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Experience:

5 years required

Skills:

SEO, Statistics, SQL, English

Job type:

Full-time

• Analyze the online travel ecosystem, markets, competitive landscape, and user requirements with a strong focus on Search Organic traffic channels.
• Oversee the end to end delivery of campaigns/products, which support a mix of wider-company initiatives, customer engagement and ultimately optimizing organic rankings to drive Agoda's revenues.
• Conceptualize, launch, and optimize SEO products and features, experiment, test their performance, and iterate quickly.
• Work collaboratively with Engineering, Marketing, Content, and UX teams on cutting-edge technologies.
• Analyze content traffic, SEO metrics and the effectiveness of campaigns and messaging (through well-defined KPIs) to explore ways of improving content marketing ROI.
• Develop innovative solutions to some of the world's difficult problems by collaborating as needed across regions, product areas, and functions, with a strong emphasis on SEO.
• At least 5+ years of product experience, including hands-on technical and content optimization experience.
• Bachelor's degree in a technical field (i.e., Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline).
• Proven ability to leverage analytics and quantitative methods to inform and influence decision-making, with a strong focus on SEO.
• Strong data skills.
• Excellent communication skills (both verbal and written in English) with a proven ability to convey complex messages clearly and with conviction to different stakeholders.
• Experience developing and launching new products.
• Experience leading global product vision, go-to-market strategy, and design discussions for the organic channel.
• Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change.
• Hands-on mentality, with a proactive approach to problem-solving.
• MBA or Master's degree in Math, Economics, Computer Science, or Statistics.
• Strong proficiency in data tools such as SQL, Python, R, or equivalent.
• 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.
• To all recruitment agencies: Agoda does not accept third-party resumes. Please do not send resumes to our jobs alias, Agoda employees, or any other organizational location. Agoda is not responsible for any fees related to unsolicited resumes.
• 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.

Skills:

Data Analysis, Statistics, Python

Job type:

Full-time

• Data Analysis: Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges..
• Model Development: Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization..
• Collaboration: Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions..
• Visualization and Communication: Present insights and findings through visualizations and dashboards to inform decision-making..
• Innovation: Stay updated on the latest tools and techniques in data science and retail analytics..
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality..
• Education: Bachelor s or Master s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field..
• Experience: At least 2 years of experience in data science or a related field..
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Soft Skills: Strong problem-solving, communication, and teamwork abilities..
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.

Skills:

Data Analysis, Statistics

Job type:

Full-time

• งานวิเคราะห์และพัฒนาแบบจำลองความเสี่ยง.
• วิเคราะห์และพัฒนาแบบจำลองการบริหารความเสี่ยงด้านสินเชื่อต่างๆ ด้าน Non Retail Credit Model เพื่อใช้เป็นเครื่องมือในการควบคุมความเสี่ยงให้อยู่ในระดับ ที่ธนาคารกำหนด และลดความสูญเสียในการพิจารณาสินเชื่อ.
• ประเมินค่าความสูญเสียที่เกิดจากการให้สินเชื่อ (Credit Loss Model) รวมทั้ง ศึกษาปัญหา และปัจจัยต่าง ๆ ที่ก่อให้เกิดความสูญเสียจากการให้สินเชื่อ.
• ติดตามและทดสอบความเหมาะสมของปัจจัย ต่างๆ และแบบจำลอง เพื่อปรับแบบจำลอง/เครื่องมือที่ใช้ในการพิจารณาสินเชื่อให้มีประสิทธิภาพอย่างต่อเนื่อง.
• ศึกษาจัดทำ และให้การสนับสนุนการพัฒนาระบบบริหารความเสี่ยงด้านสินเชื่อต่างๆ.
• ศึกษา Risk & Return ในมิติต่างๆ เพื่อใช้ประกอบการให้ความเห็นในการออกผลิตภัณฑ์สินเชื่อ รวมถึงการดำเนินการนำระบบออกใช้ และติดตามการใช้.
• ร่วมกับหน่วยงาน IT ของธนาคารจัดสรร และบริหารข้อมูลความเสี่ยงด้านสินเชื่อให้มีประสิทธิภาพเพื่อใช้เป็นแนวทางการพัฒนาเครื่องมือการพิจารณาสินเชื่อ.
• ประสานงานกับหน่วยงานที่เกี่ยวข้อง เพื่อวางกลยุทธ์ในการจัดทำ และการนำ Credit Model ไปใช้งานให้มีประสิทธิภาพสูงสุด งานวิเคราะห์พัฒนาและติดตามระบบงานความเสี่ยงด้านสินเชื่อ.
• วิเคราะห์พฤติกรรมลูกค้าและประเมินความน่าจะเป็นที่ลูกหนี้จะผิดนัดชำระหนี้.
• พัฒนาเครื่องมือ หรือระบบเตือนภัย (Early Warning System).
• ติดตาม Credit Exposure ในมุมการควบคุมต่างๆ เช่น การกำกับลูกหนี้รายใหญ่ของธนาคาร (Single LendingLimit) เป็นต้น.
• เป็นศูนย์กลางพัฒนาและติดตามการใช้งานระบบแบบจำลองความเสี่ยงด้านสินเชื่อ รวมทั้งกำหนดสิทธิ์และระดับการเข้าใช้งานระบบฯ.
• ประสานงานระหว่างผู้ใช้ และหน่วยงาน IT เพื่อให้การสนับสนุนทุกด้านเกี่ยวกับการใช้งานระบบฯ ตลอดจนการปรับปรุงแก้ไขระบบงานฯ.
• กำหนด และรวบรวมระเบียบการปฏิบัติงานที่เกี่ยวข้องเพื่ออ้างอิง และปรับปรุงแก้ไขให้เป็นปัจจุบันอยู่เสมอ.
• ควบคุมดูแลผู้ใช้ระบบ และกำหนดมาตรฐานการบันทึกข้อมูลในระบบงานฯ ให้ถูกต้อง.
• บริหารข้อมูลที่มีอยู่ในระบบเพื่อนำมาใช้ในเชิงวิเคราะห์ และ สรุปผลงาน/รายงานต่าง ๆ ที่เกี่ยวข้องให้กับธนาคาร..
• มีประสบการณ์ในการพัฒนา credit risk models, risk pricing models การวิเคราะห์ข้อมูล และการเขียน computer programming.
• มีความรู้ที่จำเป็นต่อ model development และ maintenance ได้แก่ ความรู้เกี่ยวกับการพัฒนาแบบจำลองและสถิติ (Modelling, Statistics) การวิเคราะห์ข้อมูลขนาดใหญ่ (Data Analytics, Big Data) และ computer programming (e.g. Data Science) และมีความรู้อย่างน้อยอย่างใดอย่างหนึ่ง ต่อไปนี้ เช่น แบบจำลองความเสี่ยงด้านสินเชื่อ (Credit Risk Modelling, IFRS9, Basel, Credit Rating, Credit Pricing Model) การวิเคราะห์ข้อมูลด้านความเสี่ยงสินเชื่อ (Credit Risk Analysis) ความรู้ทางด้านเศรษฐศาสตร์การเงินและเศรษฐกิจมหภาค และการจัดการข้อมูล (MIS, Data Engineering).
• มีวุฒิการศึกษาระดับปริญญาโทขึ้นไป ด้าน Statistics, Econometrics, Data Science, Data Analytics, Computer Science, Computer Engineering, Operational Research, Risk Analytics/Modelling, Mathematical Finance, Financial Engineering, Economics, MIS หรือสาขาที่เกี่ยวข้อง.

Experience:

3 years required

Skills:

Statistics

Job type:

Full-time

• ปฎิบัติงานยัง บริษัท Infinitas by Krungthai.
• We are seeking a highly skilled Data Management Specialist to join our team. The ideal candidate will be responsible for managing and analyzing large data, ensuring data integrity, and developing data management solutions to optimize our operations.
• Design, develop, and maintain data mart and pipeline to ensure accessibility and reliability of data.
• Utilize SQL to perform complex queries, data extraction, and manipulation.
• Analyze and interpret large datasets to identify trends and insights that drive business decisions.
• Ensure data quality, integrity, and security across all managed databases.
• Collaborate with cross-functional teams to understand data needs and deliver effective data management
• solutions.
• Implement and monitor data management policies and procedures.
• Optimize database performance and troubleshoot issues as they arise.
• Leverage big data technologies such as Spark to process and analyze large datasets.
• Develop and maintain ETL processes to ensure seamless data flow between systems.
• Work with cloud platforms such as Google Cloud and AWS to manage and store data securely.
• Required Skills and Qualifications
• Proficiency in SQL: Expertise in writing and optimizing complex SQL queries.
• Problem-solving and analytical skills: Strong ability to analyze data and derive actionable insights.
• Familiarity with cloud platforms: Experience with platforms such as Google Cloud and AWS.
• Database management systems: Hands-on experience with systems like MySQL.
• Big data technologies: Experience with technologies such as Spark.
• Python programming: Proficiency in Python for data manipulation and analysis.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Attention to detail and commitment to maintaining high data quality standards.
• Ability to manage multiple projects and prioritize tasks in a fast-paced environment.
• Education & Experience
• Bachelor s degree or higher in Statistics, Computer Science, Mathematics, or related field
• Minimum 3 years experience in retail lending or similar role
• Additional Requirements
• Experience with data visualization tools (Tableau, Power BI)
• Ability to work collaboratively with cross-functional teams.
• You have read and reviewed Infinitas By Krungthai Company Limited's Privacy Policy at https://krungthai.com/Download/download/DownloadDownload_73Privacy_Policy_Infinitas.pdf. The Bank does not intend or require the processing of any sensitive personal data, including information related to religion and/or blood type, which may appear on copy of your identification card. Therefore, please refrain from uploading any documents, including copy(ies) of your identification card, or providing sensitive personal data or any other information that is unrelated or unnecessary for the purpose of applying for a position on the website. Additionally, please ensure that you have removed any sensitive personal data (if any) from your resume and other documents before uploading them to the website.
• The Bank is required to collect your criminal record information to assess employment eligibility, verify qualifications, or evaluate suitability for certain positions. Your consent to the collection, use, or disclosure of your criminal record information is necessary for entering into an agreement and being considered for the aforementioned purposes. If you do not consent to the collection, use, or disclosure of your criminal record information, or if you later withdraw such consent, the Bank may be unable to proceed with the stated purposes, potentially resulting in the loss of your employment opportunity with. ".

Skills:

Statistics, Safety Management

Job type:

Full-time

• Arranging and conducting proper training on safety issues for staffs.
• Working with all managers to ensure proper safety equipment and protection systems which are available and able to use.
• Monitoring the investigation of accidents and reviewing accidents and statistics pertaining to such with the management so that corrective action may be applied and assessed for health safety and the environment.
• Reviewing with all managers on safety & security policies/ procedures to ensure that they are effective and workable.
• Compiling and returning accident statistics to the SHE manager and plant manager.
• Auditing, analyzing and collating environmental performance data and using information to drive continuous improvement.
• Ensuring that there is suitable emergency procedures and equipment in place for dealing with emergencies such as fires and spillages..
• Bachelor s degree or higher in Safety, Health and Environment or related fields.
• Minimum 2 years experience in environmental management and safety management system or related fields.
• Knowledge of environmental impact assessment (EIA), SHE management system and SHE Law.
• Experience in construction work, power plant, industrial plant would be an advantage.
• Ability to control safety in the existing plant and construction.
• Strong leadership and excellent communications.
• Good command in English (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible..
• Interested person, please submit your resume via online system or click "APPLY NOW".
• All applications will be strictly confidential, and will be kept for at least 1 year. Only shortlist candidates will be notified.
• Gulf Development Public Company Limited
• 11th Fl., M Thai Tower, All Seasons Place,
• 87 Wireless Rd., Lumpini, Pathumwan, Bangkok 10330.
• Website: www.gulf.co.th.

Experience:

2 years required

Skills:

Project Management, Statistics, Finance, English

Job type:

Full-time

• Engage with clients to understand business goals, provide advisory support, and proactively address technical and functional challenges while effectively supporting presentations and demonstrations.
• Build strong relationships with senior client stakeholders to consistently exceed expectations.
• Independently gather and analyze client requirements, developing tailored business solutions.
• Provide expertise on risk management technologies, methodologies, and regulatory frameworks (e.g. Basel, IFRS9, Liquidity, Credit Risk, Market Risk, Operational Risk, Banking Regulations, etc), while developing, maintaining, and enhancing quantitative risk models to ensure accuracy and regulatory alignment.
• Collaborate effectively with senior consultants, managers, and cross-functional teams to achieve project objectives.
• Coordinate regional teams across Southeast Asia to foster consistency and excellence.
• Support project management activities, including scope definition, planning, execution, and delivery.
• Contribute to knowledge-sharing initiatives, training programs, and professional development activities.
• Contribute to proposal development, bid participation, and market expansion efforts to strengthen the firm s presence.
• Your role as a team member: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Consultants across our Firm are expected to:Understand the expectations set and demonstrates personal accountability for keeping own performance on track.
• Understand how our daily work contributes to the priorities of the team and the business.
• Demonstrate strong commitment to personal learning and development.
• Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.
• You are someone with:Possesses a degree, preferably in Actuarial Science, Statistics, Economics, Mathematics, Finance, Accountancy, Risk Management, or a related field.
• Professional certifications (e.g., FRM, PRM, CFA) are an added advantage.
• Minimum of 1 to 2 years of relevant experience, ideally within consulting, banking, or financial services.
• Demonstrates strong domain and technical-functional knowledge in regulatory frameworks and risk management solutions, including Basel, IFRS 9, Liquidity, Credit Risk, and Banking Regulations.
• Hands-on experience with data analytics and visualization tools such as SQL, Power BI, Python, and SAS preferred.
• Proficient in Microsoft Excel, PowerPoint, and Word, with advanced skills.
• Strong analytical, problem-solving, and data interpretation skills with high attention to detail.
• Excellent communication, interpersonal, collaboration, and client management abilities.
• Proficient in business-level English, both verbal and written.
• Capable of working independently, multitasking, and managing projects effectively.
• Works efficiently against demanding timelines.
• A high-performing, coachable team player who prioritizes continuous development, puts clients first, and exemplifies a value-driven mindset.
• Due to volume of applications, we regret only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.Requisition ID: 108502In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Skills:

Big Data, Research, Statistics

Job type:

Full-time

• 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.
• 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:

5 years required

Skills:

Business Development, Business Statistics / Analysis, English

Job type:

Full-time

• Business Survey & Planning;.
• Gather and analyze market data to identify trends, opportunities, and risks. Prepare executive reports and presentations to support strategic decision-making.
• Business Development & Partnerships;.
• Explore new business opportunities beyond our core.
• operations. Identify and establish strategic partnerships to expand market reach. Communicate value propositions to potential clients and partners.
• Product Development & Collaboration;.
• Support new product development, go-to-market strategies, and process implementation. Coordinate with cross-functional teams to execute business strategies. Track project progress and ensure smooth execution.
• Financial Oversight;.
• Review financial statements and assess the impact of financial changes and future investments..
• Bachelor s or Master s in Business, Finance, Computer Science, Engineering, or related fields.
• Experience 5-7 years in relevant industries (Energy, Infrastructure, Waste Management, Medical, Telecom, etc.).
• Skills & Competencies;.
• Strong analytical and problem-solving skills.
• Proactive and adaptable mindset with a passion for business growth.
• Ability to manage multiple projects in a fast-paced environment.
• Proficiency in MS Excel, PowerPoint, and business analytics tools (Tableau, PowerBI is a plus).
• Effective communication, negotiation, and presentation skills.
• Intermediate English proficiency for business communication..

Skills:

Statistics, Data Analysis, SAS, English

Job type:

Full-time

• Search: Experiment with text ads, bidding, and campaign structures on Google, Bing, Baidu, Naver, and other search engines. Adapt to new product features and roll out changes from successful tests.
• Display: Test, analyze, and optimize campaigns on Facebook, Twitter, Instagram, and others.
• Modeling: Analyze the vast amounts of data generated by experiments, develop models we can use for optimization, and build dashboards for account managers.
• Bachelor's Degree or higher from top university in a quantitative subject (computer science, mathematics, engineering, statistics or science).
• Ability to communicate fluently in English.
• Exposure to one or more data analysis packages or databases, e.g., SAS, R, SPSS, Python, VBA, SQL, Tableau.
• Good numerical reasoning skills.
• Proficiency in Excel.
• Intellectual curiosity and analytical skills.
• Experience in digital marketing.
• Academic research experience.
• 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:

Business Statistics / Analysis, Financial Analysis, Business Development, English

Job type:

Full-time

• Analyze both external and internal changes, assess their potential impact, and provide recommendations..
• Assist the team in developing, implementing, monitoring, and driving the company's strategic plan to achieve its Vision, Mission, and Targets..
• Support cross-functional initiatives, ensuring alignment across departments and effective implementation of strategic objectives..
• Provide strategic guidance and recommendations based on data-driven insights and through analysis to relevant stakeholders..
• Assist the team in developing the budget and monthly forecasts, collaborating with other departments to ensure smooth operations..
• Help develop performance metrics, KPIs, and dashboards (e.g., financial dashboards) to track progess against strategic goals and foster continuous improvement..
• Support team with other assignments or projects under Corporate Stratedgy and Planning section, including digital transformation, operational excellence, and project monitoring..
• Bachelor degree in Business Administration/Management, Economics, Finance & Accounting, or any related fields..
• Having 0-5 years experiences in Business Strategy, Business Development, Financial/Budget planning and analysis, or any related fields..
• Excellent analytical abilities with the capability to simplify complex information into actionable insights..
• Strong financial planning skills are required..
• Familiarity with SAP, S4 HANA, and/or SAP Analytics Cloud is required..
• Excellent interpersonal skills, with the ability to influence and engage stakeholders across the organization..
• Proficient in both written and spoken English..
• Strong presentation and communication skills..
• Proficient in MS Office (Power Point, Excel, Word).

Experience:

No experience required

Skills:

Accounting, Business Statistics / Analysis, English

Job type:

Full-time

• Ensure accurate and timely monthly, quarterly, and year-end close processes..
• Prepare and review financial statements in accordance with local and international accounting standards..
• Prepare account and management analysis information..
• Coordinate with Group Consolidation in finance and accounting related matters and external auditors and internal teams during annual audits..
• Adhoc works related to accounting projects..
• Bachelor or Master Degree in Accountancy..
• Having at least 15 years experience in Auditor/Accounting..
• Good command of English, both written and spoken..
• CPA or other professional accounting certifications are preferred..
• Familiar with ERP systems (e.g. SAP) is an advantage..
• Able to work under pressure and meet tight deadlines..
• Strong communication skills with the ability to clearly convey financial information to both finance and non-finance stakeholders..

Experience:

4 years required

Skills:

Business Development, Teamwork, Business Statistics / Analysis, Analytical Thinking, Thai, English

Job type:

Full-time

• EVERYTHING about building a business. Don t ask for JD. I want your craziness.
• Sales and business development out of the box.
• People driving and inspiring remotely and in office.
• Process control, transformation and enhancement.
• Top universities are a minimum requirement. The schools include Chulalongkorn University, Thammasat University, and other schools at the same recognition level.
• Bachelor's degree in Engineering or a related field.
• Minimum of 3-7 years of experience in operations or back-office management, preferably in the retail or service industry.
• Proficient in data analysis and familiar with management systems like Browny Hub.
• Strong leadership and communication skills for effective remote team management.
• Ability to develop and implement operational tools and procedures.
• Fluent in Thai; proficiency in English is an advantage.
• Why Join Us?.
• At Browny Wash & Dry, we value innovation, efficiency, and customer satisfaction. Joining our team means being part of a forward-thinking company that is revolutionizing the laundromat industry in Thailand. We offer opportunities for professional growth and the chance to make a significant impact on our operations.
• Next Step.
• Please complete our Recruitment Gateway prior to face-to-face interview at https://docs.google.com/forms/u/2/d/e/1FAIpQLSd4QUPckwHVFlytI3OIuXLgvBqYdiR_Ia77AVkHSjzMay7XuQ/viewform.

Experience:

1 year required

Skills:

Product Design, Product Development, Statistics, English

Job type:

Full-time

• Develop actuarial models to calculate premium rates and other product values.
• Provide support for product design and review, and offer comments on product features with consideration of risk and regulatory requirements.
• Develop actuarial models to support profit testing.
• Ensure that pricing assumptions used in profit testing reflect expected product behavior.
• Review policy contract provisions to ensure alignment with product design; raise concerns and provide comments when necessary.
• Prepare supporting documents for submission to regional office and regulator.
• Respond to inquiries from regional office staff and regulatory bodies related to product filing.
• Actively participate in the Product Development Implementation Team to discuss and review product development matters.
• Review product specifications and assist with system setup for new products or product modifications, including User Acceptance Testing (UAT).
• Contribute to the preparation of product proposals for partners, particularly around sales compensation structure, to ensure competitiveness and profitability.
• 2) Experience AnalysisPerform experience analyses of key assumptions e.g. claims, mortality and persistency.
• 3) Sales Material SupportSupport the preparation and review of sales materials, including sales illustration systems, brochures, agency manuals, and training materials.
• Required qualification:Bachelor's or master's degree in actuarial sciences, Statistics, Mathematics, Finance or related field.
• 0-1 years of experience in Actuarial Pricing and/ or Product Development in insurance or banking business.
• Strongly in actuarial, numeric, insurance pricing skills.
• Familiar with Excel advance VBA, R, Python, Power BI.
• Good English communication.
• Strong coordination and presentation.

Experience:

No experience required

Skills:

Good Communication Skills, Business Statistics / Analysis

Job type:

Full-time

• ออกแบบหลักสูตรและคอร์สสำหรับองค์กรที่ต้องการ Drive Change / Transformation ให้เกิดขึ้นจริง.
• ออกแบบ Proposal ตามโจทย์ลูกค้า.
• ทำงานร่วมกับผู้สอน เพื่อให้สิ่งที่ออกแบบสร้าง Impact ให้กับผู้เรียน.
• เป็นที่ปรึกษาให้กับลูกค้า และทำให้หลักสูตรหรือคอร์สที่จัดสร้าง Impact ให้กับลูกค้า ตามเป้าหมายของหลักสูตรหรือคอร์ส.
• มีประสบการณ์ทำ Change Management และ Digital Transformation ให้เกิดขึ้นจริงในองค์กรใหญ่.
• ชอบพัฒนาตัวเอง และหาความรู้ด้าน Soft Skills, Business และ Digital.
• มีทักษะในการวิเคราะห์ แก้ปัญหา และเชื่อมโยง.

Skills:

Finance, Statistics, Python

Job type:

Full-time

• เก็บรวบรวมและวิเคราะห์ข้อมูลที่ส่งผลกระทบต่อองค์กร จากหลายแหล่ง ทั้งภายในและภายนอก ทั้งในด้าน Finance & Non Finance รวมถึง เหตุการณ์ที่เกิดขึ้นอันอาจจะกระทบความเป็นอยู่ของพนักงาน.
• วิเคราะห์พฤติกรรม/เหตุการณ์ และคาดการณ์โอกาสหรือผลอันอาจจะกระทบต่อบริษัทและพนักงาน.
• ออกแบบและทำการทดสอบวิธีใช้งานข้อมูลและเทคนิคการวิเคราะห์ใหม่ๆ เพื่อนำเสนอมุมมองทางธุรกิจใหม่ๆให้แก่ผู้ที่เกี่ยวข้อง.
• การจัดทำรายงานและ Dashboard.
• จัดทำรายงานสรุปข้อมูลที่เข้าใจง่าย และสร้าง Dashboard ให้ผู้บริหาร.
• นำเสนอผลการวิเคราะห์เพื่อประกอบการตัดสินใจเชิงกลยุทธ์.
• สนับสนุนการทำงานของทีมงานในด้านข้อมูล.
• การสร้าง ดูแล และ อัปเดตฐานข้อมูล และการประมวลผลข้อมูลขนาดใหญ่.
• พัฒนาและใช้งานระบบอัตโนมัติ ในการทำงานกับฐานข้อมูล.
• งานอื่นๆที่เกี่ยวข้องเพื่อสนับสนุนการทำงานของทีมวิเคราะห์ข้อมูล.
• ปริญญาตรีด้าน Mathematics, Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์อย่างน้อย 2-5 ปีในด้าน Data Analytics หรือ Data Science.
• มีประสบการณ์ด้าน Data Visualization และสามารถนำเสนอข้อมูลได้อย่างมีประสิทธิภาพ ผ่านเครื่องมือที่เหมาะสม.
• มีทักษะการเขียนโปรแกรม เช่น Python, SQL และเครื่องมือ BI เช่น Power BI หรือใกล้เคียง.
• มีประสบการณ์และความเข้าใจในการใช้เทคนิค Machine Learning พื้นฐาน (เช่น Data Clustering, Time series analysis ) ในการวิเคราะห์ข้อมูลที่มีความซับซ้อนหรือข้อมูลขนาดใหญ่.
• หากมีประสบการณ์กับ Cloud Platform (เช่น AWS, GCP, Azure) จะพิจารณาเป็นพิเศษ.
• Contact Information:-.
• K. Sawarin Tel.
• Office of Human Capital.
• TSPACE DIGITAL COMPANY.
• ThaiBev Quarter.

Skills:

Accounting, Statistics, Finance

Job type:

Full-time

• Currently pursuing a degree in Accounting, Statistics, Finance, or a related field.
• Strong project management, communication, and teamwork skills, with a high sense of ownership.
• Proficiency in Microsoft Excel and basic data analysis.
• A proactive mindset with a strong aptitude for learning and a positive, results-driven attitude.
• Preferred Qualifications.
• Prior internship of 3 to 6 months.
• Basic understanding of the internet and e-commerce advertising solutions or business operations.
• Comfortable working with data and demonstrating strong attention to detail.
• Ability to adapt quickly to changes and work independently with a high level of self-motivation.
• Strong analytical background with a data-driven mindset.
• By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy. If you have any questions, please reach out to us at [email protected].

Skills:

Statistics, Data Analysis, SQL

Job type:

Full-time

• Data Science Foundations: Strong foundation in data science, statistics, and advanced data analytics, including data visualization to communicate insights effectively.
• Exploratory Data Analysis (EDA): Skilled in performing EDA to uncover patterns, detect anomalies, and generate meaningful insights from data.
• Experimentation & Testing: Skilled in designing A/B tests or other experimental designs to measure business impact, analyze results, and communicate findings clearly to stakeholders.
• Machine Learning & AI.
• Model Development & Deployment: Experience in building, deploying, and optimizing machine learning models on large datasets.
• Generative AI (GenAI): Opportunity to work on GenAI projects that drive innovation and impactful business solutions.
• Problem-Solving & Collaboration.
• Analytical & Problem-Solving Skills: Strong analytical and problem-solving abilities focused on deriving actionable insights from data.
• Team Collaboration: Ability to work effectively both independently and as part of a collaborative team, contributing to shared project goals.
• Technical Expertise.
• Proficiency in Big Data Technologies: Expertise in Spark, PySpark, and SQL for large-scale data processing focused on feature creation for machine learning models and data analysis tasks.
• Programming Skills: Strong proficiency in Python for data analysis and machine learning (including libraries like Pandas, PySpark, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn, etc.).
• Python Notebooks: Familiarity with Jupyter, Google Colab, or Apache Zeppelin for interactive data analysis and model development.
• Platform Experience: Experience in using PySpark on cloud platforms such as Azure Databricks or other platforms (including on-premise) is a plus.
• Education & Experience.
• Educational Background: Bachelor s or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, Information Technology, Engineering, or related fields.
• Work Experience: At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning, with demonstrated technical expertise and a proven track record of driving data-driven business solutions.

Experience:

3 years required

Skills:

SAP, Project Management, Statistics

Job type:

Full-time

• Generate the blueprint (digital workflow) from process workflow (e.g. engineering workflow, sshe workflow, etc.).
• Develop application to support work execution in according to engineering and SSHE workflow, to gather information from various entities, to analyse and integrate the data from other applications, and to monitor the status of the equipment on facilities, etc.
• Perform testing of the developed applications as per detailed test plan including Fu ...
• Develop and implement advanced statistical models, machine learning algorithms, and predictive analytics to identify trends, patterns, in the SSHE application, e.g. incident prediction, LOPC prediction, etc.
• Collect, clean, pre-process, and integrate SSHE data from various sources, such as SSHE applications, MOC applications (e.g. EPMS, SAP, etc.), which include large amounts of unstructured data to create a centralized and high-quality database.
• Flag data for further verification and confirmation when necessary.
• Utilize computer vision, natural language processing, and other AI methods to extract meaningful insights from unstructured data.
• Collaborate with SSHE and Operations teams to translate data-driven insights into concrete recommendations for enhancing SSHE operational and verification controls, risk mitigation strategies, and overall SSHE performance.
• Design and build interactive dashboards and visualizations to effectively communicate performance indicator e.g. SSHE KPIs, PSEIs, and data-driven insights to key stakeholders.
• Stay current with the latest advancements in data science, AI, and SSHE management to identify and pilot new technologies that can enhance the organization's SSHE capabilities.
• On-site and remote support to assist in the planning, project management and facilitation of various IT projects and functions.
• On-site and remote support to assist users in problem solving in application usage.
• Professional Knowledge & Experiences.
• Bachelor's or Master's degree in data science, statistics, computer science, or a related quantitative field.
• 0-3 years of experience in data analysis, science, or engineering.
• Proficiency in programming languages such as Python or SQL for data manipulation, analysis, and visualization, or equivalent.
• Experience applying machine learning, deep learning, and other AI techniques to solve complex problems.
• Familiarity with SSHE data management systems, risk assessment, incident reporting, audit and closure action management, and industry regulations will be a plus.
• Excellent problem-solving, critical thinking, and communication skills, with the ability to effectively translate data insights into actionable recommendations.
• Demonstrated ability to work collaboratively with cross-functional teams, including SSHE, Operations, and IT/Digital teams.

Skills:

Power BI, Statistics, Data Analysis

Job type:

Full-time

• Apply best practices in data visualization to create clear, concise, and impactful visuals. Optimize dashboard performance for speed and efficiency.
• Identifies and utilizes the customer data as an insight to provide executive summary report, including provide the analysis with the recommendation.
• Collaborate with commercial team to ensure that Power BI solutions meet their needs.
• Provide training and support to end-users on how to effectively utilize Power BI dashboards and reports.
• Manage and prepare ad hoc reports and analysis as required..
• Bachelor s / Master degree in Data Science, Mathematics, Statistics, Computer Science, Business Administration, Engineering, or other quantitative field.
• 6-7 years of relevant experience in a data analytics or power bi developer will be considered.
• Strong proficiency in Microsoft Power BI. Experience with data modeling, DAX (Data Analysis Expressions), and Power Query (M language).
• Solid understanding of data visualization principles and best practices.
• Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Hands-on experience with databases such as SAP, SQL, and statistical tools such as R, Python.
• Self-driven individual with strong will to learn, tackle the unknowns and contribute to the team and organization.

Skills:

Research, Statistics, Python, English

Job type:

Full-time

• Apply statistical and machine learning methods to large, complex data sets to draw insights and provide actionable recommendations.
• Solve complex problems on both technical and business sides using advanced analytical methods.
• Work with Engineering teams to implement end-to-end process from model development to testing, validation, and deployment.
• Research and develop new quantitative models and frameworks to enhance the company s data science capability.
• Basic Qualifications Bachelor s degree in Engineering, Computer Science, Math, Physics, Statistics or other areas that are highly quantitative.
• Experience with statistical programming languages (e.g., Python, R, pandas) and database software (e.g., SQL, PySpark).
• Knowledge in statistics (e.g., hypothesis testing, regression) and machine learning.
• Strong analytical problem-solving capabilities.
• Preferred Qualifications Master s or PhD degree in a quantitative discipline.
• Experience applying machine learning and statistical methods to large datasets.
• Solid understanding of advanced statistics and machine learning practices.
• Experience in one or more specialized machine learning areas (e.g., NLP, deep learning, recommendation systems, reinforcement learning).
• Outstanding coding skills or software development background.
• Ability to think independently and communicate complex ideas to less technical persons.
• Excellent command of English in both verbal and written forms.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.