149 Senior Scientist jobs in Thailand

Quantitative Analyst – Fundamental at Feed Ingredients Trading Business Group is a core part of our analytics team, and deal with a range of commodities across the globe: corn, soybean, wheat, fishmeal, etc. Our analytics professionals recommend buy and sell signals by forecasting the fluctuation in prices through lens of supply and demand analysis as well as market psychology. We consider a wide range of data from all over the world and help provide insights to support our traders. We are domain experts with a strong ability to understand, assimilate, and articulate complex and ambiguous information.

Responsibilities:

• Build predictive models for commodity futures prices (corn, soybean, wheat) using statistical, machine learning, and deep learning techniques.
• Design and implement quantitative models for risk management, demand and supply estimation, and optimization of business decisions.
• Translate analytical results into clear visualizations and communicate findings effectively with both technical and non-technical stakeholders.
• Rigorously backtest models and trading strategies to ensure accuracy and robustness.
• Develop procurement and hedging strategies by leveraging financial instruments (futures, options)
• Productionize models on cloud platforms (GCP) and build end-to-end pipelines to ensure ongoing performance monitoring and maintenance.
• Research and develop new quantitative models, and conduct a knowledge sharing session to team members.
• Present analytical insights, model outcomes, and strategic recommendations to executives.

Qualifications:

• Bachelor's degree or higher in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related discipline
• Strong foundation in statistical analysis, machine learning concepts, deep learning models, algorithms, and optimization techniques
• Proficient in programming with Python (including libraries such as scikit-learn, TensorFlow, PyTorch), R, and SQL
• Practical experience with statistical and machine learning methods, including but not limited to: probability distributions, generalized linear models (GLM), regression analysis, time-series forecasting, tree-based models, boosting methods, bootstrapping, and neural networks
• Hands-on experience with data visualization tools such as Tableau, Looker Studio, or Power BI
• Familiarity with cloud platforms, particularly Google Cloud Platform (GCP)
• Strong problem-solving and analytical skills, with the ability to communicate technical concepts clearly to diverse audiences
• Excellent interpersonal skills, including the ability to collaborate effectively in a team environment, manage multiple tasks, and prioritize under pressure
• (Nice to have): Knowledge of financial instruments, commodity trading, investment strategies, or hedging techniques
• Self-motivated with a proactive, can-do attitude
• Open to new graduates with strong potential and a willingness to learn

Benefits & Welfare

• Annual Bonus
• Provident Fund
• Medical Allowance
• Accident Insurance
• Annual Health Check-up
• Annual Leave / Vacation Leave

Key Tasks & Responsibilities

• Utilize advance technique to conduct data research to optimize business including but not limited to riskunderwriting, product operation and etc.
• Apply common Machine Learning, Deep Learning or Neural Networks algorithms to build models which will help boost business development.
• Conduct data mining to find hidden values of our plentiful data sources.
• Lead large data projects including data extracting, engineer work, product design and onlineimplementation to interact with real-world customers.

Qualifications

• Bachelor/Master or above degree in Data Analytics, Statistics, Computer Sciences, Engineering, or anyrelated fields.
• Minimum 0-5 years of work experience with Data Scientist.
• Fresh graduates are also welcome.
• Expert with Python to extract, transform, analyze, and visualize data Good understanding of userexperience, product operation.
• Can withstand strong work pressure, strong organizational and coordination skills, wellcommunication, and strong teamwork spirit
• Able to abstract real business issue to mathematical questions and have passion to solve it.
• Fluent communication skills in English and Thai.

"Selection of candidates for this position requires a criminal record check to ensure safety and maintain organizational standards."

Job Purpose

Develop, improve planning model on regular reports as well as develop models to support business strategy in order to achieve optimal portfolio efficiency and profitability while maintaining the acceptable level of risk.

Major Accountabilities

Conduct and improve risk planning toward vintage base analysis.

Refine and optimize standard reports to enhance the efficacy as well as improve the accuracy of risk measurement.

1. Develop models and analysis for opportunity to support the business strategy.

Major Challenge

· Develop models with solid logical foundations to enhance predictability and adjustability.

· Create regular reports which are readily maintainable and simply updateable.

Job Qualification

• Bachelor or Master's degree in Statistics, Engineering, or MIS
• Experience in Excel VBA, Python, Analytics and Modeling
• Good in negotiation skill, presentation skill, interpersonal skill
• Good logical thinking, integrity mindset, external focus and results oriented

Responsibilities:

• 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

Qualification:

• 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: )

ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง

ภาษาไทย: )

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.

• 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.

• Bachelor'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: )

ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง

ภาษาไทย: )

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.

About IRRI

The International Rice Research Institute (IRRI) is dedicated to reducing poverty and hunger through rice science; improving the health and welfare of rice farmers and consumers; and protecting the rice-growing environment for future generations. IRRI is an independent, nonprofit, research and educational institute, founded in 1960 by the Ford and Rockefeller foundations with support from the Philippine government. The institute, headquartered in Los Baños, Philippines, has offices in 17 rice-growing countries in Asia and Africa, and over 1,000 staff.

Working with in-country partners, IRRI develops advanced rice varieties that yield more grain and better withstand pests and disease as well as flooding, drought, and other harmful effects of climate change.

Job Purpose

Climate Change impacts rice production through exacerbated and more frequent climate extremes. At the same time rice fields are a large emitter of greenhouse gases. Technologies that reduce the carbon footprint of rice exist but uptake of such technologies is slow. Working with various local and international partners in different projects, IRRI develops strategies to increase the level of adoption of climate-smart technologies in rice production. This task needs a concerted approach of an inter-disciplinary team of experts.

Under the minimal supervision of the IRRI Representative in Thailand, the Agricultural Economist will be responsible for leading assessments and evaluations of socio-economic factors affecting the uptake and use of agricultural practices and technologies, and provide technical, operational and strategic support for the implementation of IRRI's agricultural and climate change projects in Thailand. S_he will further provide analyses of data and information to build the economic evidence base, assess business cases and gather basic socio-economic data to support scaling of climate-smart technologies in rice-based systems. The Economist will lead specific tasks of a project that aims to facilitate a transformational change in the Thai rice sector by empowering vulnerable smallholder farmers to make improved decisions in the face of climate change and enable access to innovative farming practices and advancing climate-smart rice farming. This encompasses rigorous studies and testing of improved agronomic practices, for example the valorization and use of rice residue, but also evidence-based support for planning of enabling policies and scaling strategies.

The successful applicant should have demonstrated experience and a proven track record of conducting similar research or projects related to low-emission rice farming systems, sustainable agriculture, climate-resilient farming technologies and practices, etc. Apart from research, the position also requires close collaboration with Thai government partners, most important departments and research institutes under the Ministry of Agriculture and Cooperatives (MOAC), International partners, the private sectors, and stakeholders of other local projects. Moreover, this position will require analytical skills to interpret and publish results from adaptive research and support the Thailand office, namely within the context of developing funding proposals.

This position will be based at the IRRI Bangkok Office in Thailand and may only be filled by permanent citizens of Thailand.

Business proficient Thai language skills are required for effective communication with local partners and stakeholders.

Roles and Responsibilities

• Work with IRRI scientists to implement agricultural socio-economic research for development activities in Thailand
• Lead baseline assessment, end-line assessment, adoption assessment, ESG assessment, economic analysis, surveys, interviews and analyzing relevant data
• Analyze data and trends related to agriculture, food security, and resource management to inform policy recommendations and provide insights that guide policy, business decisions, and sustainable practices in rice-based systems
• Support the implementation and delivery of other activities such as pilot testing and assessment of application of innovative technologies and practices in rice-based systems, economic feasibility towards business model development, behavioral economics study, economic impacts, market trends, rice value-chain analysis, policy recommendations, market-based instruments and regulation, etc.
• Support the preparation of project narrative and progress reports as well as other documents as needed
• Support the recruitment and supervision of short-term consultants
• Engage local partners, e.g. MOAC, especially the Thai Rice Department, Office of Agricultural Economics, private sector companies, research institutes, consultants, contractors and smallholder farmers in project implementation
• Initiate and maintain productive engagement with the partners, clients and stakeholders on strategic development and provide crucial evidence on policy issues relevant to the low-emission and climate-resilient farming technologies and practices in rice-based systems
• Collaborate with other IRRI scientists to produce required deliverables
• Maintain active communication with other IRRI teams in the Thailand Office, other country offices and HQ to effectively align activities
• Provide significant contributions to the writing of reports, scientific papers, articles, etc.
• Provide input to the development of research products for private and public decision-makers in view of the sustainable agricultural development of the rice sector
• Contribute to the training of local research and extension service partners and other beneficiaries on relevant skills and knowledge
• Contribute to the organization of regional exchange events, high-level policy dialogues/forums
• Contribute to proposal development and implementation by introducing ideas and methodologies on agribusiness, agri-food value chain, agriculture policies, regulations and strategies
• Stay updated on the latest trends, challenges, and policies in agricultural economics
• Communicate research results and new ideas in a broad array of outlets, including peer-reviewed journals, mass media, policy fora as well as local and international scientific fora

Qualifications

• Master's Degree in Agricultural Economics, Agribusiness, Economics, Applied Economics, Economic Development or in a relevant economic development discipline, and a minimum of 3 years of relevant work experience
• Ph.D. in Agricultural Economics, Agribusiness, Economics, Applied Economics, Economic Development, or in a relevant economic development discipline and min. 1 year of relevant work experience
• Experience working in the field of agricultural economics research, economic analysis project, agriculture and development projects/programs, and/or in international organizations
• Experience in working with government institutions, preferably MOAC

Skills Required

Mandatory

• Has demonstrated research experience and analytical skills, particularly in economic analysis on the impact of agricultural policies
• Strong analytical skills to assess data and draw actionable insights
• Excellent oral and written skills in English, including scientific writing, as well as interpersonal skills
• A proactive and independent way of working

Preferred

• Proficiency in both quantitative and qualitative evaluation methods, including designing surveys, conducting interviews, and analyzing data
• Experience in collaborating with diverse stakeholders, interacting with public, private, and civil society stakeholders.
• Proven evidence of delivering analytical work on critical issues of relevance for sustainable agricultural systems, such as smallholder agriculture, agri/water productivity, agrifood value chains, behavioral economics, risk management, agriculture insurance, etc.
• Knowledge of the agri-food value chain approach/processes

Job Summary

We are looking for an experienced and passionate
Senior – Lead Data Scientist
to join our advanced analytics team. In this role, you will design, build, and deliver data-driven solutions to unlock business value across retail, e-commerce, marketing, and financial domains. You will combine hands-on technical expertise with strategic thinking—whether driving execution as an individual contributor (Senior level) or leading multiple projects and mentoring team members (Lead level).

Key Responsibilities

• Design, develop, and deploy
  machine learning, AI, and advanced analytics models
  to support predictive insights and business decision-making.
• Analyze complex, large-scale datasets to uncover actionable insights and translate findings into practical business solutions.
• Build and maintain
  data pipelines, reporting dashboards, and visualization tools
  (Power BI, Tableau, Looker Studio, etc.).
• Lead or contribute to
  end-to-end projects
  : from scoping and data exploration to deployment and monitoring in production.
• Collaborate with business stakeholders, product owners, engineers, and leadership to align analytics solutions with business objectives.
• Document methodologies, communicate results, and present recommendations to both technical and non-technical audiences, including senior executives.
• (Lead-level) Manage multiple projects, prioritize initiatives, and ensure timely delivery across departments.
• (Lead-level) Provide coaching and mentorship to junior data scientists, building capabilities across the team.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Senior Level
  : 5+ years of experience in data science, advanced analytics, or applied machine learning.
• Lead Level
  : 9+ years of experience with proven leadership in data science project delivery and stakeholder management.
• Proficiency in
  Python, R, SQL, and ML/AI frameworks
  (e.g., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with
  cloud platforms
  (AWS, Azure, GCP) and big data tools (Spark, Databricks, etc.).
• Strong data visualization and storytelling skills (Power BI, Tableau, Looker Studio).
• Excellent problem-solving, communication, and collaboration skills.
• Familiarity with Agile/Scrum methodologies.

Preferred Skills

• Experience leading cross-functional data science initiatives at enterprise scale.
• Knowledge of DevOps practices and CI/CD pipelines for data/ML solutions.
• Understanding of data governance, data quality, and compliance standards.
• Background in retail, consumer business, or financial services analytics is a plus.

Why Join Us

• Opportunity to work on impactful data projects across retail and digital transformation.
• Clear growth track—advance from
  Senior
  to
  Lead responsibilities
  within the same role.
• Collaborative, innovative environment with a focus on real business impact.

We are seeking a bright data scientist to join our Data Science Team. As a part of our data science team, you will work related to various fields such as computer vision, NLP, data analytics, and recommendation systems.

Your tasks will implement the tailor-made solution for the sake of customer satisfaction and business value-added. Our customers are from various industries such as oil and gas, logistics, banking, social network, and so on

Responsibilities:

• Work with complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data exploration, and the presentation of data to develop solutions.
• Identify and measure success of product efforts through business goal setting and make sure it can be aligned with technical metrics as well.
• Cooperate within a team as well as other teams (e.g. Labeller, Data Engineer, Developers, Sales & Marketing) for delivering the best data modeling solution to our customers at a fast pace.

Must-Have Qualifications :

• Excellent understanding of mathematics, statistics, machine learning algorithms, and deep learning and optimizations
• Experience with data querying languages (e.g. SQL and noSQL)
• Proficiency in using python libraries
• Experience in using deep learning frameworks (e.g. Tensorflow, Pytorch)

Preferred Qualifications :

• Eager to learn and share knowledge about the new AI/ML algorithms in several fields (e.g. Anomaly Detection, NLP, Computer Vision, etc.)
• Good command of Linux-based operating systems and git is a plus
• Knowledge in Docker and Kubernetes is a plus
• Good communication skills in Thai and English

• Hybrid work
• Health insurance
• Annual health check
• Laptop and other equipments
• Free snacks & drinks
• Education allowance
• Performance bonus

Education

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Working Experience

• 2+ years of experience in a data science or similar role.
• Proven track record of delivering data-driven solutions to complex problems.

Skills & Knowledge

• Proficiency in programming languages such as Python or R.
• Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch).
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Experience with data from sensors, IoT devices, and health-related data would be considered an advantage.
• Skill in learning and experimenting with new knowledge and information in Machine Learning and AI Advances, Data Science Tools and Libraries, and Statistical and Analytical Techniques.
• Experience and knowledge of Sensor design or Gas sensor technology is a plus.

MAIN PURPOSE OF POSITION

• Develop, implement, and optimize predictive models using advanced machine learning techniques.

ESSENTIAL ROLE AND RESPONSIBILITIES

• Analyze large and complex datasets to uncover trends, patterns, and insights.
• Assess whether the available data is adequate to meet project goals and objectives.
• Identify and recommend additional data collection requirements to improve the accuracy of models and analyses.
• Collaborate with stakeholders especially scientists to understand business needs and translate them into data science solutions.
• Design experiments and perform hypothesis testing to validate findings.
• Conduct research to innovate and improve existing software solutions.
• Write and maintain documentation related to the analysis and solutions.
• Stay updated with industry trends and technologies related to embedded systems.
• Communicate results and recommendations effectively to both technical and non-technical audiences.
• Participate in code reviews and adhere to software development best practices.
• Develop and implement scripts to automate data collection, processing, and analysis for scientific research tasks.
• Stay updated with the latest data science trends, tools, and best practices.
• Maintain information and records comply with a quality management standard including ISO 13485.