เงื่อนไขการค้นหา

ทักษะ:

Statistics, SQL, Excel

ประเภทงาน:

งานประจำ

• Analyze collections portfolio performance (e.g., delinquency rates, roll rates, recovery rates) and provide actionable insights.
• Develop and maintain dashboards and reports to track collections KPIs and agent performance.
• Identify trends, risk segments, and behavioral patterns to improve collections strategies.
• Support strategy design such as segmentation, prioritization, and treatment optimization.
• Collaborate with Collections teams to translate business needs into analytical solutions.
• Perform ad-hoc analysis to support decision-making and ongoing initiatives.
• Ensure data accuracy, integrity, and consistency across reporting systems.
• Automate reporting processes to improve efficiency and reduce manual work.
• QualificationsBachelor s degree in Data Analytics, Statistics, Mathematics, or a related field.
• 2-4 years of experience in data analysis (experience in collections, banking, or financial services is a plus).
• Strong proficiency in SQL and Excel; experience with Python, R, or BI tools (e.g., Power BI, Tableau) is preferred.
• Good understanding of collections business is an advantage.
• Strong analytical thinking and problem-solving skills.
• Ability to communicate insights clearly to non-technical stakeholders.
• Detail-oriented with a high level of accuracy.

ทักษะ:

Statistics, Marketing Strategy, SQL

ประเภทงาน:

งานประจำ

• Develop analytical frameworks to evaluate business performance across key marketing and commercial initiatives.
• Analyze complex business and marketing data to generate actionable insights that support strategic decision-making and drive business growth.
• Build and maintain business dashboards and reporting tools, enabling stakeholders to effectively monitor campaign performance and key business metrics.
• Partner with business leaders to identify growth opportunities and translate data into strategic recommendations.
• Campaign Performance & ROI Optimization.
• Monitor and evaluate campaign investments, promotional strategies, and seller budget utilization to maximize marketing effectiveness and business ROI.
• Identify performance gaps and recommend optimization strategies to improve campaign efficiency, budget allocation, and commercial outcomes.
• Deliver regular business performance reviews, campaign forecasting, ROI analysis, and executive-ready recommendations to key stakeholders.
• Support major platform campaigns by providing performance tracking, business insights, and strategic recommendations throughout the campaign lifecycle.
• Cross-Functional Strategy & Business Partnership.
• Partner closely with Data Science and Analytics teams to design and improve automated reporting solutions and performance measurement frameworks.
• Collaborate with Campaign, Marketing, Category, Commercial, Creator Operations, and Product teams to identify business opportunities and optimize future marketing initiatives.
• Serve as a strategic business partner by providing analytical support and influencing cross-functional decision-making through data-driven insights.
• Drive continuous improvements in business performance through strong collaboration across local and regional teams.
• Team Leadership & Strategic Project Management.
• Lead and develop a team of strategy and business analytics professionals, fostering a culture of curiosity, ownership, collaboration, and continuous learning.
• Set team priorities and provide strategic direction based on business objectives, growth opportunities, and organizational priorities.
• Drive cross-functional strategic initiatives while ensuring alignment across stakeholders and effective execution of key business projects.
• Promote knowledge sharing, analytical excellence, and best practices to improve overall business outcomes.
• Bachelor's degree or above in Business, Economics, Marketing, Statistics, Data Analytics, or a related field.
• 4+ years of experience in business strategy, commercial strategy, business analytics, management consulting, marketing strategy, or related functions.
• Strong analytical skills with advanced proficiency in Microsoft Excel for handling large and complex datasets.
• Experience using business intelligence and data visualization tools such as SQL, Python, R, Tableau, or similar analytical platforms.
• Strong problem-solving, stakeholder management, and project management capabilities with the ability to influence cross-functional teams.
• Excellent communication skills with the ability to present data-driven insights to senior stakeholders.
• Experience in e-commerce, digital platforms, marketplaces, technology, consulting, or high-growth internet companies.
• Experience supporting large scale marketing campaigns, growth initiatives, or commercial strategy projects.
• Familiarity with dashboard development, business intelligence reporting, and performance measurement frameworks.
• Ability to balance strategic thinking with hands-on execution in a fast-paced and dynamic environment.

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Good Communication Skills, Problem Solving, Business Statistics / Analysis, Teamwork, Project Management, Thai, English

ประเภทงาน:

งานประจำ

• Coordinate with internal and external stakeholders for the flawless execution of projects.
• Ensure that all projects are delivered on-time, within its scope and expected result.
• Develop a detailed project plan to monitor and track project performance, specifically to analyze the successful completion of short and long-term goals, and able to see or sense of the preventive problem and proactively prevent it.
• Evaluating the success of the project against its benchmarking and sharing lessons or best practice with other organizations or project managers.
• Balance the relationship with the client and all stakeholders.
• Age 25-35 years old.
• A Bachelor s degree in any field especially in Human Resource, Business management, IT or equivalent.
• A minimum 2-year experience working in coordination field experiences.
• Systematic & creative thinking with ability to plan and solve the problem and be observant.
• Excellent decision-making and leadership capabilities.
• Solid organizational skills including attention to details and multitasking skills.
• Enjoy in design on story creation with photos or VDOs shooting and editing.
• Willing to learn and embrace change constantly.
• Strong interpersonal skills with working knowledge of Microsoft Office.
• Strong verbal and written communications skills are essential especially in Thai, and fair command of English.
• Visit our website at www.pacrimgroup.com for more information regarding our organization..

ทักษะ:

Statistics, Mechanical Engineering, Electrical Engineering, English

ประเภทงาน:

งานประจำ

• Project support: Planning, monitoring progress, and evaluating projects..
• Document and data management: Prepare reports, statistics, and manage various engineering documents..
• Coordination: Acting as a liaison between the engineering team, production department, and related agencies..
• Quality Control: Inspect and resolve basic issues in the workflow to reduce errors..
• Bachelor s degree or higher in Mechanical Engineering, Electrical Engineering, Energy Management, or related fields.
• Excellent communication skills with the ability to coordinate effectively.
• Proficient in analyzing problems and making decisions to resolve complex issues efficiently.
• Ability to work under pressure and manage time effectively.
• Proficient in English communication.
• Location: Bang Na (Bangkok Mall).

ทักษะ:

Statistics, SQL, SAS

ประเภทงาน:

งานประจำ

• Support the preparation and distribution of daily, weekly, and monthly business reports for the Collections Department.
• Assist in maintaining and updating regular and ad-hoc reports to ensure data accuracy and reporting consistency.
• Support data extraction, consolidation, and validation activities from multiple data sources.
• Perform report administration tasks including scheduling, report tracking, and documentation management.
• Coordinate with internal stakeholders to collect reporting requirements and follow up on business requests.
• Assist in maintaining automated reporting processes and support continuous improvement initiatives.
• Prepare basic dashboards and data visualizations to support operational monitoring and performance tracking.
• Support performance reporting for collectors, including report preparation and data compilation.
• Maintain reporting templates, standard operating procedures (SOPs), and reporting documentation.
• Assist the MIS team in investigating data discrepancies and supporting issue resolution.
• Support incentive calculation preparation and administrative activities for Collections programs.
• Perform other administrative and reporting support duties assigned by the team.
• QualificationsBachelor s degree in Business Administration, Information Systems, Computer Science, Statistics, or related fields.
• 1-3 years of experience in MIS Support, Reporting Support, Data Administration, Business Support, or related functions.
• Familiarity with reporting tools and databases such as SQL, SAS, Power BI, Tableau, Microsoft Access, and Excel.
• Strong Excel skills (Pivot Table, VLOOKUP/XLOOKUP, data cleansing).
• Basic understanding of data reporting, dashboard preparation, and data validation.
• Good coordination and communication skills with cross-functional teams.
• Detail-oriented with strong organizational and time management skills.
• Ability to manage repetitive operational tasks while maintaining accuracy.

ทักษะ:

Statistics, Big Data, Python

ประเภทงาน:

งานประจำ

• Formulates advance data analytic, predictive analytic to proactively solve problems and/or create solutions for future business needs (Krungsri Auto App).
• Data Cleansing and Processing-massage and organize data for further advance analytic.
• Correlate disparate datasets.
• Develop new analytical methods and machine learning models (Personalized offering, Event trigger on App).
• Identify new business questions that can add value to organization.
• Conduct causality experiments by applying A/B experiments or any sciences-based approach to identify what best for determined business objectives.
• Discover and create new data features leading to data solutions creation.
• Using data visualization technique and presenting clear outcome as storytelling.
• Apply now if you have these advantages.
• Bachelor degree in Computer Science, Mathematics Science, Statistics Science, Computer Engineering or whoever having confident and ability enough to called self as Data Scientist.
• Must have experience in personalize recommendation and offering for mobile application users.
• 5+ years of experience in Telecom, Banking, Financing and Insurance preferred having 2 industries from the lists.
• 2+ years of experience in Big Data or AI/ML projects.
• 2+ years of experience in Enterprise Data Warehouse and/or data mining.
• Experience in solving business questions projects.
• Strong in Mathematics & Statistics.
• Strong in programming skill: prefer R, Python, SQL.
• Why join Krungsri?.
• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Apply now before this role is close. **.
• FB: Krungsri Career(http://bit.ly/FacebookKrungsriCareer [link removed]).
• LINE: Krungsri Career (http://bit.ly/LineKrungsriCareer [link removed]).
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120
• สอบถามข้อมูลเพิ่มเติม: Talent Acquisition Center 0-2-----000.
• หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ.
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.
• EN (https://krungsri.com/b/privacynoticeen).
• ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง.
• ภาษาไทย (https://krungsri.com/b/privacynoticeth).

ทักษะ:

Risk Management, Research, Statistics

ประเภทงาน:

งานประจำ

• Responsibility for managing, and co-ordinating delivery of the ICAAP (Internal Capital Adequacy Assessment Process), including, but not limited to, drafting and setting the annual plan, ensuring all elements take place on a regular basis (monthly) and that it meets current Regulatory requirements.
• Responsible for driving, updating and refreshing the Enterprise Risk Strategy for Krungsri Group s and ensuring that it is aligned with the Business Strategy at all times.
• Own and manage the annual risk Appetite review process, monitoring monthly to ensure that Krungsri Group s remains within stated Risk Appetite, escalating in a timely manner when it is not.
• Develop and regularly review the bank s quantitative risk targets and limits, including nominal and risk-adjusted measures, and ensure that all limit breaches are reported and escalated promptly.
• Responsibility for providing forward-looking analysis of the risk profile by forecasting key capital, financial and risk variables.
• Ensuring compliance with relevant Policies, testing and certifying (or considers and escalates) the adequacy and effectiveness of the business s controls on a regular basis.
• Bachelor s degree or higher in Engineering, Operations research, Statistics, or a related field.
• 0-5 years experience in Risk Management, Credit Risk, or Data Analytics.
• Statistical Data Analysis and Database Management Tools.
• Understanding of risk-related regulation (i.e. Basel, AIRB) and accounting standards (i.e. IFRS) and its application and impact in the Retail and Corporate banking industry.
• Banking knowledge: bank products, bank competitors, credit analysis, portfolio analysis.
• Good knowledge of BOT regulation.
• Only shortlisted candidates will be contacted**.
• (https://krungsri.com/b/privacynoticeen).
• Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.
• FB: Krungsri Career.
• LINE: Krungsri Career.
• Talent Acquisition Department
• Bank of Ayudhya Public Company Limited
• 1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120..

ทักษะ:

Electronics, Statistics, Excel

ประเภทงาน:

ฝึกงาน

• we encourage you to apply early.
• Support daily platform operations across Fashion, Electronics, and FMCG clusters, ensuring smooth campaign and program execution.
• Update and maintain operational trackers, dashboards, and data files to support category teams and management reporting.
• Monitor seller and brand registration progress for campaigns, flagging gaps and following up with relevant stakeholders to ensure on-time completion.
• Respond to operational questions from internal teams, escalating where needed.
• Pull and consolidate data from internal tools to support performance tracking and post-campaign recaps.
• Support ad-hoc operational tasks, project execution, and process improvements as required.
• Currently pursuing or recently completed a Bachelor's degree in Business, Marketing, Economics, Statistics, or a related field.
• Strong Excel skills, including pivot tables, VLOOKUP/XLOOKUP, and basic formulas.
• Comfortable interacting with multiple stakeholders.
• Detail-oriented with strong follow-through on time-sensitive tasks.
• Quick learner able to pick up data pulling and platform tools after 1-2 walkthroughs.
• Available to commit at least 4-5 days per week for a minimum of 3 months.
• Preferred Qualifications.
• Familiarity with e-commerce, or similar marketplace platforms as a user.
• Genuine interest in e-commerce, digital marketing, or platform business models.
• If you have any questions, please reach out to us at [email protected].

ทักษะ:

Excel, Power BI, Statistics

ประเภทงาน:

ฝึกงาน

• we encourage you to apply early.
• Analyze business, media, and e-commerce performance data to extract insights across all products, providing support for strategic decision-making reviews & reporting.
• Utilize fundamental tools such as Excel, as well as business intelligence platforms like Looker Studio, and Power BI, to create and maintain data dashboards and reports.
• Collaborate with cross-functional teams, including media and e-commerce departments, to identify data requirements and regularly deliver performance analysis results.
• Identify repetitive and manual data tasks, drive process automation, and optimize data processing workflows.
• Conduct data quality checks to ensure consistency and accuracy in reporting.
• Build and maintain scalable, user-friendly data tools and templates (such as reports, trackers, evaluation benchmarks, etc.) to empower the team to respond efficiently to client needs.
• Co-drive strategic project(s) that lead to business impact.
• Currently pursuing an Undergraduate/Master in business, data science, economics, statistics, engineering, or a related field.
• Experience or strong interest in data visualization tools (Looker Studio, Tableau, Power BI, etc.).
• Eager to learn and comfortable working with large data sets and multiple stakeholders.
• Self-starter with a proactive attitude and the ability to manage multiple tasks simultaneously.
• Preferred Qualification(s).
• Strong analytical skills and proficiency in Excel/Sheets; familiarity with SQL, Python, or other scripting languages is a plus.
• Interest in media, e-commerce, or digital platforms is a bonus.
• 6 month commitment.
• If you have any questions, please reach out to us at [email protected].

ทักษะ:

Statistics, Multitasking, Power BI

ประเภทงาน:

งานประจำ

• วิเคราะห์และบูรณาการข้อมูลจากหลากหลายแหล่ง เช่น ข้อมูลลูกค้า ข้อมูลทางการตลาด และข้อมูลคู่แข่ง เพื่อสนับสนุนการตัดสินใจเชิงกลยุทธ์ในการริเริ่มและพัฒนาโครงการ.
• ประเมินความเป็นไปได้และโอกาสความสำเร็จของโครงการ พร้อมนำเสนอแนวทางในการปรับปรุง ปรับเพิ่ม หรือลดรูปแบบโครงการให้สอดคล้องกับข้อมูลและเป้าหมายทางธุรกิจ.
• ใช้ข้อมูลเชิงลึกในการคาดการณ์ผลลัพธ์ของโครงการ (Performance & Outcome) และจัดทำข้อเสนอแนะเชิงกลยุทธ์สำหรับผู้บริหารและผู้มีส่วนเกี่ยวข้อง.
• ติดตาม วัดผล และประเมินความสำเร็จของโครงการ พร้อมสรุปข้อค้นพบและข้อเสนอแนะเพื่อการพัฒนาอย่างต่อเนื่อง.
• รับผิดชอบการวิเคราะห์และขับเคลื่อนโครงการหลัก Service Champion เพื่อยกระดับคุณภาพการให้บริการของพนักงาน และสร้างประสบการณ์ที่ดีแก่ลูกค้า.
• สำเร็จการศึกษาระดับปริญญาตรีในสาขา Data Science, Statistics, Computer Engineering, Information Technology, Data Management หรือสาขาอื่นที่เกี่ยวข้อง.
• มีประสบการณ์ทำงานด้าน Data Analytics, Business Intelligence หรือ Data Strategy อย่างน้อย 8-12 ปี.
• มีประสบการณ์ในการบริหารทีมงานด้านข้อมูล หรือการบริหารโครงการด้านกลยุทธ์ข้อมูลอย่างน้อย 3-5 ปี.
• มีประสบการณ์ทางด้านการบริหารยอดขาย และการตลาด (คุณสมบัติจำเป็น).
• มีประสบการณ์ในธุรกิจค้าปลีก ร้านอาหาร ธุรกิจน้ำมัน หรือธุรกิจอาหารและเครื่องดื่ม (F&B) (คุณสมบัติจำเป็น).
• มีทักษะในการทำงานหลายด้านพร้อมกัน (Multitasking) มีภาวะผู้นำ และมีทักษะในการบริหารจัดการทีมที่ดี.
• มีความสามารถในการคิดเชิงกลยุทธ์และเชิงระบบ โดยสามารถเชื่อมโยงการดำเนินงานเข้ากับกลยุทธ์ทางธุรกิจได้อย่างมีประสิทธิภาพ.
• มีความเชี่ยวชาญในการใช้ Power BI รวมถึงเครื่องมือและโปรแกรมด้านการวิเคราะห์ข้อมูลอื่น ๆ ได้เป็นอย่างดี (คุณสมบัติจำเป็น).
• สามารถนำเครื่องมือวิเคราะห์ข้อมูลมาใช้ในการประมวลผล วิเคราะห์ และสรุปผลเชิงลึก เพื่อสนับสนุนการตัดสินใจทางธุรกิจอย่างมีประสิทธิภาพ.
• มีความเข้าใจในการจัดการข้อมูล การสร้างรายงาน และการนำเสนอข้อมูลในรูปแบบที่ชัดเจน เหมาะสมต่อผู้บริหารและผู้มีส่วนเกี่ยวข้อง.
• สามารถทำงานในประเทศไทยได้อย่างถูกต้องตามกฎหมาย.
• สามารถเดินทางไปปฏิบัติงานต่างจังหวัดได้ตามที่ได้รับมอบหมาย.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Business Statistics / Analysis, Thai, English

ประเภทงาน:

งานประจำ

• Develop monthly content plans & calendars aligned with campaign goals.
• Translate client objectives into clear content directions.
• Plan content based on marketing funnel (TOFU / MOFU / BOFU).
• Trend & Market Understanding.
• Stay updated with social media trends, formats, and audience behavior.
• Apply trends in a way that fits client branding and performance goals.
• Client & Team Coordination.
• Communicate directly with clients to understand their business deeply.
• Work closely with the graphic/design team to execute content ideas.
• Provide clear briefs, feedback, and direction to ensure quality output.
• Performance & Optimization.
• Analyze content performance and suggest improvements based on data.
• Work with Ads team to ensure content supports lead generation & conversion.
• Bachelor s degree (required).
• Experience in Content Planning / Social Media Strategy.
• Strong understanding of content structure and audience targeting.
• Ability to study and understand different business models quickly.
• Good communication skills (client-facing experience is a plus).
• Ability to work as a team player in a fast-paced environment.
• Responsible, proactive, and detail-oriented.
• Able to work on-site at the office.
• Bonus Skills.
• Basic knowledge of Meta Ads / TikTok Ads / Google Ads.
• Experience in a marketing agency or performance-driven environment.
• Ability to write both Thai and English content.
• Understanding of conversion-focused content (not just engagement).
• Why Join Us.
• Work directly with founders and high-level strategy.
• Exposure to real client businesses across multiple industries.
• Learn how content connects with ads, funnels, and revenue.
• Competitive salary + performance bonus.
• Hybrid working (WFH on Fridays).
• Team outing, party & company activities.
• Snacks, drinks & good vibes in the office.
• Work with real clients + fast career growth.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Sales, Market Research, Customer Relationship Management (CRM), Thai, English

ประเภทงาน:

งานประจำ

• Identify, develop, and close new business opportunities by offering tailored people development solutions to clients.
• Drive sustainable revenue through client acquisition and expanding existing accounts to meet sales targets.
• Serve as a trusted advisor, managing end-to-end engagements and ensuring the delivery of effective solutions.
• Keep abreast about industry trends, market demands, and emerging people development practices.
• Build and maintain strong relationships with HR leaders, decision-makers, and other key stakeholders to drive revenue growth.
• What experience do I need?.
• 0-8 Years in business analyst, consultative selling, or business development - preferably in a professional service industry.
• Fresh Graduate Welcome.
• What competencies should I have?.
• Strong prospecting skills.
• Exemplary phone manner.
• Consultative sales ability.
• Comfort in selling over the phone to consumers (B2C).
• Exceptional interpersonal and communication skills.
• Ability to network - connections to business communities.
• What are the must haves ?.
• Are fluent in business level of Thai and English.
• Value teamwork and collaboration.
• Potential and/or Interest to become trainer.
• University or College Degree in any relate field.
• What benefits would I receive?.
• Dale Carnegie s extensive training opportunities for personal and professional development.
• Highly global, professional, top quality and fun working environment.
• Breakthroughs for personal and career development.
• What is the compensation plan?.
• Salary structure with bonus program.
• Overrides on individual and team success and year-end bonus package.
• World-class benefits and welfare for all Gens.
• Trainer professional package when become a certified trainer.
• Interested applicants, please apply online at http://www.dalecarnegie.com/careers/ AND send your resume to [email protected]
• Dale Carnegie Thailand.
• 195 One Bangkok Tower 4, 15th Floor, Wireless Road, Lumpini, Pathumwan, Bangkok, 10330, Thailand.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ทักษะ:

Sales, Market Research, Customer Relationship Management (CRM), Thai, English

ประเภทงาน:

งานประจำ

• Identify, develop, and close new business opportunities by offering tailored people development solutions to clients.
• Drive sustainable revenue through client acquisition and expanding existing accounts to meet sales targets.
• Serve as a trusted advisor, managing end-to-end engagements and ensuring the delivery of effective solutions.
• Keep abreast about industry trends, market demands, and emerging people development practices.
• Build and maintain strong relationships with HR leaders, decision-makers, and other key stakeholders to drive revenue growth.
• What experience do I need?.
• 0-8 Years in business analyst, consultative selling, or business development - preferably in a professional service industry.
• Fresh Graduate Welcome.
• What competencies should I have?.
• Strong prospecting skills.
• Exemplary phone manner.
• Consultative sales ability.
• Comfort in selling over the phone to consumers (B2C).
• Exceptional interpersonal and communication skills.
• Ability to network - connections to business communities.
• What are the must haves ?.
• Are fluent in business level of Thai and English.
• Value teamwork and collaboration.
• Potential and/or Interest to become trainer.
• University or College Degree in any relate field.
• What benefits would I receive?.
• Dale Carnegie s extensive training opportunities for personal and professional development.
• Highly global, professional, top quality and fun working environment.
• Breakthroughs for personal and career development.
• What is the compensation plan?.
• Salary structure with bonus program.
• Overrides on individual and team success and year-end bonus package.
• World-class benefits and welfare for all Gens.
• Trainer professional package when become a certified trainer.
• Interested applicants, please apply online at http://www.dalecarnegie.com/careers/ AND send your resume to [email protected]
• Dale Carnegie Thailand.
• 195 One Bangkok Tower 4, 15th Floor, Wireless Road, Lumpini, Pathumwan, Bangkok, 10330, Thailand.

ทักษะ:

Compliance, Research, Python

ประเภทงาน:

งานประจำ

• Build and Optimize Modern AI Applications: Design and deploy a range of LLM-powered solutions, including Retrieval-Augmented Generation (RAG) pipelines, natural-language data querying, tool-using and function-calling workflows, and other Generative AI applications, to deliver accurate, grounded, and citable responses..
• Develop Statistical and Machine Learning Models: Develop, deploy, and maintain traditional statistical models and machine learning algorithms (e.g., regression, classification, clustering) to solve structured data problems and complement broader AI ini ...
• Collaborate with the Data Team: Work together on data preprocessing, embedding generation, and pipeline integration, leveraging the AWS enterprise data platform to supply clean, well-governed data for AI workloads..
• Optimize and Harden Production Services: Improve production AI services for reliability, scalability, latency, and cost, document solutions clearly, and communicate outcomes to both technical and non-technical stakeholders..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Monitor and Observe Production AI: Implement tracing, observability, and dashboards to track quality, latency, drift, and cost-per-task across the model lifecycle..
• Ensure AI Ethical Standards, Compliance, and Data Privacy: Apply input/output guardrails, PII redaction, access controls, and grounding safeguards, in alignment with internal data governance policies and emerging AI regulations..
• Mitigate AI-Assisted Development Risks: Critically evaluate and audit AI-generated code to prevent security vulnerabilities, logic flaws, and technical debt, ensuring deep technical understanding rather than over-reliance on automated code generation..
• Bachelor s Degree or higher in Computer Science, Artificial Intelligence, Data Science, Computer Engineering, or related technical field.
• 1 to 4 years of hands-on experience in AI/ML development, or an equivalent record of strong personal projects, research, or internships building applied AI/LLM solutions.
• Programming: Strong proficiency in Python for building AI/ML applications, including working with LLM APIs/SDKs and common AI libraries, as well as practical experience in data manipulation (e.g., using Pandas or SQL to clean and prepare data)..
• LLM Development: Hands-on experience building LLM-powered applications, including prompt design, tool/function calling, and connecting models to external data and tools..
• Retrieval & Vector Databases: Familiarity with vector databases, embedding models, and chunking/retrieval strategies (such as semantic chunking, hybrid search, and reranking)..
• Statistical Modeling & Machine Learning: Solid foundation in applied statistics, probability, and classical machine learning techniques. Proven ability to evaluate trade-offs and select the optimal modeling approach for specific business objectives..
• Cloud Computing: Experience with cloud platforms. AWS is the primary ecosystem for deploying and serving AI workloads, while familiarity with GCP or Azure is a welcome advantage..
• Engineering & LLMOps: Familiarity with version control (Git) and an awareness of general MLOps/LLMOps concepts (such as basic model testing, tracking performance, or managing prompts)..

ประสบการณ์:

2 ปีขึ้นไป

ทักษะ:

Good Communication Skills, Problem Solving, Fast Learner, Excel, Thai

ประเภทงาน:

งานประจำ

• Assist and guide sellers with store setup, product listing, and storefront optimization on Shopee, Lazada, TikTok Shop, and LINE Shopping..
• Receive and resolve back-end issues for sellers, such as product listing failures, payment system glitches, logistics issues, or account suspensions..
• Advise sellers on how to properly use various tools on each platform, such as stock management, promotion setup, and order checking..
• Coordinate and escalate cases to the customer service teams of each platform for issue resolution..
• Monitor terms, policies, and new features of each platform to accurately notify and advise sellers..
• Prepare summary reports on overall store status, and gather statistics and performance reports, such as issue resolution time and problem categories..
• Experience in Admin, Customer Service, or eCommerce support (Fresh graduates are welcome)..
• Experience using the back-end systems of Shopee, TikTok Shop, Lazada, or LINE Shopping is preferred..
• Proficient in Microsoft Excel, Word, and basic data entry tools..
• Detail-oriented, organized, and capable of handling large volumes of data during campaign periods..
• Eager and ready to continuously learn new digital tools and systems..
• Good communication and writing skills, with a service mind. Basic command of English is a plus..
• Location @Samyan Mitrtown | Work Hours: Mon - Fri 9.30 - 18.30.

ทักษะ:

ETL, Big Data

ประเภทงาน:

งานประจำ

• Pipeline Development: Support the design and maintenance of scalable ETL/ELT pipelines for structured and unstructured datasets..
• AI Data Readiness: Assist in building data ingestion flows for Vector Databases and supporting RAG (Retrieval-Augmented Generation) architectures..
• Data Modeling: Contribute to the creation of robust data models and Feature Stores that serve both traditional analytics and machine learning workloads..
• Data Quality & Operations.
• Validation & Cleaning: Implement automated scripts to ensure high data integrity, reliability, and performance across the platform..
• Cloud Optimization: Assist in monitoring cloud resource usage (GCP/AWS) to ensure cost-efficiency and low-latency data access..
• Engineering Collaboration: Work closely with senior engineers to document data lineage and ensure the architecture is built for long-term scalability..
• Experience: Entry-level to 2 years of experience in data engineering, backend development, or a related technical internship.
• Portfolio: Demonstration of coding ability through a Github repository or a portfolio of data projects (e.g., building a personal API, a data scraper, or a small-scale ETL project)..
• Education: Bachelor s degree in Computer Engineering, Computer Science, Statistics, or a related technical field..
• Python: Solid foundation in writing clean, modular Python code.
• SQL: Proficiency in writing and optimizing complex queries for data analysis.
• Cloud Knowledge: Familiarity with at least one major cloud provider (GCP or AWS) and basic understanding of services like BigQuery, Redshift, or S3.
• AI Awareness: Interest in how data engineering supports AI; basic knowledge of unstructured data or vector search is a plus..
• What We Offer.
• Hands-on Multi-Cloud Experience: Get direct exposure to large-scale data environments on GCP/AWS and modern orchestration tools..
• Innovative Tech Stack: Work with cutting-edge tools at the intersection of Big Data and AI, including Vector DBs and automated data quality frameworks..
• Growth & Mentorship: A supportive environment where you will learn from senior engineers and have a clear path for professional development..
• Impactful Work: See your data pipelines directly power real-time marketing decisions and AI-driven products..
• If you re ready to build the data foundation for the next generation of AI, apply now!.

ประเภทงาน:

งานประจำ

• New graduates or experience less than 1 years are welcome.
• Bachelor s or Master s degree in Economics, Accounting, Finance, Engineering, Statistics and related field with.
• minimum GPA 3.00.
• interest in financial products, financial advisory, and credit analysis.
• Good communication and presentation skills with confidence in interacting with internal customers.
• Service-minded, proactive, and eager to learn in a fast-paced banking environment.
• Able to communicate in English. (Preferable)..
• Area & Segment: Small Segment-Metropolitan Area.