What Jobs are available for Data Scientist in Thailand?

Responsibilities:

• Maintain and enhance insight and campaign data marts used for statistical modeling.
• Develops and executes statistical analyses to meet business objectives and goals which include but not limited to cross-sell, up-sell, decision-tree, next-best-offer analyses, and customer/agent segmentations.
• Perform the data processing of the pre-modeling/pre-scoring data preparation.
• Provide results of analyses.
• Capture analytical requirements that the current information from source systems do not support in order to provide additional business inputs to the Enterprise Data Warehouse project after enterprise data warehouse go-lives as well as implement the solution.

More for Data Scientist:

• Develop models employing appropriate statistical and machine-learning techniques/methods such as Multivariate Regression, clustering, decision-trees, random forest etc. using R or Python under the supervision of a senior data analyst.

Qualifications:

• Bachelor's degree or higher in Statistics, Decision Science, Mathematics, or related fields is preferred
• Coding skills in SQL, and Python is a must
• At least 1 year of work experience in statistical modeling with knowledge of different kinds of regression, Chi-Square Test, T-Test
• Proficient in English and Thai: Reading, Writing, Conversing
• Strong statistical background and analytical skills
• Working experience with data visualization tools like Power BI, Tableau, Data Studio, and Qlik

Talent Acquisition Team, Human Resources Management Department (Head Office)

Muang Thai Life Assurance Public Company Limited

250 Ratchadaphisek Rd., Huaykwang, Bangkok 10310

Website:  (link removed)

Line Official Account: @mtlcareer

LinkedIn: Muang Thai Life Assurance Public Company Limited

หมายเหตุ: ตำแหน่งงานนี้จำเป็นต้องตรวจสอบประวัติอาชญากรรมของบุคคลก่อนพิจารณารับเข้าทำงาน เพื่อความปลอดภัยและรักษามาตรฐานขององค์กร

Remark: This position requires a criminal record information check prior consideration for employment to ensure safety and maintain standards of the organization.

The Data Scientist is responsible for leveraging data to drive strategic decision-making, applying and fine-tuning pre-trained machine learning models particularly in the domain of Large Language Model (LLM), Natural Language Processing (NLP) - to solve business problems. This role involves working with embedding models, LLMs, and similarity-based algorithms like KNN to extract insights, automate tasks, and enhance user experiences.

Job Description

• Apply NLP techniques to extract entities, sentiments, topics, and relationships from unstructured text
• Fine-tune pre-trained language models (e.g., GPT, Claude, Gemini) for domain-specific tasks such as question answering, classification, and summarization
• Implement, fine-tuning K-Nearest Neighbors (KNN) and other similarity-based algorithms using vector embeddings for tasks like document retrieval
• Optimize embedding pipelines for performance, scalability, and relevance
• Evaluate and monitor model outputs using metrics such as F1-Score, cosine similarity, retrieval precision, and relevance scoring to assess performance and alignment with business objectives.
• Integrate Large Language Models (LLMs) via APIs (e.g., Azure OpenAI) for tasks such as content generation, summarization, and conversational AI
• Collect, clean, and preprocess structured and unstructured data to ensure quality and relevance
• Identify suitable datasets for model fine-tuning and validation
• Use programming languages such as Python and frameworks such as langchain, langgraph, or langflow
• Work with cloud platforms (Microsoft Azure) for model training, deployment, and monitoring
• Collaborate with domain experts and stakeholders to define problem statements and success criteria
• Translate business needs into technical requirements and model adaptation strategies
• Present findings and model outputs in a clear, actionable format to non-technical audiences
• Document model selection rationale, fine-tuning procedures, and evaluation results
• Ensure compliance with data privacy, security, and ethical AI standards
• Contribute to internal knowledge sharing and best practices for applied machine learning.

Qualification

• At Least 3 years of experience as a Data Scientist
• Strong coding skills i.e. Python, SQL, pySpark
• Strong foundation in NLP, machine learning, and vector-based similarity search
• Experience with embedding models and KNN-based retrieval systems
• Hands-on expertise with LLMs and prompt engineering
• Proficiency in Python and relevant ML/NLP libraries
• Effective communication and teamwork to bridge technical and business needs.
• Continuous learning to adapt to evolving Data and AI technologies

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

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.

Job skills required: Statistics, Big Data, SQL

Job skills preferred: Apache, Python

About our group:

Operations Quality & Analytics (OQ&A) helps protect and improve Seagate's Total Customer Experience. We develop, deploy, and sustain end-to-end quality analytics and processes to provide trusted, actionable information enabling earlier detection and prevention of HDD issues. The OQ&A Tool & System Development Team supports function teams in both data analytics and tool/system development.

About the role – you will:

• Collaborate with functional teams to design and create applications/tools to support end-user analytics needs
• Collect, process, and prepare data to support decision-making through our applications/tools.
• Improve and modify existing tools to meet evolving stakeholder requirements, including latent reduction, report automation, and new visualization features
• Design and implement agentic AI components to support dynamic query generation, autonomous analyze data, report creation, and intelligent alerting
• Develop AI agents capable of interacting with users, adapting to feedback, and improving analytics workflows over time

About you:

• Thai and English Proficiency: Strong communication skills in both speaking and writing (TOEIC score of at least 595)
• Full Stack Developer: Experienced in building web applications
• Agentic AI: Experience working with large language models (LLMs)
• Self-Management: Able to lead and work directly with end users
• Adaptability: Willingness to learn, adapt to changing requirements, and stay current with new technologies

Your experience includes:

• Bachelor's or higher degree and/or relevant experience (Computer Science, Computer Engineer Engineering is preferable)
• Prompt Engineering: Designing effective prompts for autonomous agents (AI, LLM, Prompt)
• Programming: Python, Java, R
• Front-End: React,
• Back-End: , Django, Flask,
• Web Development: HTML, CSS, JavaScript, TypeScript
• Databases / Big Data: Oracle, PostgreSQL, Trino
• Statistical Analysis
• Unix Fundamentals

Location:  Teparuk, Thailand

Home to over 4,000 employees, our Teparuk site specializes in producing nano-recording heads—a crucial component for the read/write functionality of hard disk drives. At our Teparuk facility, work is both productive and enjoyable. You and your colleagues can grab breakfast, lunch, dinner, and snacks at our 24/7 on-site canteen and coffee shop. Stay active by taking a few laps around our running track or participating in volleyball, basketball, table tennis, badminton, or football at our on-site gymnasium and fitness center. We also offer a variety of activities, including music, dance, and aerobic classes. Alternatively, unwind in our lush green areas. Consider joining any of our employee resource groups (ERGs), such as Seagate Women in Leadership Network (SWLN), Seagate PRIDE: Thailand chapter, or Seagate's parents and caregivers group. These ERGs provide educational and fun activities. Additionally, enjoy on-site festivals, celebrations, and opportunities to give back to the local community.

Position Overview:

We are looking for a
Data Scientist
with deep expertise in
credit risk model development
to join our data analytics team. This role is responsible for building, validating, and enhancing models that drive credit decisioning and portfolio risk management. The successful candidate will combine advanced modeling skills with strong business understanding to deliver models that are both statistically robust and practically applicable in lending operations.

Key responsibilities:

• Design, develop, and implement
  credit risk models
  (e.g., application scorecards, behavioral models, PD/LGD/EAD models) using advanced statistical and machine learning techniques.
• Conduct
  model validation, back-testing, and stress testing
  to ensure accuracy, stability, and compliance with regulatory requirements.
• Partner with credit risk, collections, and product teams to ensure models are aligned with business strategy and operational needs.
• Document model development methodology, assumptions, and performance monitoring in line with model governance and regulatory standards.
• Monitor and recalibrate models to ensure continued predictive accuracy and relevance over time.
• Provide technical guidance and mentor junior analysts/data scientists on modeling best practices.

Qualifications:

• Bachelor's or Master's degree in
  Statistics, Mathematics, Data Science, Economics, or related field
  .
• 3+ years of hands-on experience
  in credit risk model development within a financial institution, fintech, or consulting environment.
• Strong expertise in
  statistical modeling techniques
  (e.g., logistic regression, survival analysis, decision trees, machine learning methods).
• Proficiency in
  Python
  for model development; strong SQL for data extraction and preparation.
• Solid understanding of the credit lifecycle (underwriting, portfolio management, collections, recoveries).

Company Description
At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.

At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that—our technology helped people put a man on the moon and capture the first-ever picture of a black hole.

We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital, WD, WD_BLACK, and SanDisk Professional brands.

We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future.

Today's exceptional challenges require your unique skills. Together, we can build the future of data storage.

Job Description
ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collaborate with cross-functional teams to develop high-impact data science solutions that improve productivity and operations metrics
• Analyze large-scale data and develop machine learning/AI models to drive business value and improve KPIs
• Design, prototype, and implement machine learning models and algorithms to solve specific Manufacturing problems
• Researching and developing scalable computer vision and machine learning solutions for complex problems
• Create and maintain web applications to support data science initiatives and facilitate data-driven decision making
• Interpret actionable insights from data and metadata sources, communicating findings to stakeholders for product improvement
• Prepare and deliver presentations with data visualizations and business conclusions

Qualifications
REQUIRED:

• Bachelor's degree in Computer Engineering, Software Engineering, Data Science, and Robotics & AI Engineering with relevant industry or academic experience in data analytics
• Proficiency in SQL, Big Data platforms, and cloud services (e.g., AWS)
• Strong background in applied statistics, statistical modeling, and practical experience with ML and AI algorithms.
• Required: Python, Tensorflow framework, Computer Vision
• Familiar with collaborative solutions, model & code versioning (Github), and solution packaging (Docker)
• Strong communication, analytical, and problem-solving skills.

Preferred

• Knowledge of AI/ML model development and lifecycle management.
• Experience with cloud-based solutions and collaborative tools (e.g., Github, Docker).
• Experience in Computer Vision and image processing techniques.
• Experience in web development.
• Familiarity with advanced machine learning techniques (e.g., neural networks, NLP, deep learning).
• Ability to communicate complex technical concepts to non-technical stakeholders.
• Proactive approach to learning and implementing emerging technologies.

Additional Information
Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates:
Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline or email

If you are someone with a genuine drive to improve your life and the lives of those around you, start your journey with us

Your Role:

• Design, build, implement, validate, and maintain risk models including A-score, B-score, C-Score, ECL, income, and more.
• Work with alternative data to build Alternative Credit Scores.
• Keep up with the state-of-the-art technologies in risk modeling.
• Analyze financial data to mitigate risks.
• Work collaboratively with cross-functional teams to identify opportunities to optimize business performance and refine modeling methodologies.

Qualifications:

• Bachelor's degree or higher in Data Science, Computer Science, Mathematics, Statistics, or related fields
• 0-3 year(s) of experience in analytics-related projects
• Proficiency in programming languages such as Python, and SQL.
• Ability to communicate complex technical ideas to both technical and non-technical audiences, and work effectively in cross-functional and collaborative teams
• Fluent in both Thai and English

Nice to have:

• Being user-obsessed
• Being team-oriented
• Having think-outside-the-box mindset
• Possessing problem-solving skills

Location:
Bangkok, Thailand

Rank:
Senior

Job Description
To advises clients on the development and implementation of data analytic, data-driven business, mathematic modelling, systems and controls. The scope of the work covers the full panoply of data analytic, such as data processing, data cleansing, data validating, big data analysis, data visualization and the prevention of money laundering and terrorist financing applying business sense and communication skills to influence how the organization tackles various business challenges.

We are looking for experienced consultants to join our growing and talented team.

Roles and responsibilities

• Processing, cleansing, and validating the integrity of data to be used for analysis
• Data mining or extracting usable data from valuable data sources
• Analyzing large amounts of information to find patterns and business solutions
• Using statistical tools to develop prediction model to address business needs
• Carrying out preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing business analytic
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Able to conduct and lead training/meeting session to explain concept to clients
• Able to coach and lead small team to achieve assigned tasks
• Able to perform multi-project, and possess time management to meet tight deadline
• Able to generate report and presentation to supervisor/clients
• Able to build and maintain good relationship with clients
• Collaborate with Business and IT teams
• Project management, planning, conception, and implementation of a suitable related treasury and risk management system.
• Any other related and ad-hoc assignment as assigned

Qualifications

• Master's in Engineering, Data Science, Mathematics, Statistic, Finance.
• Experience in Data Science, Statistic, Mathematic fields will be a plus
• Ability to multi-task, work under pressure, and meet tight deadline
• Programming experience in PYTHON, R, PowerBI, Tableau and database query languages like SQL is an advantage.
• Strong PowerPoint skills
• Strong communication and presentation capability
• Good command of both written and spoken English