53 Deep Learning jobs in Thailand

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.

Cathcart Technology is partnering with a global leader in advanced manufacturing solutions to hire a Data Science Manager. This is a fantastic opportunity to build and lead a new Data Science team that will drive predictive quality, yield optimization, and defect reduction across large-scale production operations.

What you'll do

• Lead the development of advanced statistical models & predictive analytics to enhance manufacturing quality and efficiency.
• Apply DOE, RSM, SPC, and machine learning methods to prevent defects and optimize processes.
• Collaborate with engineering and operations teams to translate complex data science into real-world impact.
• Build, mentor, and manage a high-performing team of 4–5 data scientists and analysts.
• Define and execute the long-term data science strategy for manufacturing excellence.

What they're looking for

• 5+ years' experience in data analytics, statistical modelling, or applied data science.
• Proven leadership and team management experience.
• Advanced knowledge of multivariate analysis, Bayesian methods, hypothesis testing, and experimental design.
• Strong programming skills in Python/R and SQL, plus hands-on experience with ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Proficiency with statistical tools such as JMP or Minitab.
• Excellent communication skills and ability to work with cross-functional teams.
• Good English (spoken and written).

Why apply to this opportunity

This role puts you at the centre of transforming how data science powers world-class manufacturing quality. You'll have the chance to:

• Build and shape a new data science team.
• Work directly with global engineering leaders.
• Deliver cutting-edge, impactful solutions at scale.

Please apply now or contact Dollada (Toon) at for a confidential discussion.

Responsibilities

• Identify valuable data sources and automate data collection processes
• Collect, clean, and validate structured and unstructured data from multiple internal and external systems
• Extract, transform, and engineer features from diverse data sources (ERP, IoT, finance, external datasets)
• Analyze large datasets to uncover trends, patterns, and actionable insights
• Design, build, and deploy predictive models, machine learning algorithms, and AI-driven solutions
• Improve performance through feature engineering, optimization, and ensemble modeling
• Monitor model accuracy, fairness, and drift; retrain and recalibrate as needed
• Present findings using effective data visualization techniques to support decision-making
• Propose data-driven solutions and strategies to address complex business challenges
• Collaborate closely with IT, engineering, and product development teams to integrate solutions into business operations

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related field
• Strong programming skills in Python, R, and SQL
• Knowledge of Machine Learning, Data Mining, and Data Visualization
• Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn)
• Experience in data mining
• Familiarity with cloud platforms (AWS, Azure, GCP)
• Problem-solving skills
• Strong communication and collaboration abilities

Program conditions:

• Less than 2 years of experience, fresh graduates welcome
• Excited to work extra hard to fast-forward your career
• Excellent quantitative and analytical skills
• Focus on making a difference and driving business results

Why We Need You:

We are seeking future data scientists and analysts to find solutions to business problems through data analytics, modelling, and building practical, real-world solutions. This role is ideal for recent graduates or individuals with less than two years of experience who are ambitious and primarily focused on accelerating their career. We are looking for those who understand that significant professional growth is directly proportional to the effort invested. It is a great opportunity to work alongside other ambitious and motivated professionals and revolutionize the financial services industry in Southeast Asia.

Key Responsibilities:

• Build and improve approval and limit management strategies
• Collect and clean data; build analytical datasets for analysis and reporting
• Assess new data sources for potential use
• Build new features for ML models and evaluate their performance
• Try new ML modeling approaches to improve model performance
• Set up AI agent flows to automate or augment processes
• Build financial models to forecast new product profitability
• Design and execute experiments to test policy effects
• Collaborate with engineering teams to implement policies
• Communicate findings and recommendations to stakeholders clearly

Qualifications:

• Ambition to outperform: A strong drive to achieve and advance rapidly through hard work and continuous learning
• Resilience and commitment in a fast-paced environment: Enthusiasm for building a fintech and readiness to exert utmost effort to find solutions, especially when facing urgent, unforeseen challenges
• Proactive and impactful: A desire to dig deeper, think innovatively, and consistently deliver beyond expectations, with a ruthless focus on business impact
• Commitment to quality: Taking pride in the high quality and accuracy of your work
• Proficiency with analytical tools like Excel, Jupyter Notebook, Databricks, or similar.
• Familiarity with SQL and Python (or willingness to learn quickly)
• Bachelor's degree in Business, Economics, Finance, Computer Science, Data Science, or another quantitative field
• Working proficiency in English

About working with us

• This position is based in our Bangkok office
• We prefer to collaborate in person and don't offer remote work
• As an international team, English language proficiency is required

Our application process

Hiring is something we do with care. Because of that, having a transparent and thorough recruitment process is key. If you liked what you've read and are up for the challenge, here is what to expect after submitting your resume:

• The hiring team reviews your application
• You get invited to an initial call with the hiring team
• Complete a take-home challenge
• On-site interviews with relevant team members
• Offer

Why You'll Love It Here

• We're all owners; Everyone at Honest gets an ESOP (Employee Stock Option Plan)
• You'll be working with the smartest people in the industry
• A modern office right in the heart of Bangkok
• Top-of-the-line medical healthcare plan
• Monthly Wellness Allowance
• One of the best-funded start-ups in Southeast Asia with Silicon Valley investors
• We don't believe in titles or hierarchy but value contribution & celebrate achievements as a team

Honest Hiring

At Honest, we're working hard to build the future of finance for Asia. To do so, we prioritize attracting the best talent worldwide to join us – regardless of their background and heritage.

At Honest, we are committed to equal employment opportunities regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, or other class protected by applicable law. We are proud to be an equal opportunity workplace.

If you want to change how people access finance in Asia, join us and help us build a global company where we're all proud to belong.

Imagine scaling AI and analytics products across the value chain for the world's largest jewellery brand. If you're a top talent in advanced analytics and enjoy tackling complex challenges, this Data Scientist role at Pandora Crafting & Supply is for you. Join our dynamic and international team to drive innovation and create data-driven experiences that inform key business decisions across global operations.

We love that you will…

• Partner with our stakeholders to identify valuable insights and in depth understand business cases via data mangling and advanced statistical analysis.
• Tackle business challenges using predictive modelling, forecasting and optimization techniques to provide actionable recommendations.
• Work on end-to-end analytical products, from exploration and prototyping to testing and productionizing.
• Participate in Scrum team and work in an agile manner applying principles from DevOps

We love that you are…

• Bachelor's degree in Computer science, physics, mathematics, operations research or related field or an equally strong analytical background
• More than 4 years of experience in programming using Python, SQL.PySpark is a plus,
• 3+ years industry experience in particular within big data application scenarios,
• Worked with statistics, machine learning, forecasting, MIP numerical techniques, time series analysis, and scientific computing,
• Working knowledge of Git, DevOps, Databricks, Docker, Kubernetes, Airflow,
• Experience with neural networks, deep learning, and reinforcement learning; but not required,
• Strong strategic and economics skills; you have the ability to manage large sets of qualitative and quantitative data and present finding in a simple and actionable manner
• Result-driven and action-oriented individual. Focus on executing, getting things done and delivering on targets,

Welcome to our Crafting & Supply

The magic happens at our crafting facilities, where we combine centuries-old crafting traditions and high-quality materials with modern production techniques. You will be warmly greeted with over 13,000 craftspeople who are excellent at crafting and supplying the world's largest jewellery brand with our craftsmanship.

Join a team that is as diverse and inclusive as our jewellery. We believe and value creative thinking and ensure that there's equitable opportunities for all.

• Foster your growth and craft opportunities through our learning and development programmes.
• At Pandora, no effort or contribution goes unnoticed. We offer a wide range of opportunities and benefits to ensure that our employees feel valued, supported, and cared for.
• Transportation services are also available to drop you at the closet BTS station and other community areas.

About Pandora Crafting & Supply

Pandora started crafting its jewellery in Thailand in 1989, where our founders fell in love with the delicate craftsmanship of the Thai people. To date, there are two crafting facilities in Thailand, Bangkok, and Lamphun, and we employ more than 13,000 skilled craftspeople. By the end of 2023, there are 107 million pieces sold globally, all of which were hand-finished here in Thailand by our skilled craftspeople using high-quality raw materials and sustainable methods.

About Pandora Group

Pandora is the world's largest jewellery brand. Designed in Denmark and crafted in Thailand, Pandora jewellery provides endless opportunities for personalisation, allowing people to express their passions and show who they are. The company's products are made from high-quality materials and sold in more than 100 countries through 6,700 points of sale, including 2,600 concept stores.

Pandora is committed to leadership in sustainability and is sourcing lab-grown stones and recycled silver and gold for all its jewellery. Headquartered in Copenhagen, Denmark, Pandora employs 33,000 people worldwide, is listed on the Nasdaq Copenhagen stock exchange, and generated sales of DKK 28.1 billion (EUR 3.8 billion) in 2023.

ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กรและเพิ่มประสิทธิภาพในเรื่องต่างๆ เช่น: การตรวจสอบและลดปัญหา Frauded, การวางแผนเพื่อ Optimization.

สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI.

สร้างแบบจำลองทางสถิติ / Machine Learning สำหรับวิเคราะห์ เช่น Sales Forecast, Fuel Consumption T_rends, Customer Segmentation หรือ Anomaly Detection.

แปลง Pain Point ทางธุรกิจให้เป็นโจทย์วิเคราะห์ข้อมูล และนำเสนอ Insight ที่ actionable และ measurable.

ร่วมกำหนด KPI และวาง Data Strategy ร่วมกับทีมธุรกิจและน้องๆ ในทีม.

ถ่ายทอดผลการวิเคราะห์ให้ทีมปฏิบัติการเข้าใจง่าย พร้อมแนวทางการแก้ปัญหาที่นำไปใช้ได้จริง.

ปริญญาโทขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง.

มีประสบการณ์อย่างน้อย 5-10 ปี โดยเฉพาะในบริบทธุรกิจจริง เช่น retail, logistics.

เชี่ยวชาญการสร้าง Dashboard ด้วย Power BI, Tableau หรือเครื่องมือใกล้เคียง.

มีทักษะเขียนโปรแกรมและวิเคราะห์ข้อมูลด้วย Python, R, SQL.

มีความรู้เรื่อง Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, PyTorch ได้.

มีประสบการณ์ในการทำ Forecasting, Clustering และ Predictive Analytics.

มีทักษะการคิดเชิงวิเคราะห์สูง สามารถเชื่อมโยงข้อมูลกับบริบทธุรกิจได้ดี.

หากมีประสบการณ์กับ Cloud Platform เช่น AWS, GCP, Azure จะได้รับการพิจารณาเป็นพิเศษ.

Roles and Responsibilities

Data Analysis and Processing

• Collect, analyze, and process data from various sources to support business decision-making.
• Develop statistical models and machine learning algorithms to predict business trends and enhance operational efficiency.
• Ensure data accuracy and improve data quality for practical use.

AI and Machine Learning Model Development

• Design, build, and improve machine learning and deep learning models to address business challenges.
• Monitor and enhance model performance, including managing issues like overfitting, bias, and data drift.
• Apply data mining and natural language processing (NLP) techniques for data analysis.

Collaboration with Teams and Relevant Departments

• Work closely with data science teams, data engineers, data analysts, and business departments to deliver results aligned with organizational goals.
• Present analysis findings and strategic recommendations to executives.
• Translate and communicate technical information in an understandable manner for non-technical teams.

Data Management and Related Tools

• Design and maintain efficient data architectures for practical use.
• Use data analysis tools such as Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, Power BI, or Tableau.
• Work with Big Data systems such as Hadoop, Spark, and relational databases (SQL, NoSQL).

Qualifications

• Bachelor's degree or higher in
  Data Science, Computer Engineering, Computer Science, Mathematics, Statistics, Artificial Intelligence (AI),
  or related fields.
• 2-5 years
  of experience in
  Data Science, Machine Learning,
  or
  AI
  .
• Proficiency in data analysis, machine learning, deep learning, natural language processing (NLP), and computer vision.
• Programming skills in
  Python, R, SQL, Scala
  , and familiarity with libraries like
  TensorFlow, PyTorch, Scikit-learn
  .
• Experience working with
  Big Data, Cloud Platforms (AWS, Google Cloud, Azure)
  , and
  data visualization tools
  like
  Power BI, Tableau
  .
• Strong problem-solving, analytical thinking, and ability to present data insights to executives.
• Ability to collaborate effectively with cross-functional teams.

หน้าที่ความรับผิดชอบ (Key Responsibilities):

·    ออกแบบและดำเนินการวิเคราะห์ข้อมูลเชิงลึก เพื่อสนับสนุนกลยุทธ์องค์กรและเพิ่มประสิทธิภาพในเรื่องต่างๆ เช่น: การตรวจสอบและลดปัญหา Frauded, การวางแผนเพื่อ Optimization

·    สร้าง Dashboard และรายงานแบบ Interactive โดยใช้ Power BI

·    สร้างแบบจำลองทางสถิติ / Machine Learning สำหรับวิเคราะห์ เช่น Sales Forecast, Fuel Consumption T_rends, Customer Segmentation หรือ Anomaly Detection

·    แปลง Pain Point ทางธุรกิจให้เป็นโจทย์วิเคราะห์ข้อมูล และนำเสนอ Insight ที่ actionable และ measurable

·    ร่วมกำหนด KPI และวาง Data Strategy ร่วมกับทีมธุรกิจและน้องๆ ในทีม

·    ถ่ายทอดผลการวิเคราะห์ให้ทีมปฏิบัติการเข้าใจง่าย พร้อมแนวทางการแก้ปัญหาที่นำไปใช้ได้จริง

คุณสมบัติ (Qualifications):

·    ปริญญาโทขึ้นไปในสาขา Data Science, Statistics, Computer Science, Business Analytics หรือสาขาอื่นที่เกี่ยวข้อง

·    มีประสบการณ์อย่างน้อย 5-10 ปี โดยเฉพาะในบริบทธุรกิจจริง เช่น retail, logistics

·    เชี่ยวชาญการสร้าง Dashboard ด้วย Power BI, Tableau หรือเครื่องมือใกล้เคียง

·    มีทักษะเขียนโปรแกรมและวิเคราะห์ข้อมูลด้วย Python, R, SQL

·    มีความรู้เรื่อง Machine Learning และสามารถใช้ Libraries เช่น scikit-learn, XGBoost, PyTorch ได้

·    มีประสบการณ์ในการทำ Forecasting, Clustering และ Predictive Analytics

·    มีทักษะการคิดเชิงวิเคราะห์สูง สามารถเชื่อมโยงข้อมูลกับบริบทธุรกิจได้ดี

·    หากมีประสบการณ์กับ Cloud Platform เช่น AWS, GCP, Azure จะได้รับการพิจารณาเป็นพิเศษ

Responsibility

• 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)