122 Senior Data Scientist jobs in Thailand

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.

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.

Job Title: Data Scientist  (Credit Approval Process)

Overview :

We are looking for a talented Data Scientist / Optimization Specialist to improve and streamline our credit approval process. This role involves designing advanced optimization models, developing AI-driven case summarization tools, and building predictive models to assess credit risk.

Key Responsibilities:

• Develop models to optimize the management of credit approval tasks using Queuing Theory and work sequencing techniques, ensuring the workload is distributed as efficiently as possible.
• Analyze and improve workflows to reduce waiting times and enhance service capacity.
• Apply machine learning techniques to identify characteristics of customers or cases that have a higher likelihood of poor credit quality, such as predictive modeling and clustering techniques.
• Work closely with the credit approval team, development team, and marketing team to design and deploy these models within the credit approval process.
• Communicate and explain analytical results and recommendations to stakeholders in an easily understandable format.

Qualifications:

• Bachelor's degree or higher in Industrial Engineering, or a related field.
• Experience working within the credit, lending, or financial services industry.
• Proven experience in building and applying optimization models such as queuing theory, scheduling algorithms, and linear/integer programming and strong background in machine learning.
• Strong proficiency in programming languages such as Python, R, or SQL
• Ability to analyze large datasets and build efficient data pipelines.
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Self-motivated, eager to learn new technologies, and capable of working collaboratively in cross-functional teams.

Work Location : KBTG, Chaengwattana Office (Hybrid)

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

Job Title: Data Scientist

Location: Rayong, Thailand

Job Summary:

We are seeking a proactive and versatile Data Scientist to join our Digital Transformation team. This role will focus on developing advanced analytics solutions and managing business requirements to support customer-centric initiatives. The ideal candidate will combine strong technical expertise in data science with the ability to understand and translate business needs into actionable insights and solutions.

Key Responsibilities:

• Design and implement predictive statistical, machine learning, and optimization models to solve business problems.

• Develop, evaluate and deploy new algorithms and methods.

• Analyze complex datasets to uncover trends, patterns, and opportunities for improvement.

• Translate customer needs into technical specifications and data-driven solutions.

• Collaborate with internal and external stakeholders to gather, analyze, and manage business requirements.

• Stay current with emerging technologies and best practices in data science and analytics.

Qualifications:

• Bachelor's or master's degree in data science, Computer Science, Computer Engineering, or a related field.

• 3 years' experience as a Data Scientist delivering end-to-end data projects

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.

• Experience in using statistical computer languages (Python, PySpark, SQL, etc.) to manipulate data and draw insights from large data sets

• A strong passion to identify and solve business problems using data science techniques

• Strong understanding of statistical analysis and data modeling.

• Excellent organizational and leadership skills

Preferred Skills:

• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)

• Knowledge of business process mapping and customer journey analysis.

• Agile project management experience.