grab.
• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.
• What We Stand For at Grab.
• We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Skills:

Good Communication Skills, Tableau, Python, SQL, English, Thai

Job type:

Full-time

• Analytics Process & Framework Improvement:- Take end-to-end ownership of medium-sized analytics projects, defining methodologies to deliver reliable, scalable, and reproducible solutions.
• Contribute to analytics-wide frameworks and integrate operations/marketing workflows into established data solutions.
• Influence & Stakeholder Collaboration:- Collaborate with direct stakeholders and adjacent cross-functional teams to align data initiatives with operational goals.
• Communicate analytical solutions to mid-to-senior level partners, providing data-backed rationale to support decision-making.
• Data Solutions and Innovation:- Explore and propose workable, optimal solutions to challenges considering technical and operational constraints.
• Proactively address blockers within the team to keep projects moving forward.
• Mentorship & Team Growth:- Mentor junior analysts by sharing technical best practices, guiding problem-solving approaches, and helping them develop their analytical capabilities.
• Consistently seek out opportunities to improve personal technical skills and upgrade internal team processes and frameworks.
• What Essential Skills You Will Need.
• 4 years+ of analytical experience conjugated with business acumen, preferably in the e-commerce or the Internet industry.
• Bachelor's degree in Statistics, Analytics, Mathematics, Engineering or other quantitative subjects.
• Advanced experienced of analytical tools such as Excel (VBA, Pivot), database querying (SQL, Presto, Hive), visualisation and reporting tools (Tableau, PowerBI, Holistics).
• Advanced experience of programming languages (Python, R).
• Strong ability to work with complex data sets.
• Good communication skills to translate analytics specificities for all audiences.
• Full professional working proficiency in English is required, on top of fluency in Thai.
• Additional Information.
• Life at Grab.
• We have your back with Term Life Insurance and comprehensive Medical Insurance.
• With GrabFlex, create a benefits package that suits your needs and aspirations.
• Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave.
• We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
• Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours.
• What We Stand For at Grab.
• We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.

Skills:

Data Warehousing, Risk Management, Data Analysis, TensorFlow, Big Data

Job type:

Full-time

• Design, develop and deploy advanced machine learning and artificial intelligence models focused on financial risk analytics, credit risk assessment, market risk analysis and fraud detection.
• Lead the end-to-end data science lifecycle, from problem definition and data exploration through model validation, implementation and ongoing performance monitoring.
• Mentor and supervise junior data scientists and analytical staff, fostering a culture of excellence, continuous learning and collaborative problem-solving within the te ...
• Conduct comprehensive exploratory data analysis on large-scale financial datasets to identify patterns, anomalies and opportunities for predictive modelling.
• Develop robust statistical models and econometric frameworks to quantify and forecast financial risks across various asset classes and business segments.
• Create clear and compelling data visualisations and reports that translate complex analytical findings into actionable business recommendations for senior management and risk committees.
• Collaborate closely with risk management, compliance, trading and operations teams to understand business requirements and ensure analytical solutions align with strategic objectives.
• Establish and maintain rigorous model governance frameworks, including validation protocols, backtesting procedures and documentation standards to ensure regulatory compliance.
• Stay abreast of emerging trends, methodologies and technologies in financial AI, machine learning and risk analytics, and evaluate their applicability to our business.
• Optimise data pipelines and analytical infrastructure to enhance processing efficiency, scalability and data quality across analytical systems.
• What we're looking for.
• Master's degree or higher in Data Science, Machine Learning, Statistics, Mathematics, Physics, Computer Science or a related quantitative discipline.
• Minimum 7-10 years of professional experience in data science, machine learning engineering or advanced analytics, with at least 4-5 years specifically focused on financial services, risk analytics or quantitative finance.
• Demonstrated expertise in building and deploying machine learning models in production environments, with proficiency in supervised learning, unsupervised learning, ensemble methods and deep learning techniques.
• Strong proficiency in programming languages such as Python, R or Scala, with experience in relevant libraries and frameworks (e.g. scikit-learn, TensorFlow, PyTorch, XGBoost).
• Solid understanding of financial concepts including credit risk, market risk, operational risk, counterparty risk, regulatory capital requirements and risk measurement methodologies.
• Experience with big data technologies and distributed computing frameworks such as Apache Spark, Hadoop or cloud-based analytics platforms (AWS, GCP, Azure).
• Proven track record of leading analytical projects, mentoring junior staff and driving cross-functional collaboration in a complex organisational environment.
• Strong statistical knowledge including hypothesis testing, causal inference, time series analysis and experimental design.
• Experience with financial data sources, APIs and market data platforms; familiarity with data warehousing and ETL processes is advantageous.
• Excellent communication skills with the ability to present technical concepts clearly to both technical and non-technical audiences.
• Knowledge of financial regulations such as Basel III, IFRS 9, Dodd-Frank or equivalent regional frameworks is highly desirable.
• Certification in machine learning, data science or related disciplines is a plus.

Skills:

Statistical Analysis

Job type:

Full-time

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement.

Experience:

3 years required

Skills:

Analytical Thinking, Data Analysis, TensorFlow, Big Data, Python, Hadoop

Job type:

Full-time

• At Gosoft (Thailand) Co., Ltd., we are looking for an experienced.
• AI and Data Scientist.
• to lead the development of advanced AI and machine learning solutions that drive innovation and business impact across our digital platforms.
• In this role, you will design and deploy large-scale machine learning systems, develop advanced analytical models, and translate complex data into strategic insights. You will collaborate with cross-functional teams including engineering, product, and business stakeholders to solve high-impact challenges in the retail and e-commerce ecosystem.
• Our team builds data-driven solutions that support platforms such as.
• 7-Eleven Thailand.
• and.
• 7-Delivery., including Search Engines, Recommender Systems, Demand Forecasting, Customer Analytics, and other AI-powered retail solutions.
• Lead the.
• design, development, and deployment of advanced machine learning and AI solutions.
• to solve complex business problems.
• Develop and implement.
• predictive models, recommendation systems, forecasting models, and optimization algorithms.
• Architect and deploy.
• end-to-end machine learning pipelines., from data ingestion and feature engineering to model deployment and monitoring.
• Analyze large-scale structured and unstructured datasets to uncover.
• actionable insights and strategic opportunities.
• Collaborate with engineering, product, and business teams to translate.
• business challenges into scalable data science solutions.
• Drive the adoption of.
• best practices in machine learning, experimentation, and model governance.
• Provide.
• technical leadership and mentorship.
• to data scientists and data engineers.
• Evaluate and integrate.
• state-of-the-art AI/ML techniques.
• including deep learning, large language models, and advanced analytics.
• Work closely with data engineering teams to ensure.
• robust data pipelines and scalable ML infrastructure.
• Communicate insights and technical findings to both.
• technical and executive stakeholders.
• Required.
• Bachelors or Masters degree in.
• Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 6-10+ years of experience.
• in data science, machine learning, or AI-related roles.
• Strong expertise in.
• machine learning, statistical modeling, and advanced analytics.
• Proficiency in.
• Python and data science ecosystems.
• (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.).
• Experience designing.
• end-to-end machine learning pipelines and production ML systems.
• Strong experience working with.
• large-scale datasets and big data technologies.
• Ability to translate.
• complex data analysis into business insights and strategic recommendations.
• Strong problem-solving, analytical thinking, and leadership capabilities.
• Excellent communication skills and the ability to present technical concepts to.
• both technical and non-technical stakeholders.
• Preferred.
• Experience in.
• retail, e-commerce, or recommendation systems.
• Experience with.
• search ranking, recommender systems, personalization, or demand forecasting.
• Familiarity with.
• cloud platforms.
• such as AWS, Azure, or GCP.
• Experience with.
• big data technologies.
• such as Spark, Hadoop, or Databricks.
• Experience deploying models using.
• MLOps frameworks and tools.
• Knowledge of.
• deep learning, NLP, or generative AI.

Skills:

Power BI, Tableau, Python, SQL

Job type:

Full-time

Requirements:- Experience in SQL, Python/R and data visualization (e.g. Tableau/PowerBI)- Perform advanced analysis (hypothesis testing, predictive model, clustering, etc)- Excellent communication skills (verbal and written).

Experience:

2 years required

Skills:

Problem Solving, Data Analysis, Recruitment, Automation, Tableau, YouTube, Python, SQL

Job type:

Full-time

• 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.
• THIS ROLE IS BASED IN BANGKOK, THAILAND (WITH RELOCATION PROVIDED).
• Location: Bangkok, Thailand (*Not open for remote work).
• The Supply Analytics team delivers data-driven insights and decision support to optimize Agoda's supply ecosystem. We analyze partner and marketplace dynamics, build forecasts and models, run experiments, and create scalable dashboards and data products that power strategic direction and operational execution. We bring value through rigorous analyses and pragmatic, measurable recommendations that help Supply, Product and other teams prioritize work and drive impact. Our work improves inventory quality, partner economics, and the long-term health and growth of Agoda.
• As a Senior Analyst, you will report directly to either the Senior Manager or Associate Director within the Supply Department and this will be an individual contributor role. You will be responsible and fully empowered to work with the partners on the ground. You will be supported by a team within the Supply department and work closely with other Team members within Agoda.
• In this Role, you'll get to.
• Translate internal briefs into analytical projects (to include refining the initial brief and asking the 'right questions', working through potential hypotheses and storyboarding the output).
• Use and analyze data from multiple large-scale data warehouses and present statistically strong analysis to a wide range of business stakeholders.
• Proactively identify opportunities for growth within supply and the wider business.
• Drive new analytical initiatives and projects aimed at improving organizational efficiency and shaping Agoda supply.
• Identify, support, and lead projects aimed at scaling up the way the Supply organization leverages on data, insights, and intelligence.
• Automate manual operational processes and present back on time savings gained through modernization of business operations.
• What you'll Need to Succeed.
• At least 2-5+ years of experience working as an Analyst with experience in analytics/data science/insights/strategy/BI.
• Advanced working knowledge and hands-on experience in SQL.
• Strong knowledge and hands-on experience in data visualization tools such as Tableau (preferably).
• Expert domain of data analysis and data visualization tools and software such as Excel, Python (or R).
• Bachelor's degree ideally in a business or quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• A good understanding of statistical modelling knowledge or any machine learning technique knowledge (such as hypothesis testing, regression, logistic regression, random forest, etc.).
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite.
• Experience in conducting A/B testing experimentation.
• Strong experience in finding data insights and provide business recommendation to the business.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints through deep understanding of the business, creative problem solving, and a wide range of expertise in data, analytics, automation, programming, and prototyping.
• Excellent communicator with superior written, verbal, presentation and interpersonal communication skills.
• Data driven in both decision making and performance measurement.
• Extreme comfort in ambiguous, fast-paced environment.
• Ability to multi-task, prioritize and coordinate resources.
• MBA or Masters in a quantitative subject (e.g. computer science, mathematics, engineering, science, economics or finance).
• Program management certifications (e.g. PMI, PRINCE2) to compliment your program management experience.
• Asian market experience.
• Travel industry / e-commerce / tech / consulting experience.
• sanfrancisco.
• 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.

Experience:

2 years required

Skills:

Multitasking, Teamwork, Tableau, Python, Scala, Java, SQL, English, Thai

Job type:

Full-time

• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced Data Scientist to oversee the research, working in ...
• Work closely with business teams to uncover insights and opportunities to effectively solve business problems.
• Gather requirements and build predictive machine learning models to guide decision making process.
• Design trustworthy AB testing experiments and evaluate the results.
• Work closely with the data engineering and product team on data collection and deploying models into production.
• Communicate actionable insights to stakeholders, senior management and decision makers through effective data visualization and presentation.
• Bachelor Degree in Computer Science, Statistics, Data Analytics, Business Administration, or related fields.
• 2+ years of experience in relevant fields.
• Strong SQL skills.
• Well versed in programming languages commonly used for data science such as Python, R. Knowledge of Java, Scala is a strong plus.
• Proven experience building models, deploying models into production, optimization and solving those problems at scale.
• Good understanding of distributed data systems, mathematics such as linear algebra, statistics and probability.
• Ability to use BI Tools such as Tableau, data studio.
• Have a growth mindset and willingness to learn new things and share knowledge with others.
• Great communication skills, organization skills, multitasking and teamwork.
• A good command of English and Thai.
• Experience in implementing search/recommendation systems.

Experience:

7 years required

Skills:

Recruitment, Big Data, YouTube, Python, Hadoop, Scala, SQL

Job type:

Full-time

• 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.
• The Data department oversees all of Agoda's data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company's culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
• The Opportunity.
• We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
• As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world's largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
• In This Role, You'll Get to.
• Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness.
• Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation.
• Work with developers and a variety of business owners to deliver daily results with the best quality.
• Research discover and harness new ideas that can make a difference.
• What You'll Need to Succeed.
• 4+ years hands-on data science experience.
• Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks.
• Significant proficiency in SQL and languages like Python, PySpark and/or Scala.
• Can lead, work independently as well as play a key role in a team.
• Good communication and interpersonal skills for working in a multicultural work environment.
• It's Great if You Have.
• PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields.
• Experience in NLP, image processing and/or recommendation systems.
• Hands on experience in data engineering, working with big data framework like Spark/Hadoop.
• Experience in data science for e-commerce and/or OTA.
• We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
• sanfrancisco.
• 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.

Experience:

1 year required

Skills:

Statistical Analysis, English

Job type:

Full-time

• Develop end-to-end AI and machine learning solutions that transform business challenges into scalable, production-ready applications. You will work across the full lifecycle of data products from business requirement analysis and model development to backend integration and deployment leveraging Generative AI and advanced analytics technologies.
• Collaborate with business stakeholders to gather requirements and translate business challenges into data-driven solutions.
• Analyze and explore data to identify insights, develop features, and prepare datasets for machine learning applications.
• Design, develop, validate, and optimize machine learning and Generative AI models for real-world business use cases.
• Build and integrate backend services, APIs, and machine learning pipelines into production environments.
• Develop scalable Retrieval-Augmented Generation (RAG) and Large Language Model (LLM)-based solutions.
• Design and maintain robust data pipelines while ensuring data quality and reliability.
• Apply statistical analysis, optimization techniques, and machine learning algorithms to solve complex business problems.
• Work closely with cross-functional teams including business users, domain experts, infrastructure engineers, and product teams to deliver end-to-end AI solutions.
• Continuously improve AI models, system performance, and deployment processes to ensure scalable and maintainable solutions.
• Stay updated with emerging AI, machine learning, and data science technologies to drive innovation within the organization.
• Bachelor's or Master's in Data Science, Computer Science, Statistics, Computer Engineering, Robotics & AI, or related fields. (Bachelor GPA > 2.70, Master GPA > 3.30).
• 1-3 years of experience in Data Science, Analytics, Machine Learning, or Generative AI.
• Strong understanding of Machine Learning, Statistics, Optimization, and Data Analytics.
• Hands-on experience with Generative AI, Agentic AI, Computer Vision, NLP, or LLM technologies.
• Experience designing end-to-end machine learning solutions, scalable AI systems, data pipelines, and backend integration.
• Strong programming and software engineering fundamentals with the ability to develop production-ready applications.
• Analytical mindset with excellent problem-solving and communication skills.
• Able to collaborate effectively with cross-functional teams and translate business requirements into technical solutions.
• Good command of English in verbal and written communication (TOEIC > 550).
• Willing to work onsite at SCG Packaging Public Company Limited (Bang Sue, Bangkok).

Experience:

5 years required

Skills:

Multitasking, Architecture, Teamwork, Python, SQL, English, Thai

Job type:

Full-time

• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced Data Scientist to oversee the research, working in ...
• Improve Recommendation Services.
• Building deep knowledge around LINE MAN Wongnai's business related to recommendation services.
• Building on, developing, and enhancing the architecture of the interconnected network of predictive and analytic data models.
• Building scalable prototypes of data tools for testing and proof-of-concept.
• Data and Analytics.
• Analyzing results of experiments with rigorous statistical methods to conclude and suggest strategies to improve the business of LMWN.
• Performing data enrichment and profiling through inferential statistics based on multi-dimensional customer and merchant behavioural data.
• Identifying growth opportunities by analyzing LINE MAN Wongnai's vast amounts of data, develop models that can be used for optimization to ensure platform's growth.
• Technology.
• Researching and building new technological to enhance recommendation capabilities for LMWN.
• Knowledge in natural language processing, information retrieval domain, or knowledge graph is a plus.
• Bachelor Degree in Computer Science, Statistics, Data Analytics, or related fields.
• 3-7 years of experience in data science, statistical or mathematical research, operations research, or complex data modeling and analytics.
• Evidence of previous projects (personal or work-related) with complex analytics and statistical/machine learning techniques using R/Python.
• Strong SQL skills.
• Good understanding of statistics, computer science, and data, and the ability to implement this understanding in complex business situations.
• A hacker's mindset - the ability to build simple but clever and elegant solutions to new problems within significant resource, operational and time constraints.
• Familiarity with the mathematics underpinning analytics (linear programming, linear algebra, convex optimisations, etc.) is a plus.
• Great communication skills, organization skills, multitasking and teamwork.
• A good command of English and Thai.

Experience:

5 years required

Skills:

Multitasking, Accounting, Teamwork, Python, SQL, English, Thai

Job type:

Full-time

• LINE MAN Wongnai is Thailand's Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better. We empower all local businesses by creating an end-to-end ecosystem through our channel LINE MAN and Wongnai to connect and improve the daily life of consumers, riders, and local businesses nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.
• We are looking for an experienced Data Scientist to lead the science behind our Fina ...
• Credit Risk Modeling & Measurement.
• Develop, implement, and maintain core credit risk models, including application scorecards, behavioral models, and PD / LGD / EAD estimation frameworks.
• Leverage diverse data sources transactional, behavioral, financial, sequential and alternative unstructured data for feature engineering and model innovation.
• Own ECL measurement and monitoring, ensuring models accurately reflect portfolio risk across products, cohorts, and vintages.
• Design robust model evaluation, back-testing, and recalibration processes to maintain performance under changing borrower behavior and market conditions.
• Quantify and manage trade-offs between disbursement growth, risk appetite, and profitability.
• Experimentation.
• Design and analyze controlled experiments or policy tests (e.g., limit changes, approval threshold adjustments) to measure causal impact on risk and profitability.
• Ensure changes to credit policies are supported by rigorous evidence and clearly understood risk implications.
• Cross-Functional Collaboration.
• Partner closely with the business team, product, engineering, accounting and operations to align modeling outputs with operational constraints and business objectives.
• Support model governance, documentation, and audit requirements, including alignment with internal risk frameworks and regulatory expectations.
• Bachelor Degree in Computer Science, Statistics, Quantitative Finance, Economics, or related fields.
• 5+ years of experience in data science, credit risk, or quantitative modeling; experience in BNPL, consumer lending, or fintech is strongly preferred.
• Strong understanding of PD, ECL, and portfolio risk concepts, with the ability to visualize and translate them into practical business decisions.
• Strong Python and SQL skills.
• Great communication skills, organization skills, multitasking and teamwork.
• Good command of English and Thai.

Skills:

Financial Analysis, Cost Estimation, Data Analysis, Budgeting, GIS, Bahasa Indonesia, English

Job type:

Full-time

• Participation in EPC tendering projects, negotiations with EPC contractors, IPP bidding projects, PPA negotiations and renewable energy project development in general.
• Prepare technical due diligence for potential acquisition or financing of renewable energy projects.
• Prepare initial site assessment on land use and land cover utilizing spatial and other supporting data related to technical, environmental and social aspect for several types of projects to provide thematic maps and geospatial analysis.
• Conduct site visit to project sites and discussion with relevant stakeholders.
• Data analysis and reporting: Analyze project data and prepare reports according to the required deliverables of each Project.
• Conduct energy yield analysis for solar and wind power projects.
• Act as lenders engineer in solar PV and wind power projects, doing construction monitoring and operations monitoring.
• Participation in various other technical consulting assignments for renewable energy projects both in Indonesia and elsewhere in South-East Asia region.
• Conducting project cost estimation and financial analysis to support project budgeting and financial planning.
• Work closely with multidisciplinary teams, including engineers, environmental scientists, and financial analysts, to deliver integrated solutions.
• Effectively communicate and present project findings and updates to clients and stakeholders.
• Higher professional degree in engineering field relevant for renewable energy projects (M.Sc. or B.Sc.).
• 3-7.
• years' experience in renewable energy technologies.
• Good technical understanding of renewable energy technologies.
• Preferably with hands-on experience on conducting studies for Solar PV, Wind Power and/or BESS.
• Proficiency in renewable energy design and analysis software (e.g., PVsyst, WAsP, WindPRO, HOMER, etc.).
• Basic understanding of GIS-based map and other source of aerial mapping.
• Basic understanding of project cost and financial analysis.
• Strong verbal and written communication skill. Ability to effectively present project findings and updates to clients and stakeholders.
• Fluent in Bahasa Indonesia and English is a must.
• Willingness to conduct site visits and interact with relevant stakeholders.
• Friendly international working environment with a wide variety of interesting and challenging tasks.
• Competitive salary package.
• Career opportunity in one of the largest international consulting and engineering companies.
• Possibility to grow professionally and advance in career.
• Possibility to work in international renewable energy projects.
• At AFRY, we engineer change in everything we do. Change happens when brave ideas come together. When we collaborate, innovate technology, and embrace challenging points of view. That's how we're making future. We are actively looking for qualified candidates to join our inclusive and diverse teams across the globe. Join us in accelerating the transition towards a sustainable future.