เงื่อนไขการค้นหา

ทักษะ:

Product Development, Tableau, SQL

ประเภทงาน:

งานประจำ

• Identify valuable data sources and automate collection processes.
• Undertake preprocessing of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.
• Build predictive models and machine-learning algorithms.
• Combine models through ensemble modeling.
• Present information using data visualization techniques.
• Propose solutions and strategies to business challenges.
• Collaborate with engineering and product development teams.
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred.
• Proven experience as a Data Scientist or Data Analyst.
• Experience in data mining.
• Experience using business intelligence tools (e.g. Tableau).
• Knowledge of SQL and Python.
• Understanding of machine-learning and operations research.
• Analytical mind and business acumen.
• Strong math skills (e.g. statistics).
• Problem-solving aptitude.
• Excellent communication and presentation skills Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• 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).
• 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.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

GIS, Research, English, Thai

ประเภทงาน:

งานประจำ

• RIMES was formally established on 30 April 2009 and registered with the United Nations on 1 July 2009. It operates from its regional early warning center located at the Asian Institute of Technology (AIT) campus in Pathumthani, Thailand..
• Position Description: The Hydrologist involves developing and operationalizing impact forecasting tools by using advancing scientific methodologies and co-production of services with clients, and supporting capacity building among stakeholders and will provide technical expertise for impact forecasting (IBF) for hydrological extreme e ...
• The position will report to the Project Manager and technical leadership, and will coordinate closely with modeling, data science, and system development teams.
• Master s or higher degree in Hydrology, Water Resources Engineering, or related field is essential.
• Bachelor s degree level certificates / certified training courses in atmospheric science, disaster management, agriculture and other related fields is desirable.
• Knowledge Skills and Abilities:.
• Demonstrated ability to integrate hydro-meteorological forecasts into impact flood and droughts risks.
• Skilled in using GIS and remote sensing data for hydrological risk mapping.
• Demonstrated knowledge of flood hydrodynamic model, flood and drought hazard forecast products and vulnerability data analysis.
• Demonstrated knowledge in Python, R, or similar programming tools used for meteorological analysis, calculation, and visualization (including SPI, SPEI, NDVI, VCI, rainfall deviation, and soil moisture anomalies).
• Experience in working with WMO-compliant forecasting systems and climate service frameworks is highly desirable.
• Excellent communication and stakeholder coordination skills, with prior work in multi-agency or international contexts.
• Demonstrated ability to manage and deliver results under tight timelines.
• Application of ML models (regression, classification, clustering) for drought forecasting is highly desirable.
• Proficiency in technical documentation and user training..
• Minimum of 5 years of experience in hydrological modelling and flood forecasting.
• At least 3 years of experience in operational flood forecasting.
• Proven track record in analyzing meteorological and hydrological patterns, designing forecasting systems, and integrating multi-disciplinary datasets.
• Proven experience with operational flood models (e.g., HEC-RAS, MIKE 11, Delft-FEWS, LISFLOOD).
• Experience in multi-stakeholder projects and facilitating capacity-building programs..
• Personal Qualities.
• Strategic thinker with strong analytical and solution-oriented capabilities in applied climate science.
• Self-driven and capable of working independently while maintaining accountability and initiative.
• Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
• Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
• Professional, respectful, and proactive in both independent and team-based work settings..
• Major Duties and Responsibilities.
• Impact based forecasting.
• Collaborate with meteorologists to ensure seamless coupling between weather and hydrological forecasts of extreme hydrological events -Floods /Droughts.
• Downscale and customize hydrological forecasts to specific locations of interest.
• Analyze and interpret high-resolution hydrological forecast products in probabilistic terms for hazard forecasting.
• Conduct analyses of hydrological patterns and their historical impacts.
• Collaborate with meteorological/climatological AI/ML experts, GIS analysts, and disaster risk professionals for model fusion and automation.
• Integrate hazard (probabilistic) forecast data with geospatial datasets on population, infrastructure, historical damage, and socio-economic vulnerability to assess likely impacts and transform into impact forecast data/impact matrices.
• Produce urban-level risk and vulnerability maps..
• Early Warning.
• Rapid onset hydrological hazards ( Flood /Flash floods ).
• Integrate remote sensing, ground-based, and model data for comprehensive flood situation monitoring.
• Co-design and implement sector-specific early warning protocols for National/ State disaster management agencies.
• Set up alerts and thresholds for flood /flash flood early warning dissemination using automated systems.
• Generate daily / weekly flood situation reports and dashboards.
• Assist Scenario Based Emergency Response Planning for flood / flash flood events..
• Slow onset hydrological hazard ( Drought ).
• track and assess drought conditions using multiple indicators (SPI, NDVI, rainfall anomalies, reservoir status, soil moisture, etc.).
• Integrate remote sensing, ground-based, and model data for comprehensive drought situation monitoring.
• Generate weekly /monthly drought situation reports and dashboards.
• Set up alerts and thresholds for early warning dissemination using automated systems.
• Assist Scenario Based Emergency Response Planning for flood / flash flood events..
• Contingency Planning & Risk Mitigation.
• Develop and update district-wise drought/flood contingency plans in collaboration with line departments.
• Identify vulnerable regions, sectors particularly agriculture/ urban /industrial zones, and communities at risk.
• Recommend flood / drought mitigation and adaptation measures based on data trends and risk profiles.
• Preparation of Comprehensive Flood Mitigation Plans with River Basin Approach..
• Data Automation & Visualization.
• Automate the ingestion and processing of meteorological, hydrological, and agricultural datasets.
• Build region-wise interactive maps and graphs to visualize drought/flood severity and trends..
• PDNA and Impact Assessments.
• Support Post-Disaster Needs Assessments (PDNA) for drought/flood events.
• Contribute to loss estimation, sectoral damage analysis, and recovery planning.
• Collaborate with field officers to validate ground reports and align with national/international PDNA frameworks..
• Capacity Building and Stakeholder Engagement, and Reporting.
• Facilitate training programs for user and stakeholders, focusing on RIMES forecasting tools.
• Prepare and implement training programs to enhance team capacity and submit training outcome reports.
• Prepare technical reports, progress updates, and outreach materials for stakeholder.
• Maintain comprehensive project documentation, including strategies, milestones, and outcomes.
• Capacity-building workshop materials and training reports..
• Other Responsibilities.
• Utilize domain knowledge to assist in system implementation plans and decision support system (DSS) development.
• Assist 24/7 operational readiness for client early warning systems, with backup support from RIMES Headquarters.
• Undertake additional tasks as assigned by the Immediate Supervisor or HR Manager based on recommendation from RIMES technical team members and organizational needs.
• The above responsibilities are illustrative and not exhaustive. Undertake any other relevant tasks that could be needed from time to time.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Land Surveying, GIS, Python, English, Thai

ประเภทงาน:

งานประจำ

• The position will report to the Project Manager and technical leadership, and will coordinate closely with modeling, data science, and system development teams.
• Master s or higher degree in Atmospheric Science, Meteorology, Oceanic Science, Environmental Science, or similar disciplines..
• Demonstrated expertise in dynamic model or AI/ML-based predictive modeling tools and platforms, and geospatial analysis tools including NWP, GG-Earth engine, GIS software (ArcGIS, QGIS).
• Strong knowledge of disaster risk modeling, including integration of forecast products with hazard, exposure, and vulnerability data to support impact-based decision-making.
• Proficiency in programming languages and tools such as Python, R, or similar platforms used for meteorological data analysis, automation, and visualization.
• Experience with WMO-compliant forecasting systems and working knowledge of climate service frameworks is highly desirable.
• Excellent communication and coordination skills, with proven experience engaging diverse stakeholders across multi-agency, regional, or international contexts.
• Demonstrated ability to manage tasks and deliver results under tight timelines, with a solution-oriented and collaborative work ethic.
• Minimum of 3 years of relevant experience in meteorology, hydrology, disaster risk modeling, or related fields. Demonstrated expertise in numerical weather prediction (NWP) models, ensemble forecasting, and now casting techniques.
• At least 2 years of hands-on experience in operational forecasting, with preference for work involving multi-hazard early warning systems (MHEWS).
• Proven track record in analyzing meteorological and hydrological patterns, designing impact-based forecasting systems, and integrating multi-disciplinary datasets to support decision-making.
• Experience in managing multi-stakeholder projects and facilitating training or capacity-building programs, particularly in collaboration with government agencies, research institutions, and community-based organizations.
• Personal Qualities.
• Strategic thinker with strong analytical and solution-oriented capabilities in applied climate science.
• Self-driven and capable of working independently while maintaining accountability and initiative.
• Effective collaborator with the ability to work in multicultural, interdisciplinary teams and manage cross-sectoral engagement.
• Detail-oriented and results-focused, with adaptability in dynamic and evolving operational environments.
• Professional, respectful, and proactive in both independent and team-based work settings..
• Major Duties and Responsibilities.
• Core Technical Functions.
• Downscale and customize meteorological and climate forecasts to specific geographic locations of interest.
• Analyze and interpret high-resolution weather and climate forecast products in probabilistic terms (e.g., IMD, INCOIS, NCMRWF, ECMWF, WRF,etc), with a focus on high-impact extreme events such as cyclones, storm surges, tsunamis, floods (urban & riverine), extreme rainfall, lightning and heatwaves.
• Integrate forecast uncertainty, risk, and consequence factors to transform meteorological data into actionable hazard forecasts.
• Collaborate with AI/ML experts, GIS analysts, and disaster risk professionals for model integration, automation, and performance enhancement.
• Co-design and validate disaster risk models in collaboration with the RIMES IT team to improve model accuracy and operational reliability.
• Co-design and implement sector-specific early warning protocols for national and state disaster management authorities.
• Support the development of decision-support tools and interactive dashboards for communicating forecast-based risk insights to emergency planners and end-users.
• Deliver capacity-building workshops and training programs to strengthen the technical skills of national meteorological and disaster risk management institutions on IBF methodologies.
• Contribute to the preparation of localized impact outlooks and early warning bulletins and develop the sector-specific hazard risk maps and forecast-based early warning templates.
• Contribute to the generation of impact forecast bulletins and the development of technical documentation, including SOPs and IBF guidance notes for disaster management stakeholders..
• Capacity Building and Stakeholder Engagement and Documentation.
• Facilitate training programs for internal teams and external stakeholders, covering RIMES policies, operational procedures, and the use of forecasting tools and systems.
• Lead training and implementation of IBF models for IT and disaster management teams.
• Prepare comprehensive technical reports, progress updates, and outreach materials for stakeholders, including senior officials and executives.
• Maintain detailed project documentation including strategies, workflows, milestones, outcomes, and impact assessments.
• Prepare and maintain Standard Operating Procedures (SOPs) for project-based services and ensure continuity of critical operations, including data management, forecasting workflows, system maintenance, and other essential functions. These SOPs will serve as reference documents to standardize practices, minimize disruptions, and ensure accountability across all activities.
• Compile capacity-building workshop content, training materials, and post-event reports..
• Other Responsibilities.
• Provide technical inputs to support system implementation and development of decision-support systems (DSS) for early warning and risk reduction.
• Support operational readiness for client early warning systems, including participation in 24/7 support rotations, with backup from RIMES Headquarters.
• Undertake additional responsibilities as assigned by the immediate supervisor or HR manager, based on organizational needs and recommendations from RIMES technical teams.
• Perform any other tasks relevant to the role as may be required from time to time.

ประสบการณ์:

ไม่จำเป็นต้องมีประสบการณ์ทำงาน

ประเภทงาน:

งานประจำ

• วางแผนกลยุทธ์การวิจัยการตลาด เพื่อสำรวจข้อมูลจากภายนอก (Outside-in) ทั้งในด้านเทรนด์ตลาด คู่แข่ง สินค้าทดแทน พฤติกรรมการใช้สื่อ และ มูลค่าการใช้สื่อของแบรนด์ เก็บข้อมูลจากแหล่งข้อมูลเชิงคุณภาพ และ เชิงปริมาณ ออกแบบกลุ่มเป้าหมาย และ กำหนดกรอบแนวคิด เพื่อค้นหาโอกาสทางธุรกิจ และ ช่องว่างทางการตลาดได้อย่างมีประสิทธิภาพเพื่อเป็นเครื่องมือให้กับทางบริษัททีมขายของบริษัท
• ดำเนินการวิจัยและรวบรวมข้อมูล ตั้งแต่การเจาะลึก Pain Points และ Motivation ของลูกค้าในการใช้สื่อ การทำงานร่วมกับทีม Data Analyst เพื่อเชื่อมโยงข้อมูลภายนอกกับข้อมูลลูกค ...
• วิเคราะห์ข้อมูลและสังเคราะห์ผลลัพธ์ เพื่อจัดทำรายงานและเครื่องมือทางกลยุทธ์ที่เข้าใจง่าย ตัวอย่าง เช่น Customer Persona, Jobs to be Done (JTBD), Client Opportunity Map, Client Campaign & budget, และ Competitor Analysis เพื่อนำเสนอ Insight และส่งมอบข้อเสนอแนะได้อย่างมีประสิทธิภาพ
• ประสานงานกับทีมที่เกี่ยวข้องทั้งภายในและภายนอกองค์กร เพื่อวิเคราะห์ร่วมกัน ดูแลความถูกต้องของข้อมูล และส่งมอบข้อมูลที่ช่วยสนับสนุนการตัดสินใจทางธุรกิจได้อย่างมีประสิทธิภาพ
• ติดตามเทรนด์ความเปลี่ยนแปลงของโลก ความเคลื่อนไหวในอุตสาหกรรมเพื่อนำมาปรับปรุงกลยุทธ์การค้นหาโอกาสทางธุรกิจให้ทันเหตุการณ์และมีประสิทธิภาพ.
• ปริญญาตรีหรือโท สาขาการตลาด, บริหารธุรกิจ, เศรษฐศาสตร์, สังคมศาสตร์ หรือสาขาที่เกี่ยวข้อง
• มีประสบการณ์ด้าน Market research, Insight, Strategy 1-3 ปีขึ้นไปจะพิจารณาเป็นพิเศษ
• มีความรู้และประสบการณ์เชี่ยวชาญด้านการวิจัยตลาด (Market Research), การวิจัยลูกค้า (Customer Research) และการวิจัยเชิงคุณภาพ (Qualitative Research) เพื่อค้นหาข้อมูลเชิงลึกจากภายนอก รวมถึงมีทักษะในการคิดวิเคราะห์และสังเคราะห์ข้อมูลเพื่อค้นหาโอกาสทางธุรกิจ
• มีความรู้และความเข้าใจในการใช้เครื่องมือต่างๆ เช่น Google Suite, Excel, Google Slides, PowerPoint เครื่องมือทำแบบสอบถาม เช่น Google Forms, Typeform และสามารถประยุกต์ใช้ AI เพื่อช่วยในการค้นคว้าและสรุปข้อมูลได้อย่างมีประสิทธิภาพ
• มีทักษะการนำเสนอและการเล่าเรื่องจากข้อมูล (Insight Storytelling) และมีความสามารถในการสื่อสารเพื่อเปลี่ยนข้อมูลซับซ้อนให้เป็นกลยุทธ์ที่เข้าใจง่ายได้เป็นอย่างดี
• มีความสามารถในการคิดอย่างเป็นระบบ และสามารถทำงานร่วมกับทีมอื่นๆ ได้อย่างมีประสิทธิภาพ
• สนใจเรียนรู้และ อัปเดต เทรนด์พฤติกรรมผู้บริโภค, ความเปลี่ยนแปลงของสังคม และเครื่องมือการวิจัยใหม่ๆ อย่างต่อเนื่อง
• สามารถทำงานร่วมกับผู้อื่นได้ดี มีความรับผิดชอบสูงและสามารถทำงานได้ตามกำหนดเวลา สามารถปฏิบัติงานภายใต้สภาวะกดดันได้อย่างมีประสิทธิภาพ และมีความกระตือรือร้นในการเรียนรู้และพร้อมทำงานเป็นทีม.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Compliance, Microsoft Office, Excel, English

ประเภทงาน:

งานประจำ

• Improve the customer database quality and animate the retail teams to share best practices in customer data capture and data security.
• Ensure regular monitoring of the customer database by developing dedicated analyses and reports.
• Improve the customer data quality through the in-house data quality management tool by deduplicating customers and fix means of contact in error.
• Develop assets to train sales team on customer data management.
• Manage and ensure the compliance of customer database and its security.
• Be responsible for customer knowledge for the subsidiary by sharing retail, omnichannel, and customer-oriented insights.
• Analyze customer behaviors and retail performance, and share the analysis with all retail stakeholders to support strategic decisions.
• Anticipate local trends and customer structure evolution thanks to in-depth customer analyses.
• Accompany the customer targeting initiative with CRM analyses.
• Ensure the data quality and relevancy of the clienteling activities.
• Centralize and harmonize all customer performance related reports of the subsidiary.
• Identify the local Customer Performance KPIs to be monitored.
• Develop and maintain new local reports to follow customer KPIs by store on a regular basis.
• Define the customer performance dashboard and report strategy to streamline the existing report package.
• Act as an ambassador of customer excellence, championing the adoption and impact of customer management tools.
• Collaborate and have regular meetings with retail teams to understand customer insights and seek room for improvement on customer data usage.
• Support the wider team with driving initiatives to develop relationships and create special moments for customers.
• Contribute to the organization of customer events, including invitations, outreach, RSVPs, and logistics.
• Lead and deploy the group projects in subsidiary according to local market specificities.
• Accompany and implement group analytics initiatives, such as customer segmentations, and animate them across the subsidiary.
• Work in close collaboration with CX, OPS, Retail Compliance, and IT teams to deploy projects related to customer relations and data.
• University graduates in related disciplines with at least 3 - 5 years of experiences in CRM or customer data management, preferably in retail or hospitality business environment.
• Proficiency in Microsoft Office suite (Advanced Excel is a must).
• Good knowledge in BI tools (Power BI and/or Cognos IBM) is a plus.
• Ability to analyze and synthesize.
• Customer and business oriented.
• Organized, precise, adaptable, with a balance of strategy and execution.
• Discretion and confidentiality as priority.
• Demonstrated strong interpersonal skills with a team player attitude.
• Ability to work independently and to adapt to a fast-paced, changing environment.
• Fluent in English with excellent oral and written communication skills.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Product Development, Publishing, Statistics

ประเภทงาน:

งานประจำ

• Department: Marketing.
• Company: บริษัท จีเอ็มเอ็ม มิวสิค จำกัด (มหาชน).
• Analyze data from various channels to develop business strategies, such as increasing sales, recommending suitable marketing campaigns, or providing insights for product development.
• Identify correlations across diverse data sources to perform a thorough analysis.
• Prepare data for analysis by designing data ingestion processes, creating data warehouses, defining related data dimensions, and ensuring data readiness. Additionally, determine methods for data publishing across different channels to maximize utility.
• Perform data visualization and reporting to communicate insights effectively..
• Bachelor s degree in Statistics, Finance, Economics, Computer Science, or a related field.
• At least 3 years of experience in data management and development.
• Advanced skills in Excel or Google Sheets.
• Previous experience with Power BI, Google Data Studio, or dashboards.
• Basic familiarity with tools such as Fanpage Karma or Supermetrics.
• Ability to manage and integrate data from multiple sources.
• Strong attention to detail, high responsibility, and at least 1 year of experience in the data field..
• ประสบการณ์ 1 ปีขึ้นไป.
• จำนวน 1 อัตรา.

ทักษะ:

Excel, English

ประเภทงาน:

งานประจำ

• Analyze operational processes and recommend improvements to enhance efficiency and effectiveness.
• Collect, interpret, and report data related to operational performance.
• Develop and implement standard operating procedures (SOPs).
• Collaborate with cross-functional teams to resolve operational issues.
• Support the implementation of new systems and technologies.
• Prepare regular reports for management on operational metrics and KPIs.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Proficiency in data analysis tools (e.g., Excel, PowerBI).
• Proficiency in English communication is advantageous.
• Ability to work independently and as part of a team.

ทักษะ:

Internal Audit, Risk Management, Korean

ประเภทงาน:

งานประจำ

• Review management strategy and performances.
• Review and follow up on management issues related to all Business Units including the Indochina branch.
• Review and forecast Company Evaluation (PIMS) & Monthly Evaluation (RHQ) including lead discussions for Score improvement including send VOC to HQ.
• Support Report request from HQ Internal Audit and Business health check team.
• Support Presentation Preparation and Meeting arrangement for Top Management visits from HQ, RHQ. Local Political, Economic, FX issue-reporting Accident & Misconduct related reporting & follow up.
• CO Closing] Analyze profits and provide insights to all related parties for better decision-making.
• Support Consolidated profit allocation related issues with HQ GBM support team.
• Manage Yearly Management Plan & Monthly Quick, Target Planning Schedule & process from Pre-Simulation to final analysis & reporting to respective GBMs.
• Budget & Investment Control] Monitor budget plan & alert Top management on discrepancies. e.g. SD, Marketing, OPEX. Investment Budget related System management.
• [Policy & Procedure Management] Develop and manage internal policies and processes according to corporate accounting standards and changing business conditions. Deploy new HQ policies and processes to related teams.
• Skills and Qualifications.
• Has a wide range of experience. Uses professional knowledge and company objectives to analyze & resolve complex issues in creative and effective ways.
• Manage & coordinate with multi departments to deliver HQ, RHQ Top management reporting (including President, Korean BM, HODs).
• Manage & coordinate with multi departments related to Policy & Procedure Management and.
• Risk Management to deploy new policies and resolve issues including Special Case resolution.

ประสบการณ์:

2 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Your missions
• Develop and maintain data ingestion pipelines from multiple data sources
• Support the design and execution of ETL/ELT processes
• Assist in building and optimizing data models and datasets
• Work with cloud-based data platforms (AWS, Azure, or GCP)
• Ensure data quality, consistency, and integrity across systems
• Monitor data pipelines and troubleshoot data-related issues
• Collaborate with data engineers, analysts, and business stakeholders
• Contribute to documentation and best practices for data processes
• Your profile
• 0-2 years of experience in Data Engineering, Data Analytics, or related field
• Basic understanding of ETL processes and data pipelines
• Knowledge of SQL and relational databases
• Familiarity with Python or other scripting languages is a plus
• Exposure to cloud platforms (AWS, Azure, or GCP) is an advantage
• Strong analytical and problem-solving skills
• Proactive mindset with willingness to learn and grow
• Good communication skills in English
• What we offer
• Opportunity to work on real-world data projects with international clients
• Exposure to modern data technologies and cloud environments
• Continuous learning through training and mentoring
• A dynamic, collaborative, and multicultural work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ทักษะ:

Compliance, Mechanical Engineering, AutoCAD, English

ประเภทงาน:

งานประจำ

• Preparing, scheduling, coordinating and monitoring the assigned engineering projects.
• Monitoring compliance to applicable codes, practices, QA/QC policies, performance standards and specifications.
• Interacting daily with the clients to interpret their needs and requirements and representing them in the field.
• Ensures policies, practices and procedures are understood and followed by direct reports, customers and stakeholders.
• Bachelor s Degree in Electrical or Mechanical Engineering.
• Engineering license is a must.
• Minimum 8-10 years work experience in Project Planning electrical system or fuel system experience in building,data center or oil and gas project.
• Excellent computer literacy and knowledge of design and visualization software.
• With strong interpersonal skills in maintaining client relationship.
• Good command of English communication.
• Must be a good team player and possess self-motivated driven working style.
• Excellent knowledge of design and visualisations software such as AutoCAD.
• Requisition Number: 229934 Job Function: Engineering

ประสบการณ์:

1 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Assist in developing and maintaining data pipelines and ETL processes under guidance.
• Support workflow scheduling and monitoring using Apache Airflow.
• Work with large datasets using tools such as Apache Spark (training or hands-on exposure).
• Assist in developing backend/data services using Python or C# (.NET/.NET Core).
• Support database operations and basic optimization for MS SQL, PostgreSQL, or MySQL.
• Work with object storage solutions such as MinIO or similar platforms.
• Collaborate with data analysts and engineers to support data requirements.
• Help ensure data quality, integrity, and basic security practices across data pipelines.
• Bachelor s degree in Computer Science, Computer Engineering, Software Engineerign, Information Technology or a related field.
• 1 - 2 years of experience as a Data Engineer or similar role.
• Basic proficiency in Python or C# (.NET/.NET Core).
• Familiarity with SQL and relational databases (MS SQL, PostgreSQL, MySQL).
• Familiarity with ClickHouse or other columnar databases is a plus.
• Exposure to Apache Airflow, Apache Spark, or similar tools is a plus.
• Understanding of basic ETL concepts and data processing workflows.
• Familiarity with object storage (e.g., MinIO) is a plus.
• Basic understanding of data warehousing or data modeling concepts.
• Strong willingness to learn, problem-solving mindset, and attention to detail.
• Good communication skills and ability to work in a team environment.
• Fluent in Thai with good command of English.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, Apache, Python, English

ประเภทงาน:

งานประจำ

• Develop and maintain scalable data pipelines and ETL processes.
• Build and orchestrate workflows using Apache Airflow.
• Process large datasets using Apache Spark.
• Design and develop backend services using Python and C# (.NET/.NET Core).
• Manage and optimize databases including MS SQL, PostgreSQL, and MySQL.
• Work with object storage solutions such as MinIO.
• Collaborate with data analysts and software engineers to meet data needs.
• Ensure data quality, security, and integrity across all data pipelines.
• Bachelor s degree in Computer Science, Computer Engineering, Software Engineerign, Information Technology or a related field.
• 3-5 years of experience as a Data Engineer or similar role.
• Proficient in Python and C# (.NET/.NET Core).
• Hands-on experience with Apache Airflow and Apache Spark.
• Familiarity with message queue or streaming platforms such as Kafka is a plus.
• Strong knowledge of relational databases: MS SQL, PostgreSQL, MySQL.
• Familiarity with ClickHouse or other columnar databases is a plus.
• Familiar with MinIO or other object storage platforms.
• Understanding of data warehousing concepts and data modeling.
• Strong problem-solving and communication skills.
• Good communication and teamwork skills.
• Thai native level with good command of English.

ประเภทงาน:

งานประจำ

• We are looking for a Data & AI Consultant (Mid-level) to support data-driven projects and AI initiatives.
• In this role, you will be responsible for preparing, transforming, and structuring data to enable efficient analytics and machine learning use cases, while ensuring alignment with business requirements.
• Your missions
• Design, develop, and maintain ETL pipelines and data workflows
• Prepare and structure data to support AI/ML and Data Science teams
• Build and optimize data models for analytics and reporting purposes
• Develop Power BI dashboards and visualizations for business stakeholders
• Ensure data quality, consistency, and integrity across systems
• Collaborate with data engineers, data scientists, and business teams
• Translate business needs into technical data solutions
• Support integration of data across multiple systems and sources
• Contribute to continuous improvement of data processes and architecture
• Your profile
• Mid-level experience in Data Engineering, Data Analytics, or related field
• Strong knowledge of ETL processes and data transformation
• Experience in data modeling and structuring datasets
• Hands-on experience with Power BI or similar BI tools
• Understanding of how to prepare data for AI/ML use cases
• Basic understanding of cloud environments (AWS, Azure, or GCP) is a plus
• Strong analytical and problem-solving mindset
• Good communication skills in English
• What we offer
• Opportunity to work on data and AI transformation projects
• Exposure to modern data stack and cloud technologies
• Continuous learning and professional development
• A collaborative, international, and dynamic work environment
• At Amaris Consulting, we are committed to fostering an inclusive environment where diversity is valued and respected. We promote equal opportunities and believe that diverse perspectives strengthen our teams and our ability to deliver excellence.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

Power BI, Python, SQL, English

ประเภทงาน:

งานประจำ

• Build propensity model to select leads at partner s site.
• Track portfolio performance and work with marketing team to find innovative ways to improve portfolio performance.
• Document processes, code, and model decisions for transparency and reproducibility.
• Build and maintain reports / dashboards (Power BI and Power Pivot).
• Bachelor s or Master s degree in computer science, Engineering, or related field.
• 1-3 years of hands-on experience in data analyst / data science.
• Strong proficiency in Python and SQL for data manipulation and propensity model development.
• Proficiency in Power BI.
• Excellent problem-solving and communication skills.
• Good command in English.

ประสบการณ์:

8 ปีขึ้นไป

ทักษะ:

English

ประเภทงาน:

งานประจำ

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 7 years of Electrical experience (e.g., electrical testing equipment or electrical distribution) in an industrial or commercial environment.
• Ability to participate in material handling tasks such as lifting, carrying or moving upto 50 lbs (23 kg) of equipment, the required use of safety equipment such as limited weight bearing work platforms, ladders, step stools and personal protective equ ...
• Ability to work non-standard hours and differing work rotations/shifts.
• 8 years of experience in the facilities field including operating and maintaining mission critical facilities (e.g, data centers, hospitals, pharma, semiconductor, refineries, power plants, etc).
• Experience as Competent Electrical Engineer or Professional Engineer or Professional Engineer with Practicing Cert or Registered Electrical Energy Manager.
• Experience performing maintenance on electrical or controls systems and independently resolving common system failures.
• Knowledge of safety rules and regulations associated with operating complex infrastructure.
• Ability to communicate in English and Thai in order to communicate with contractors who perform maintenance or upgrade work on the data center systems.
• The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).
• As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.
• As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.
• The AI and Infrastructure team is redefining what s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
• We're the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
• Inspect, maintain, and repair various data center systems.
• Provide daily assistance to technicians as you read blueprints/schematics/sequence of operations, conduct tours of systems, and assess their working order.
• Manage the uptime and maintenance of UPS, generators, electrical distribution, and control and monitoring systems.
• Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
• Support startup, commissioning, and integration of new electrical equipment and systems into facilities infrastructure.
• Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Compliance, Mechanical Engineering, AutoCAD, English

ประเภทงาน:

งานประจำ

• Preparing, scheduling, coordinating and monitoring the assigned engineering projects.
• Monitoring compliance to applicable codes, practices, QA/QC policies, performance standards and specifications.
• Interacting daily with the clients to interpret their needs and requirements and representing them in the field.
• Ensures policies, practices and procedures are understood and followed by direct reports, customers and stakeholders.
• Bachelor s Degree in Electrical or Mechanical Engineering.
• Engineering license is a must.
• Minimum 5 years work experience in Project Planning electrical system or fuel system experience in building,data center or oil and gas project.
• Excellent computer literacy and knowledge of design and visualization software.
• With strong interpersonal skills in maintaining client relationship.
• Good command of English communication.
• Must be a good team player and possess self-motivated driven working style.
• Excellent knowledge of design and visualisations software such as AutoCAD.
• Requisition Number: 217161 Job Function: Engineering

ประสบการณ์:

3 ปีขึ้นไป

ประเภทงาน:

งานประจำ

• Support and maintain monthly ETL processes for actuarial data workflows.
• Provide technical support for Actuarial and Reinsurance teams.
• Develop, modify, and maintain stored procedures, SQL scripts, and SSIS packages.
• Investigate and resolve data quality and consistency issues.
• Perform technical troubleshooting and root cause analysis for data-related problems.
• Assist in developing and maintaining data pipelines and integration workflows.
• Prepare and maintain technical documentation for data processes and systems.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Contribute to process improvements and knowledge sharing within the team.
• ABOUT YOU
• 0-3 years of experience in Data Engineering, Data Analytics, or a related field.
• Hands-on experience with SSMS, SSIS, Databricks, and Azure Cloud Services.
• Proficiency in T-SQL / SQL, with experience in Spark and Python.
• Strong understanding of Microsoft SQL Server (MSSQL) and Azure Blob Storage.
• Growth mindset with a proactive and solution-oriented attitude.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills in English and Thai, both written and spoken.
• Nice to have
• Knowledge of the insurance industry, particularly Actuarial or Reinsurance domains.
• Familiarity with WTW Unify or IBM DB2 (AS400) environments.
• WHY AMARIS?
• Global Diversity: Be part of an international team of 110+ nationalities, celebrating diverse perspectives and collaboration.
• Trust and Growth: With 70% of our leaders starting at entry-level, we're committed to nurturing talent and empowering you to reach new heights.
• Continuous Learning: Unlock your full potential with our internal Academy and over 250 training modules designed for your professional growth.
• Vibrant Culture: Enjoy a workplace where energy, fun, and camaraderie come together through regular afterworks, team-building events, and more.
• Meaningful Impact: Join us in making a difference through our CSR initiatives, including the WeCare Together program, and be part of something bigger.
• Equal opportunity
• Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability or other characteristics.
• Who are we?
• Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade - this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We're focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.
• Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!
• Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!
• Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.
• As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
• We look forward to meeting you!

ทักษะ:

Data Analysis, SQL, Problem Solving, English

ประเภทงาน:

งานประจำ

• Working closely with business and technical domain experts to identify data requirements that are relevant for analytics and business intelligence.
• Implement data solutions and data comprehensiveness for data customers.
• Working closely with engineering to ensure data service solutions are ultimately delivered in a timely and cost effective manner.
• Retrieve and prepare data (automated if possible) to support business data analysis.
• Ensure adherence to the highest standards in data privacy protection and data governance.
• Bachelor s of Master s Degree in Computer Science, Computer Engineering, or related.
• Minimum of 1 Year with relational/non-relational database systems and good command in SQL.
• Ability to meet critical deadlines and prioritize multiple tasks in a fast-paced environment.
• Ability to work independently, have strong problem solving and organization skills, with a high initiative and a sense of accountability and ownership.
• Experience with cloud-based platforms such as AWS, Google Cloud platform or similar.
• Experience in data processing batch / real time / nearly realtime.
• Experience with data integration or ETL management tools such as AWS Glue, Databrick,or similar.
• Experience with web or software development with Java,Python or similar.
• Experience with Agile methodology is a plus.
• Good in communication and writing in English.
• Good interpersonal and communication skills.

ประสบการณ์:

5 ปีขึ้นไป

ทักษะ:

Power BI, SQL, Analytical Thinking

ประเภทงาน:

งานประจำ

• Integrity: Be honest and ethical | Do what is right.
• Excellence: Hold ourselves to high standards | Be thoughtful, thorough, and disciplined.
• Care: Be respectful and inclusive | Look after each other | Contribute to the well-being of our communities and the environment.
• Courage: Take initiative and make a difference | Think boldly and act with conviction | Take personal ownership.
• Resilience: Be determined and persevere | Be purposeful and steadfast in our principles.
• Develop data products by implementing robust data models and transforming raw data into trusted, reusable datasets using DBT and Snowflake.
• Design and implement scalable logical and physical data models following enterprise standards.
• Monitor and optimize data deployment and production workflows to ensure data quality, integrity, consistency, and reliable performance across multiple sources.
• Support data visualization dashboards using Power BI, ensuring accuracy for stakeholders.
• Analyze business data requirements and translate them into technical specifications and solutions.
• Maintain clear documentation for data pipelines, processes, and workflows.
• Skills and Qualifications.
• Bachelor s degree or higher in Computer Engineering, Computer Science, IT, or related fields.
• 0-5 years of experience as a Data Engineer or related roles.
• Strong SQL skills and experience with data modeling (e.g., star schema).
• Hands-on experience or familiarity with Snowflake, DBT, Azure, ADF, and GitHub workflows.
• Strong analytical thinking, problem solving ability, quick learning capability, and a growth mindset.
• Excellent written and verbal communication skills and ability to work collaboratively in team environments.
• Fluent in English (TOEIC 750+, TOEFL iBT 98+, or IELTS 6.5+).
• Snowflake certifications (SnowPro Core, SnowPro Advanced - Data Engineer).
• DBT certifications (Analytics Engineering, DBT Architect).
• Azure certifications (AZ 900, DP 900).
• Experience with data warehouse technologies (e.g., Snowflake, HANA).
• Experience with programming languages for data manipulation (e.g., Python).
• Experience with version control and CI/CD (e.g., Git, GitHub, GitHub Workflows).
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Experience or knowledge of Agile methodologies.
• Experience with Qlik Replicate, NiFi, Fivetran).
• Experience with programming skills in languages such as Python, or Java.
• English language (TOEIC, TOEFL, IELTS) - Score with over 2 years is valid to upload.
• Education Transcript, Certificates - both Bachelor s and Master s Degree (if any).
• Military Documents ( สด.8 หรือ สด. 43 ) - for male only.
• Your benefits.
• An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance, and life.
• Competitive benefits and compensation.
• Premium medical health plan & life insurance Full coverage OPD (for actual reasonable amount necessary for treatment).
• Limit out-of- pocket for IPD.
• Dental fee coverage.
• Annual medical check-up.
• Provident fund contribution rate 5% to 15% of salary.
• Contribution 5% of salary to employee savings plan.
• Housing loan subsidy.
• Workplace flexibility.
• 10 to 20 days annual vacation.
• 5 days personal business leave Special occasion leaves e.g. Birthday, Wedding or Graduation.
• Skills training & development program.
• Tuition assistance.
• Eligibility and details may vary according to work location, service year and conditions in each program/plan.
• Please note benefits may be changed from time to time without notice, subject to the direction and discretion of the Company and/or applicable law.
• Application Process.
• Please be informed that only shortlisted candidates will be notified, and you can find out more about our hiring process here.
• For more information about business solicitation and recruiting scams, please click here.
• We thank you for your interest in ExxonMobil. .
• Stay connected with us.
• Learn more at our website.
• Follow us onLinkedIn and X.
• Like us on Facebook.
• Subscribe our channel at YouTube.
• Equal Opportunity Employer.
• ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.
• Corporate Separateness Statement.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.
• Functional Skills.
• Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.
• Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

ประสบการณ์:

3 ปีขึ้นไป

ทักษะ:

ETL, TensorFlow, Statistics

ประเภทงาน:

งานประจำ

• Designing and developing data integration (including batch/real-time, ETL/ELT) processes with a variety of structured and unstructured data with tools such as Informatica, Talend, Pentaho PDI or AWS Glue.
• Applying analytical models to predict business outcomes with tools such as Dataiku, DataRobot or TensorFlow, Keras or pyTorch.
• Good understanding of AI/ML processes and algorithms like k-means clustering, propensity models, text analytics, predictive models.
• Your role as a leader: At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We connect our purpose and shared values to identify issues as well as to make an impact that matters to our clients, people and the communities. Additionally, Senior Consultant across our Firm are expected to:Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• Requirements:A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Machine learning and big data activities and demonstrate value through use cases. Applied experience in 2 or more types of machine learning problem classes- forecasting, prediction, segmentation, optimization and cognitive use cases.
• Proficient at data quality assessment, data exploration, profiling, design and development of analytic data sets, statistical analysis and machine learning modelling, application of new types of algorithms for predictive modelling, segmentation, forecasting, and optimization.
• Work on development of new data science solutions iteratively by building quick POCs and converting ideas into real products.
• Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Have a passion for delivering quality code and ensuring the team's deliverables meet or exceed client expectations.
• Good foundation in data science, with competencies in data structures, algorithms and coding.
• 3-5 years of experience in data science building supervised, unsupervised and/or optimization models leading to business impact. Comfortable working cloud environments and big data / scalable computing.
• Experience with AWS or GCP machine learning platform or python or R.
• Experience with tools such as Dataiku, DataRobot.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that 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: 114154In 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.