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Skills:

Microsoft Office

Job type:

Full-time

• Analyze plant processes and develop control strategies to optimize performance and safety.
• Review design for selection and specify instrumentation sensors, actuators, and control equipment.
• Review design and configure Distributed Control Systems (DCS) and Programmable Logic Controllers (PLC).
• Review design and develop human-machine interfaces (HMI) for plant operation and monitoring.
• Review instrument loop calculations and sizing for optimal system performance and assist Piping and instrument diagrams (P&ID).
• Review design and development of I&C engineering deliverables, control systems, shutdown PLC hardware and software design.
• Review datasheet / calculation for control valves, safety relieve valves, flow elements, restriction orifice; thermowell wake frequency and selection of the suitable valve, etc.
• Participate in Factory acceptance test and site acceptance test.
• Review and assist major Control System vendors from technical bidding stage until installation and commissioning completion.
• Review project bidding package, technical bid evaluation, Bill of Quantity, etc.
• Job QualificationsBachelor s Degree or higher in Control and Instrument Engineering or a related field.
• At least 5 years experience in Control & Instrument Engineering design firm.
• Strong understanding of control system principles, including feedback loops, signal processing, and PID control.
• Proficient in using C&I engineering software tools (e.g., DCS/PLC programming languages, HMI development tools).
• Experience with relevant C&I codes and standards (e.g., ISA, IEEE).
• Fluent in English verbal, written, computer, and technical communication and presentation skills, including proficiency in Microsoft Office.
• Experience in power generation, renewable energy, solar, hydropower, gas and infrastructure & utilities would be an advantage.
• Ability to travel/ work upcountry and abroad for unusual.
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Ability to travel/work upcountry and abroad.
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Apache, Compliance, Automation

Job type:

Full-time

• Design, develop, and maintain robust and scalable data pipelines using tools such as Apache Airflow, PySpark, and cloud-native services (e.g., Azure Data Factory, Microsoft Fabric Pipelines)..
• Manage data ingestion from APIs, files, and databases into data lakes or data warehouses (e.g., Microsoft Fabric Lakehouse, Iceberg, DWS)..
• Ensure seamless data integration across on-premise, cloud, and hybrid environments..
• Implement data validation, standardization, and transformation to ensure high data quality..
• Apply data encryption, masking, and compliance controls to maintain security and privacy standards..
• AI & Intelligent AutomationCollaborate with Data Scientists to deploy ML models and integrate predictive insights into production pipelines (e.g., using Azure Machine Learning or Fabric Notebooks)..
• Support AI-powered automation and data insight generation through tools like Microsoft Co-pilot Studio or LLM-powered interfaces (chat-to-data)..
• Assist in building lightweight AI chatbots or agents that leverage existing datasets to enhance business efficiency..
• Qualifications & Skills3-5+ years of experience in Data Engineering or AI Engineering roles.
• Proficiency in Python, SQL, and big data frameworks (Apache Airflow, Spark, PySpark)..
• Experience with cloud platforms: Azure, Huawei Cloud, or AWS.
• Familiar with Microsoft Fabric services: OneLake, Lakehouse, Notebooks, Pipelines, and Real-Time Analytics..
• Hands-on with Microsoft Co-pilot Studio to design chatbots, agents, or LLM-based solutions..
• Experience in ML model deployment using Azure ML, ModelArts, or similar platforms.
• Understanding of vector databases (e.g., Qdrant), LLM orchestration (e.g., LangChain), and prompt engineering is a plus.

Skills:

Procurement

Job type:

Full-time

• Support construction and commissioning of hydropower plant control systems ensuring performance, safety, and reliability.
• Support the EPC team in engineering, procurement, and construction of control and instrumentation systems for the hydropower project.
• Review design and develop human-machine interfaces (HMI) for plant operation and monitoring.
• Review and specify instrumentation (flow, pressure, level, temperature sensors, control valves, actuators) for auxiliary systems.
• Review datasheet / calculation for control valves, safety relieve valves, flow elements, restriction orifice; thermowell wake frequency and selection of the suitable valve, etc.
• Support installation, calibration, and commissioning of control systems and field instruments.
• Participate in technical bid evaluations and ensure all C&I deliverables meet hydropower construction standards and project requirements.
• Job Qualifications.
• Bachelor s Degree or higher in Control and Instrument Engineering or a related field.
• At least 5 years experience in Control Engineering.
• Experience in power generation, renewable energy, solar, hydropower, gas and infrastructure & utilities would be an advantage.
• Strong understanding of control system principles, including feedback loops, signal processing, and PID control.
• Proficient in using C&I engineering software tools (e.g., DCS/PLC programming languages, HMI development tools).
• Experience with relevant C&I codes and standards (e.g., ISA, IEEE).
• Fluent in English both written and verbal (Minimum 750 TOEIC score).
• Ability to travel/work upcountry and abroad.
• Goal-Oriented, Unity, Learning, Flexible.

Skills:

Research, Big Data, Full Stack, English

Job type:

Full-time

• Develop customer and business insights to identify business opportunities or resolve business challenges, and provide actionable recommendations to guide business decisions.
• Prepare data from different data sets for building analytical models and delivering customer insights and recommendations to guide business decisions.
• Communicate findings and build buy-in with key stakeholders through data visualizations.
• Deliver pre and post campaign analysis to guide the design and optimization of analytical models and personalized marketing campaigns.
• Design, develop, and deploy analytical models and advanced analytic solutions using statistical techniques and machine learning technologies.
• Work with engineers to implement end-to-end process from model development to testing, validation, deployment, and lifecycle support.
• Research and Development on novel data science and analytics tools and ML/AI technology.
• Background/ Experiences.
• 3+ years of Experience working with customer-centric data at big data-scale and applying machine learning, optimization and statistical methods to large datasets in various industries: financial services, telecom, retails, insurance, e-commerce, or related industries.
• Strong statistical knowledge, superior analytical abilities, and good knowledge of business intelligence solutions.
• Full stack experience in data collection, aggregation, analysis, visualization, productionisation, and monitoring of ML products - MLOps.
• Experience in being able to translate business needs into executable data science and analytics solutions.
• Proven track record in client engagement, relationship building, and project management is PLUS.
• Knowledge & Skills.
• Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering).
• Deep understanding of mathematics and statistical modeling, predictive modeling, and machine-learning algorithms with hands-on experience with Machine Learning frameworks.
• Excellent Proficiency in programing languages (SQL, R, Python) and Experience with business intelligence solutions (Tableau, PowerBI or Advanced Excel).
• Hand-on experience in data engineering, working with big data technology (Spark/Hadoop) and cloud platforms such as Azure, AWS, or GCP.
• Excellent verbal, written, and interpersonal communication skills (both Thai and English).

Experience:

2 years required

Skills:

Research, Python, SQL

Job type:

Full-time

• Develop machine learning models such as credit model, income estimation model and fraud model.
• Research on cutting-edge technology to enhance existing model performance.
• Explore and conduct feature engineering on existing data set (telco data, retail store data, loan approval data).
• Develop sentimental analysis model in order to support collection strategy.
• Bachelor Degree in Computer Science, Operations Research, Engineering, or related quantitative discipline.
• 2-5 years of experiences in programming languages such as Python, SQL or Scala.
• 5+ years of hands-on experience in building & implementing AI/ML solutions for senior role.
• Experience with python libraries - Numpy, scikit-learn, OpenCV, Tensorflow, Pytorch, Flask, Django.
• Experience with source version control (Git, Bitbucket).
• Proven knowledge on Rest API, Docker, Google Big Query, VScode.
• Strong analytical skills and data-driven thinking.
• Strong understanding of quantitative analysis methods in relation to financial institutions.
• Ability to clearly communicate modeling results to a wide range of audiences.
• Nice to have.
• Experience in image processing or natural language processing (NLP).
• Solid understanding in collection model.
• Familiar with MLOps concepts.

Skills:

Statistics, Big Data, SQL

Job type:

Full-time

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

Skills:

Data Analysis, Big Data, Statistics, English

Job type:

Full-time

• Work collaboratively with data engineers and data architects to acquire new data from internal and external source systems.
• Support business initiatives and projects by performing data wrangling and exploratory data analysis, discovering trends and patterns, building predictive models and machine learning algorithms, etc., based on the CRISP-DM methodology and agile approach.
• Stay up to date with big data and analytical techniques, such as machine learning, d ...
• Provide analytics expertise, directions and guidance to business leads through turning insights into business action so as to improve sales and customer profitability.
• Present summary of analyses including data monetization on large datasets using advanced analytics tools and data visualization techniques.
• Lead implementation of AI models and business rules incorporated in automated business processes.
• Bachelor's degree or higher in Data Science, Statistics or related fields.
• AI and machine learning professional certification.
• More than 3-5 years of experience in data science and big data using tools, e.g., SPSS, SAS, Alteryx, Spark, Jupyter Notebook and Databricks.
• Excellence communication in Thai and English.

Skills:

Statistics, Python, TensorFlow, English

Job type:

Full-time

• Design, build, and scale AI and GenAI features within Manatals recruitment platform.
• Lead the development of: AI agents for candidate screening and communication.
• Semantic search and matching engines.
• Resume parsing in multiple languages.
• Generative tools for resume/job summarization, enrichment, and candidate sourcing.
• Natural language interfaces using LLMs (e.g., OpenAI, Claude, Mistral).
• Own end-to-end ML and GenAI workflows: data preparation, model training/fine-tuning, evaluation, and production deployment.
• Continuously evaluate and optimize models for accuracy, latency, and cost.
• Collaborate with product and engineering teams to deliver robust, scalable, and user-friendly AI features.
• Stay up-to-date with the latest research, tools, and APIs in AI and GenAI and bring innovative ideas into the product.
• Help define best practices for safe, efficient, and reliable deployment of AI/GenAI systems in production.
• Bachelors or Masters degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
• Proven experience as a software engineer, with ownership of features deployed in production environments.
• Solid understanding of the full software development lifecycle, including CI/CD, monitoring, and observability in high-load systems.
• Strong programming skills in Python, with hands-on experience using libraries like NumPy, Pandas, Scikit-learn, Transformers, and TensorFlow or PyTorch.
• Experience working with LLMs (e.g., OpenAI, Claude, Mistral) and frameworks for GenAI development (LangChain, PromptLayer, etc.).
• Solid grounding in machine learning algorithms supervised, unsupervised, and deep learning.
• Experience with experiment design, model evaluation, A/B testing, and metrics-driven development.
• Proficiency in SQL and working with large datasets (data cleaning, feature engineering, etc.).
• Good knowledge of cloud infrastructure, especially AWS (e.g., S3, EC2, Lambda).
• Familiarity with containerization and orchestration tools (e.g., Docker, ECS, Kubernetes).
• Strong understanding of modern web application architectures and APIs.
• Excellent communication skills and ability to work cross-functionally.
• Experience in a B2B SaaS environment is a strong plus.
• Bonus: exposure to MLOps practices (model versioning, monitoring, retraining pipelines).
• Working with Manatal.
• This role is based at our Bangkok office in the heart of the city center.
• As a team of diverse cultures and nationalities, English language proficiency is required.
• We enjoy collaborating in person and the team is working on-site.
• Why you'll enjoy working with Manatal.
• Well-funded start-up backed by Surge & Sequoia.
• Be part of one of the fastest-growing B2B SaaS start-ups in the region.
• You will be collaborating with talented individuals in the industry.
• Join a lively and highly international team.
• Indulge in a challenging and innovative working culture.
• Attractive medical healthcare plan.
• Personal development allowance.
• 2 weeks of work from anywhere per year.
• Regular fun team-building activities.
• Company trip.
• Our Tech Stack.
• Our engineering team leverages a variety of modern technologies. While working with Manatal, you can expect to be exposed to the following stack.
• Infrastructure: Amazon Web Services; Kubernetes; GitOps (ArgoCD), Github Actions.
• Backend: Language: Python; Web Frameworks: Python frameworks including Django, Fast API; Databases: PostgreSQL, MongoDB, ElasticSearch, and Redis among others; Other: Celery, RabbitMQ among others.
• Frontend: Javascript & Vue.JS.
• Apply on our Careers Page
• If you are a fit for this role and excited to join Manatal, please follow this link to apply https://www.careers-page.com/m.
• Watch our Demo
• https://www.youtube.com/watch?v=-GG1GqXkAKQ
• https://www.youtube.com/watch?v=VjinpYMUMoc.
• Manatal Hiring
• At Manatal, we are dedicated to building an intuitive AI-powered applicant tracking system to streamline and transform the entire hiring and recruitment process.
• We are devoted to attracting the best talent worldwide to join our team and take pride in being an equal-opportunity workplace. We are committed to equal employment opportunities regardless of religion, race, ethnicity, ancestry, national origin, gender, gender identity, sex, sexual orientation, marital or parental status, disability, age, citizenship or other class protected by applicable law.

Skills:

Sales, Finance, Statistics

Job type:

Full-time

• Drive the end-to-end AI and Advanced Analytics initiatives to support CP Axtra s Retail & Wholesale businesses.
• Develop and execute a forward-looking AI strategy that delivers measurable impact on revenue growth, cost efficiency, and customer engagement.
• Serve as a bridge between business and technology, ensuring AI adoption and scaling across multiple business units.
• Stay updated on global and local AI trends, including Generative AI, personalization, forecasting, and optimization, to strengthen CP Axtra s competitive edge.
• Analytics and AI Execution.
• Lead the design, development, and deployment of machine learning and AI models, including personalization engines, pricing optimization, demand forecasting, inventory management, and GenAI/NLP applications.
• Oversee experimentation, validation, and monitoring of AI/ML models to ensure scalability, reliability, and business integration.
• Ensure close collaboration with data engineering teams to enable robust pipelines and MLOps for production-grade solutions.
• Business Partnership.
• Partner with Retail Operations, Marketing, Sales, Supply Chain, Finance, and IT to co-create AI use cases and drive adoption.
• Build strong relationships with stakeholders to align priorities, communicate trade-offs, and manage expectations effectively.
• Act as a trusted advisor to senior executives, translating complex AI insights into actionable recommendations.
• Evangelize the value of AI and data-driven decision-making across the organization.
• People Leadership and Collaboration.
• Mentor and coach a team of data scientists and analysts, fostering a culture of innovation, experimentation, and continuous learning.
• Promote cross-functional collaboration with Business Intelligence and Data Engineering teams to deliver integrated solutions.
• Encourage knowledge sharing and build internal AI/ML capability to strengthen organizational maturity.
• Performance Monitoring and Optimization.
• Define and monitor success metrics for AI initiatives, such as sales uplift, campaign ROI, operational cost reduction, and customer lifetime value.
• Continuously assess and optimize AI-driven processes to maximize business impact.
• Share learnings, case studies, and success stories to build trust and ensure alignment with business leaders.
• Bachelor s degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related field (Master s or PhD strongly preferred).
• 5+ years of experience in data science, advanced analytics, or AI applications (experienced in Retail or Wholesale domain preferred).
• Proven experience delivering AI/ML solutions from ideation to production with measurable business outcomes.
• Proficiency in Python, R, SQL, and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Familiarity with GenAI and NLP frameworks (e.g., LLMs, LangChain, RAG pipelines).
• Familiarity with cloud-based data platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Spark, Hadoop, Databricks).
• Experience with data visualization tools (e.g., Power BI, Tableau) and modern MLOps practices.
• Strong stakeholder management and communication skills across technical and business functions.
• Proven ability to prioritize and deliver projects with business impact.
• Understanding of retail and wholesale operations, including customer journey, pricing, promotion, assortment, and supply chain optimization.
• Demonstrated success in driving AI adoption, gaining executive buy-in, and scaling solutions across organizations.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Experience:

2 years required

Skills:

Assurance, Statistics, Risk Management

Job type:

Full-time

• Work as a specialist team under IT, Data, and Analytic team (ITDA) for both IT Audit Support and IT Assurance/Advisory engagements.
• Analyze & formulate IT and Business cases into practical analytics solutions.
• Provide Data Analytics & Visualization services to support Financial Audit team or Clients directly in order to meet their requirements.
• Develop analytics models and solutions by using predictive analytics, statistics, optimization, machine learning, optimal sampling, experimental design and other techniques.
• Deliver clear and actionable recommendations to all stakeholders, esp for Data-related.
• Perform any other tasks or assignments related to Data Analytics & Visualization and others IT Audit services.
• 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, Consultants / Senior Consultants across our Firm are expected to:Demonstrate a strong commitment to personal learning and development.
• Understand how our daily work contributes to the priorities of the team and business.
• Understand the set expectations and demonstrate accountability in keeping personal performance on track.
• Actively focus on developing effective communications and relationship-building skills with stakeholders, clients and team.
• Demonstrate an appreciation for working with others.
• Understand what is fundamental to Deloitte s success as a business.
• Demonstrate integrity and an awareness of strengths, differences, and personal impact.
• Develop their understanding of Deloitte and offer a fresh perspective.
• RequirementsBachelor's Degree or above in quantitative fields such as Data Science/Analytics, AI, Engineering, Computer Science/Engineering, Statistics, Mathematics, or related fields.
• At least two years experience in Data Analytic & Visualization related fields.
• Experiences in IT Audit & Advisory or IT Audit / Risk Management / Compliance in other corporate companies (e.g., Financial Service, Telecommunication, Consumer Products) would be advantage.
• Hands-on experiences in using Data Analytic & Visualization tools (e.g., R, Python, Tableau, PowerBI, SQL, etc) is a must.
• Ability to analyze and break down complex items and interpret technical findings into business implication that can be communicated to Financial Audit team and Clients Management.
• Basic understanding of Audit concept, IT regulatory requirements (e.g., BOT, SEC, OIC, PDPA), and IT-related controls & standards (e.g., ISO27001, COBIT, ITIL, NIST).
• Can do and professional "get it done" attitudes, and fast moving.
• Good analytical, problem-solving, communication and presentation skills.
• Can work under pressure both independently and a part of team.
• Due to volume of applications, we regret only shortlisted candidates will be notified. Candidates will only be contacted by authorized Deloitte Recruiters via firm s business contact number or business email address. Requisition ID: 109800In Thailand, the services are provided by Deloitte Touche Tohmatsu Jaiyos Co., Ltd. and other related entities in Thailand ("Deloitte in Thailand"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Thailand, which is within the Deloitte Network, is the entity that is providing this Website.

Skills:

Research, Python, TensorFlow

Job type:

Full-time

• Design and develop state-of-the-art AI models and algorithms to solve complex business challenges.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement and optimize AI systems to ensure high performance, scalability, and reliability.
• Continuously research and stay up-to-date with the latest advancements in AI and machine learning.
• Mentor and guide junior team members, sharing your expertise to drive team growth and development.
• Work closely with the business to identify new opportunities for AI-driven innovation.
• 8+ years of experience in software engineering, with a strong focus on AI and machine learning.
• Proficient in Python, TensorFlow, PyTorch, or other popular AI/ML frameworks.
• Solid understanding of AI algorithms, neural networks, and deep learning techniques.
• Experience in designing and implementing scalable, production-ready AI solutions.
• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent communication skills to effectively collaborate with cross-functional teams.
• A passion for staying up-to-date with the latest AI advancements and technologies.

Job type:

Full-time

• We are looking for a skilled Data Engineer to join our team and help build and maintain our data infrastructure. The ideal candidate will be responsible for designing, implementing, and managing our data processing systems and pipelines. You will work closely with data scientists, analysts, and other teams to ensure efficient and reliable data flow throughout the organization.
• Design, develop, and maintain scalable data pipelines for batch and real-time processing.
• Implement ETL processes to extract data from various sources and load it into data warehouses or data lakes.
• Optimize data storage and retrieval processes for improved performance.
• Collaborate with data scientists and analysts to understand their data requirements and provide appropriate solutions.
• Ensure data quality, consistency, and reliability across all data systems.
• Develop and maintain data models and schemas.
• Implement data security measures and access controls.
• Troubleshoot data-related issues and optimize system performance.
• Stay up-to-date with emerging technologies and industry trends in data engineering.
• Document data architectures, pipelines, and processes.
• Bachelor's degree in Computer Science, Engineering, or a related fields 2. 2-4 years of experience in data engineering or similar roles 3. Strong programming skills in Python, Java, or Scala 4. Proficiency in SQL and experience with relational databases (e.g., Databrick, PostgreSQL, MySQL) 5. Familiarity with cloud platforms (AWS, Azure, or Airflow) and their data services 6. Knowledge of data warehousing concepts and ETL best practices 7. Experience with version control systems (e.g., Git) 8. Understanding of data cleansing, data modeling and database design principles 9. Solid problem-solving skills and attention to detail 10. Good communication skills and ability to work with technical and non-technical team members.
• Experience with Azure data platform (ADF, Databrick) 2. Familiarity with data visualization tools (e.g., Tableau, Power BI) 3. Knowledge of stream processing technologies (e.g., Kafka, API, Google Big Query, MongoDB, SFTP sources) 4. Experience with containerization technologies (e.g., Docker).
• Experience to deal with large data and optimization skill in development.
• Understanding of machine learning concepts and data science workflows.

Skills:

Power BI, Tableau, SQL

Job type:

Full-time

• Data Lifecycle Management: A Data PM oversees the entire lifecycle of data projects, from data acquisition, integration, and storage to analysis and visualization. This involves significant understanding of technical processes and data systems.
• Collaboration with Technical Teams: Work closely with engineers, data scientists, and IT teams to ensure data pipelines and infrastructures align with project goals. This requires a deep understanding of technical jargon, workflows, and dependencies.
• Monitoring and Reporting: Track project progress and provide regular updates and rep ...
• Mastery of Technical Tools and Platforms.
• BI Tools: Power BI, Tableau.
• Project & Code Collaboration: GitHub, JIRA, Confluence.
• Cloud Systems: AWS, Azure, Google Cloud for data solutions.
• The role often requires working knowledge of SQL, Python, or other languages to interpret project outcomes, test processes, and validate results.
• Technical Decision-Making Authority.
• System Architecture: A Data PM may decide how data systems should be architected or what infrastructure to adopt based on project requirements.
• Tool Selection: Selecting appropriate analytics tools, databases, or platforms for project success is a regular part of the role.
• Ensuring Data Integrity: Data governance, accuracy, and validation are all technical concerns within a Data PM s purview.
• Challenges of the Data PM Role.
• Translate business needs into data requirements.
• Collaborate meaningfully with technical teams on implementation.
• Ensure compliance with technical standards (e.g., data security, privacy).
• Bachelor's or master's degree in a relevant field, such as Data Science, Computer Science, Business Administration, or Supply Chain Management.
• 3-5 years of experience in Project Management or a similar role, preferably in Data or IT domains.
• Strong understanding of Retail, Wholesale, or Supply Chain processes.
• Proficient in project management tools like Jira, Trello, or Microsoft Project.
• Experience with Agile/Scrum methodologies.
• Familiarity with.
• Data Analytics: SQL, Python, or other languages to interpret project outcomes.
• Data Engineering: Data pipelines, ETL processes, data storage systems.
• Data Science: Algorithms, machine learning models, statistical analysis, A/B testing.
• Technical Roadblocks: Anticipating and resolving issues like system integration, latency, and scalability.
• Excellent communication and stakeholder management skills.
• Proficient in English communication.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy.".

Skills:

Big Data, SQL, Hadoop

Job type:

Full-time

• Develop and maintain robust data pipelines to ingest, process, and transform raw data into formats suitable for LLM training.
• Conduct meeting with users to understand the data requirements and perform database design based on data understanding and requirements with consideration for performance.
• Maintain data dictionary, relationship and its interpretation.
• Analyze problem and find resolution, as well as work closely with administrators to monitor performance and advise any necessary infrastructure changes.
• Work with business domain experts, data scientists and application developers to identify data that is relevant for analysis.
• Develop big data solutions for batch processing and near real-time streaming.
• Own end-to-end data ETL/ELT process framework from Data Source to Data warehouse.
• Select and integrate appropriate tools and frameworks required to provide requested capabilities.
• Design and develop BI solutions.
• Hands-on development mentality, with a willingness to troubleshoot and solve complex problems.
• Keep abreast of new developments in the big data ecosystem and learn new technologies.
• Ability to effectively work independently and handle multiple priorities.
• Bachelor degree or higher in Computer Science, Computer Engineering, Information Technology, Management Information System or an IT related field.
• 3+ year's experiences in Data Management or Data Engineer (Retail or E-Commerce business is preferrable).
• Expert experience in query language (SQL), Databrick SQL, PostgreSQL.
• Experience in Big Data Technologies like Hadoop, Apache Spark, Databrick.
• Experience in Python is a must.
• Experience in Generative AI is a must.
• Knowledge in machine/statistical learning, data mining is a plus.
• Strong analytical, problem solving, communication and interpersonal skills.
• Having good attitude toward team working and willing to work hard.
• CP AXTRA | Lotus's
• CP AXTRA Public Company Limited.
• Nawamin Office: Buengkum, Bangkok 10230, Thailand.
• By applying for this position, you consent to the collection, use and disclosure of your personal data to us, our recruitment firms and all relevant third parties for the purpose of processing your application for this job position (or any other suitable positions within Lotus's and its subsidiaries, if any). You understand and acknowledge that your personal data will be processed in accordance with the law and our policy. .

Skills:

Financial Analysis, Risk Management, Finance

Job type:

Full-time

• Lead the development of financial strategies to support long-term corporate growth and value creation.
• Analyze digital asset markets, including cryptocurrencies such as Bitcoin, and evaluate investment opportunities and associated risks.
• Build and maintain complex financial models to support scenario planning, strategic initiatives, and investment decisions.
• Apply AI, machine learning, and advanced analytical techniques to enhance financial forecasting, predictive analytics, and decision-making.
• Collaborate directly with the CEO, CFO, and senior management to guide corporate strategy and capital allocation decisions.
• Evaluate potential mergers, acquisitions, partnerships, or other strategic investments, providing thorough financial analysis and recommendations.
• Advise on financial engineering solutions, risk management, and portfolio optimization.
• Prepare high-level reports, dashboards, and presentations for the executive team and stakeholders, translating complex financial data into actionable insights.
• Mentor and guide junior analysts or finance team members (if applicable), fostering a culture of innovation and data-driven decision-making.
• Bachelor s or Master s degree in Finance, Economics, Financial Engineering, Data Science, or a related field. Professional certifications (CFA, FRM, CPA) are highly desirable.
• Deep understanding of digital assets and cryptocurrencies, with a strong belief in Bitcoin and blockchain technology.
• Extensive experience in financial modeling, valuation, scenario analysis, and strategic planning.
• Strong knowledge of AI, machine learning, and software tools applied in finance.
• Solid grasp of financial engineering, risk management, and investment evaluation.
• Excellent strategic thinking, problem-solving, and communication skills.
• Proven experience advising senior management or executives, influencing decision-making at a corporate level.
• Ability to work independently, manage multiple high-level projects, and thrive in a fast-paced, innovative environment.
• Work at the cutting edge of finance, technology, and digital assets.
• Influence strategic decisions at the executive level.
• Collaborate with a forward-thinking team driving innovation and growth.
• Opportunity to shape the company s financial and investment strategy while leveraging AI and digital asset expertise.

Skills:

Power BI, Tableau, Statistics

Job type:

Full-time

• Identify valuable data sources and automate data collection processes.
• Undertake preprocessing and transformation of structured and unstructured data.
• Analyze large datasets to discover meaningful trends, patterns, and business insights.
• Build and deploy predictive models, machine learning algorithms, and NLP models (classification, clustering, topic modeling, sentiment analysis).
• Combine models through ensemble techniques to improve accuracy.
• Design and maintain end-to-end data pipelines and migrate workflows to cloud platforms (e.g., Databricks, BigQuery, PySpark).
• Develop and maintain dashboards (Power BI, Looker, Tableau) to communicate insights effectively.
• Collaborate with cross-functional teams including product, engineering, and business stakeholders to align data solutions with business needs.
• Propose solutions and strategies to address complex business challenges.
• QualificationsBachelor s or Master's degree in Data Science, Statistics, or related field.
• Proven experience as a Data Scientist or Data Analyst, with demonstrated success in building and deploying data-driven solutions.
• Strong proficiency in Python, SQL, PySpark; experience with big data platforms (Databricks, BigQuery, Redshift, Hadoop).
• Solid understanding of machine learning and deep learning frameworks.
• Experience in data mining, feature engineering, and statistical modeling.
• Strong math and statistical skills; analytical mindset with problem-solving aptitude.
• Excellent communication and presentation skills to engage with both technical and non-technical stakeholders.
• (Preferred) Experience with stream processing, NLP, and scalable big 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..

Skills:

Contracts, Compliance, Mechanical Engineering

Job type:

Full-time

• Being responsible for power plant performance evaluation, technical services support on power plant activities and specific knowledge consultant.
• Being responsible for technical support new business, performance related problem analysis and digitalization.
• Monitor performance parameter to detect anomaly signal and issue notification letter to related person for solving the problem together.
• Optimize operation regime of power plant on normal and special event including tie-line and solar impact.
• Perform performance test activity, calculate performance and guarantee parameter, issue report to conform PPA, LTSA, LTPA contracts. Perform full scale EPC test for new power plant.
• Prepare power plant data and make the performance monthly report of each power plants.
• To create and maintain Plant Information (PI) interface and update PI web, BI dashboard, Performance dashboard for easy access and display by top management.
• Technical service support on demand. The support tasks are the power plant performance related and new business of Gulf example LNG gas, Solar business, wind turbine and more.
• Support additional tasks assigned by senior performance engineer to achieved common goal in Plant Efficiency Department.
• Develop effective relationships with all stakeholders in a governance compliance manner.
• Bachelor s degree or higher in Electrical, Mechanical Engineering or any related field.
• Minimum 3 years experience in performance engineer, electrical maintenance (New graduate who is a high-potential and seeking for job challenging is also welcome).
• Familiar with Aero-derivative Gas Turbine machine is preferable.
• Experience in power plant would be an advantage.
• Good command in English (Minimum 600 TOEIC score).
• Goal-Oriented, Unity, Learning, Flexible.

Experience:

1 year required

Skills:

Finance, Statistics, Python, English

Job type:

Full-time

• Manage/ Clean/ Prepare internal and external data (structured/ semi-structured/ unstructured data) for model development/ deployment/ monitoring, including the production of data quality and integrity report.
• Develop statistical/ expert/ hybrid models to be able to enhance the model when model deterioration is indicated using variety of data modeling techniques such as Logistic Regression/ Random Forest/ Gradient Boosting/ Non-Parametric Regression. Also, in case of using external consultants, be able to work closely with them across all m ...
• Generate prescriptive models to respond to interactive decision to optimize risks and rewards.
• Deploy credit risk models into Databricks platform, collection system and credit decision engine and maintain any model adjustment.
• Assist and work closely with related parties, e.g. business users, credit approval officers and relationship managers to ensure credit risk models are appropriate and efficient for business direction and support for new digital lending risk assessment and platform.
• Ensure all credit risk models are qualified to be used through model life cycle. Regularly perform model monitoring, model assessment and propose proactive action/ recommendation to improve the model.
• Assist and design for business opportunity to develop alternative credit score from partnership data.
• Collaborate with IT and data engineer to ensure data availability and quality from various sources (both on-premise/ cloud) to develop an efficient model.
• Qualifications Bachelor s or higher degree in Finance, Statistics, Mathematics, Economics, MIS, Engineer, Data scientist or any related fields.
• At least 1-2 year experiences credit risk analytics, credit risk modeling/ scoring in retail banking, consumer finance or any financial business.
• Strong knowledge and skill in machine learning, credit scoring, data analytics using R/ Python/ PySpark, MATLAB, SPSS, SAS, SQL or similar required.
• Analytical mindset with excellent critical thinking ability and data analytics skills.
• Excellent computer skills and programming tools.
• Good command in both written and spoken English.
• Good project management skills.
• Good team player with a positive attitude toward hard working and working under pressure.
• Experienced in credit risk modeling, model monitoring/ validation/ deployment/ maintenance preferred.
• Prior experience in Basel/ IFRS9, RAROC, Stress Test, Big Data, Data Mining, Digital leading, Fin-tech/ Start-up is a plus.
• We're committed to bringing passion and customer focus to the business. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us.

Experience:

5 years required

Skills:

Product Owner, Product Development, CFA

Job type:

Full-time

• Customer-Centric Design: Champion a customer-first approach, ensuring our investment products deliver intuitive, seamless, and delightful user experiences.
• Data-Driven Decision Making: Utilize data insights to inform product decisions, prioritize features, and measure success against key performance indicators.
• AI-Powered Innovation: Leverage AI and machine learning to analyze user behavior, identify trends, and uncover opportunities for product enhancement and personalization.
• Product Leadership: Define the product vision, strategy, and roadmap for your portfolio, aligning cross-functional teams and stakeholders towards a common goal.
• End-to-End Ownership: Manage the entire product lifecycle, from ideation and concept development to launch, iteration, and continuous improvement.
• Technical Collaboration: Partner effectively with engineering, design, and data science teams, translating business requirements into technical specifications and ensuring successful implementation.
• 5+ years of experience as a Product Manager, Product Owner, or similar role in fintech, investment management, or a related field.
• Proven track record of delivering successful investment or wealth management products with measurable impact on customer satisfaction and business outcomes.
• Strong analytical skills with the ability to interpret complex data and derive actionable insights.
• Experience with AI/ML techniques and their application in product development.
• Exceptional communication and presentation skills, capable of influencing and inspiring stakeholders at all levels.
• Experience working in agile environments and familiarity with tools like Jira.
• Passion for fintech and a deep understanding of the investment landscape.
• Nice to have.
• MBA or advanced degree in a relevant field.
• Experience in a startup or high-growth environment.
• CFA or other relevant financial certifications.
• Proficiency in SQL and data visualization tools.

Skills:

Research, Python, SQL, English

Job type:

Full-time

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