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Skills:

Power BI, Tableau, Python, SQL

Job type:

Full-time

• Collaborate with stakeholders to determine data collection needs and appropriate data resources for specific projects or initiatives.
• Responsible for development, deployment and sustainment of algorithm and data model.
• Evaluate and recommend other database & analytics technologies.
• Participate in special projects and performs other duties as assigned.
• Experience in SQL, Python/R and data visualization (e.g. Tableau/PowerBI).
• Perform advanced analysis (hypothesis testing, predictive model, clustering, etc).
• Excellent communication skills (verbal and written).

Experience:

2 years required

Skills:

Data Analysis

Job type:

Full-time

• Suan Luang, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Software Engineering.
• We are seeking a highly motivated and skilled Data Scientist to join our team in the retail industry. The ideal candidate has at least 2 years of experience in data science, with expertise in data analysis, predictive modeling, and machine learning. Exposure to MLOps, feature engineering, and data engineering workflows will be considered a plus.
• Collect, preprocess, and analyze large datasets to identify trends and actionable insights for retail business challenges.
• Design, train, and deploy machine learning models for tasks such as demand forecasting, customer behavior analysis, and inventory optimization.
• Partner with cross-functional teams, including data engineers and business stakeholders, to translate requirements into data-driven solutions.
• Present insights and findings through visualizations and dashboards to inform decision-making.
• Stay updated on the latest tools and techniques in data science and retail analytics.
• Engineer and optimize features to improve machine learning model performance.
• Automate feature extraction pipelines for scalable workflows.
• Contribute to the deployment, monitoring, and retraining of machine learning models in production environments.
• Assist in designing and maintaining data pipelines and ensuring data quality.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• At least 2 years of experience in data science or a related field.
• Proficiency in Python for data analysis and machine learning.
• Strong SQL skills for managing and querying large datasets.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of data visualization tools (e.g., Tableau, Power BI, matplotlib).
• Strong problem-solving, communication, and teamwork abilities.
• Exposure to MLOps tools (e.g., MLflow, Kubeflow, AWS SageMaker).
• Familiarity with data engineering tools (e.g., Apache Spark, Kafka, Airflow).
• Experience in building real-time analytics or personalization systems.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Non-hierarchical and agile environment.
• Growth opportunity and career path.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/BC2701CDBF/apply).

Experience:

1 year required

Skills:

Statistical Analysis, Project Management, Product Design, Enthusiastic, Recruitment

Job type:

Full-time

• Experience with any purchase /receipt capture methodologies and experience FMCG market will be a fantastic addition.
• Strong stakeholder management and project management skills together with agile, solution-oriented ways of working and a high interest in decision making to bring our product forward are driving you.
• Within the PDE group, the profound coding experience and technical skills combined with a flexible and innovative mindset are essential skills.
• Education & Experience.
• University degree in Statistics, Mathematics, Socio-economics, or a related field.
• Minimum of 1-2 years of experience in FMCG, Retail, Consumer Research, or a related industry.
• Familiarity with the APAC market, ideally located near our Bangkok office.
• Skills & Knowledge.
• Master's degree Graduated.
• Strong understanding of consumer behavior, and interest in any purchase/receipt collection methodologies.
• Candidates with Panel consumer experience are welcome.
• Proficiency in statistical analysis and handling large data sets.
• Working knowledge of Python (required) and R (optional).
• Ability to extract, clean, and analyze data; strong visualization and root cause analysis capabilities.
• Experience with SQL and large-scale databases.
• Proficient English skills for cross-country collaboration and stakeholder engagement.
• Effective project management and time management skills.
• Ability to extract, clean, and analyze data; strong visualization and root cause analysis capabilities.
• Comfortable working in agile environments and using agile tools.
• Skilled at navigating complex challenges and maintaining collaborative, solution-driven communication.
• Your Personal Qualities.
• Reliable and results-driven with a strong "Say-Do" ratio.
• Open communicator with a collaborative and positive approach.
• Adaptable, proactive, and enthusiastic about working in a global, dynamic team.
• If you're passionate about data, consumer insight, and continuous product improvement - and enjoy collaborating across cultures and disciplines - we'd love to hear from you.
• We are a global, diverse team that is passionate about bringing world-class solutions alive and engaging with different end2end business branches to bring the complete consumer journey to our clients. Client satisfaction and highest quality standards in the markets across the world are our core drivers and main focus areas.
• Our Benefits.
• Flexible working environment.
• Volunteer time off.
• LinkedIn Learning.
• Employee-Assistance-Program (EAP).
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/.
• About NIQ.
• NIQ is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights - delivered with advanced analytics through state-of-the-art platforms - NIQ delivers the Full View . NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.
• For more information, visit NIQ.com.
• Want to keep up with our latest updates?.
• Follow us on: LinkedIn | Instagram | Twitter | Facebook.
• Our commitment to Diversity, Equity, and Inclusion.
• At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion.

Skills:

Statistical Analysis

Job type:

Full-time

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement.

Skills:

Python, SQL

Job type:

Full-time

• Build end-to-end machine learning or statistical models to use in our digital products from problem formulation, data collection, model development, and implementation.
• Conduct research and analysis on various data sources to find predictive signals to help improve model performance.
• Collaborate with other business units to help formulate business problems into data analytic, experimentation, or modeling problems.
• looking for.
• Strong background in probability, statistics, machine learning, or other quantitative areas of study.
• Good understanding of end-to-end model development process from problem formulation to implementation.
• Ability to communicate effectively with business units to help formulate problems into data analytics, experiments, or modeling problems.
• Background in finance is optional, but one should have a strong interest in our business and fintech industry.
• Programming skills in Python and SQL.

Skills:

Data Analysis

Job type:

Full-time

• Data Analysis: Conduct in-depth analysis of retail and wholesale business data to address specific business questions and challenges.
• Insight Generation: Interpret results from dashboards and data analyses to develop actionable insights and strategic recommendations.
• Requirement Gathering: Identify business problems, gather requirements, and propose potential solutions, including leveraging AI to enhance business operations.
• ML Model creation: Create data analytic model including both deterministic and machine learning model,.
• AI vendors coordination: Collaborate with external AI suppliers to align project objectives with technological capabilities.
• Cross-Departmental Collaboration: Work with various departments to develop and implement data-driven strategies that optimize business processes and decision-making.
• Communication: Act as a liaison between stakeholders and AI vendors, ensuring clear communication and understanding of project requirements.
• Data analytics and AI Strategy Design: Design and recommend how Business Intelligence (BI) and AI technologies can address business problems and provide further insights.
• Decision making support: Present key findings from own analysis and strategic recommendations to business counterparts and senior management, focusing on project approaches and strategic planning.

Skills:

Electrical Engineering, Software Architecture, Architecture, TensorFlow, Python

Job type:

Full-time

• Research, develop and apply AI and deep learning techniques to improve our products and business operations.
• Collaborate with cross-functional teams to identify business problems that can benefit from AI solutions.
• Work with AI/MLOps team to implement AI solutions into production environments following high-quality software engineering standards.
• Research and develop Generative AI solutions using state-of-the-art techniques (e.g. Retrieval-Augmented Generation, model fine-tuning, and agentic frameworks) to improve user experiences and increase efficiency in business operations.
• Stay current with the latest advancements in AI/ML/GenAI research and technologies.
• looking for.
• Have passion for building great and impactful technology.
• Bachelor's or master's degree in Computer Engineering, Electrical Engineering, Computer Science or related fields.
• Strong background in Computer Science and Software Engineering including algorithms, data structures, software architecture, OOP, system design, etc.
• Proficiency with deep learning model development using frameworks like PyTorch and TensorFlow.
• Proficiency with common data science Python packages e.g. scikit-learn, NumPy, Pandas).
• Good understanding of machine learning fundamentals and model development lifecycle.
• Experience with developing Generative AI applications is a plus.
• Experience with cloud-based ML platforms (AWS SageMaker, Azure ML, Google Vertex AI) is a plus.
• Our Data & AI Team.
• We are a group of adventure-loving folks with a diverse mix of skillsets. Our crew includes a marathoner, rock climbers, divers, entrepreneurs, and professional travelers, who usually work hard and play even harder.
• What brings us together? A shared passion for AI and ML, software engineering, data engineering, MarTech, and all the cool stuff like GenAI. We really strive to use them to bring real value to Abacus's business. Just to name a few, the complex, real-time loan decision engine runs on the systems built by our teams, and so does the data platform that enables data-driven decisions across the company. And the team vibe and culture? Think Silicon Valley - at least that's where we aspire to be.
• By the way, can you guess which sentences are generated by AI?.

Experience:

3 years required

Skills:

Statistical Analysis, Problem Solving, Automation, TensorFlow, Leadership Skill

Job type:

Full-time

• Designing and developing data integration (including batch/real-time, ETL/ELT) processes with a variety of structured and unstructured data with tools such as Informatica, Talend, Pentaho PDI or AWS Glue.
• Applying analytical models to predict business outcomes with tools such as Dataiku, DataRobot or TensorFlow, Keras or pyTorch.
• Good understanding of AI/ML processes and algorithms like k-means clustering, propensity models, text analytics, predictive models.
• Actively seek out developmental opportunities for growth, act as strong brand ambassadors for the firm as well as share their knowledge and experience with others.
• Respect the needs of their colleagues and build up cooperative relationships.
• Understand the goals of our internal and external stakeholder to set personal priorities as well as align their teams' work to achieve the objectives.
• Constantly challenge themselves, collaborate with others to deliver on tasks and take accountability for the results.
• Build productive relationships and communicate effectively in order to positively influence teams and other stakeholders.
• Offer insights based on a solid understanding of what makes Deloitte successful.
• Project integrity and confidence while motivating others through team collaboration as well as recognising individual strengths, differences, and contributions.
• Understand disruptive trends and promote potential opportunities for improvement.
• A good honors Degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics or related disciplines.
• Extensive experience in Big 4 or MNC Consulting firm or industry related role.
• Machine learning and big data activities and demonstrate value through use cases. Applied experience in 2 or more types of machine learning problem classes -- forecasting, prediction, segmentation, optimization and cognitive use cases.
• Proficient at data quality assessment, data exploration, profiling, design and development of analytic data sets, statistical analysis and machine learning modelling, application of new types of algorithms for predictive modelling, segmentation, forecasting, and optimization.
• Work on development of new data science solutions iteratively by building quick POCs and converting ideas into real products.
• Interact with both business and technical stakeholders to deliver high quality products and services that meet business requirements and expectations while applying the latest available tools and technology.
• Have a passion for delivering quality code and ensuring the team's deliverables meet or exceed client expectations.
• Good foundation in data science, with competencies in data structures, algorithms and coding.
• 3-5 years of experience in data science building supervised, unsupervised and/or optimization models leading to business impact. Comfortable working cloud environments and big data / scalable computing.
• Experience with AWS or GCP machine learning platform or python or R.
• Experience with tools such as Dataiku, DataRobot.
• In addition to strong client service orientation, we are also seeking talented leaders who have the capability to deliver quality solutions with superior analytical and problem solving skills. Besides excellent interpersonal and communication skills, candidates should have proven demonstration of sound business acumen, teamwork and leadership qualities. An appreciation of the consulting lifestyle and ability to travel is a pre-requisite.
• Due to volume of applications, we regret that only shortlisted candidates will be notified.
• Please note that Deloitte will never reach out to you directly via messaging platforms to offer you employment opportunities or request for money or your personal information. Kindly apply for roles that you are interested in via this official Deloitte website.

Experience:

2 years required

Skills:

English, Thai

Job type:

Full-time

• Collaborate closely with engineering teams to design and deploy end-to-end LLM applications that drive measurable business impact.
• Implement scalable LLMOps workflows to streamline model training, deployment, monitoring, and ongoing optimization in production.
• Evaluate, test, and benchmark frontier and open-source LLMs to identify high-value applications across our product ecosystem.
• Adapt and fine-tune pre-trained models using domain-specific datasets and modern optimization techniques.
• Establish robust evaluation frameworks, testing harnesses, and monitoring infrastructure to ensure AI models optimize for accuracy, latency, safety, and cost efficiency.
• Stay at the forefront of AI research, continuously evaluating emerging tools, architectures, and methodologies to enhance engineering practices.
• Bachelor's, Master's, or Ph.D. in Computer Science, Data Analytics, Statistics, or a related quantitative field.
• 2-5 years of experience in data science, machine learning, or applied research.
• Solid foundation in statistics, probability, machine learning algorithms, and large language models (LLMs).
• Hands-on experience with some modern AI tooling and frameworks (e.g., vLLM, LangChain, or similar execution engines).
• Strong problem-solving skills, strong sense of ownership, and a passion for translating experimental research into production-grade systems.
• Excellent communication skills with both technical and non-technical stakeholders, with a proven ability to build and foster collaborative relationships.
• Ability to thrive in a dynamic, fast-paced environment and apply disciplined risk control to deliver high standards under constraints.
• Fluency in both English and Thai.
• It'd be Great if you have: (if any).
• Demonstrated experience deploying and optimizing LLM serving architectures for high-concurrency, low-latency production applications.
• Extensive hands-on experience training, post-training, fine-tuning (e.g., LoRA, QLoRA), and aligning (e.g., RLHF, DPO) large language or multimodal models.
• Familiarity with modern Retrieval-Augmented Generation (RAG) frameworks, vector databases (e.g., Pinecone, Milvus, Qdrant), and advanced retrieval techniques.
• Experience building agentic workflows, function calling pipelines, or multi-agent orchestration systems.
• Proven track record of publishing research papers at top-tier AI/ML conferences or journals.

Skills:

Data Analysis, Python

Job type:

Full-time

• Phra Nakhon Si Ayutthaya, Thailand (Hybrid).
• Full-time.
• Workplace: hybrid.
• Department: Software Engineering.
• Proficiency in Python and PySpark for data analysis, machine learning, and demand forecasting (regression + time series models).
• Experience with forecasting models such as.
• LightGBM/ XGBoost.
• and classical time series methods (e.g.,.
• ETS/ARIMA.
• Strong understanding of the machine learning workflow (data cleansing, feature engineering, model evaluation, model explainability).
• Familiarity with forecasting evaluation metrics (e.g.
• MAPE, MAE.
• ) and ability to validate model performance.
• Strong.
• SQL.
• skills for managing and querying large datasets.
• Knowledge of data visualization tools (e.g.,.
• Power BI.
• Experience with cloud-based technologies such as Databricks, Azure, or AWS.
• Strong communication skills - able to explain insights and models to both business and technical teams.
• Ownership and accountability - able to deliver end-to-end solutions, not just analysis.
• Collaboration - able to work effectively with Data Engineering, Tech, Product, and Supply Chain teams.
• Exposure to MLOps tools (e.g., MLflow, job scheduling).
• Experience building production pipelines for forecast outputs (daily/weekly runs) and supporting downstream systems.
• Experience in real-time analytics or scheduled processing systems.
• Optimization mindset - able to balance accuracy, business impact, and time constraints.
• Clear focus.
• Diverse Workplace (Our members are from around the world!).
• Non-hierarchical and agile environment.
• Growth opportunity and career path.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/ABE89A62D0/apply).

Skills:

Data Analysis, Oracle, Python, ERP

Job type:

Full-time

• Bangkok, Thailand.
• Full-time.
• Workplace: on_site.
• Department: Technology.
• A Senior Data Scientist I in the Finance Transformation team at CP Axtra is a hands-on expert who designs, develops, and deploys statistical models and machine learning algorithms to solve finance and commercial challenges across Makro and Lotus's, such as forecasting, margin and cost analytics, working-capital optimization, and fraud/anomaly detection. The role covers in-depth analysis, data preparation, building robust pipelines, and rigorously evaluating and optimizing model performance, while collaborating with Finance, engineering, and product teams and mentoring junior data scientists.
• Design, develop, and implement statistical models and ML algorithms to solve finance and commercial problems (e.g., sales/cost forecasting, margin optimization, anomaly detection).
• Conduct in-depth exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large financial and transactional datasets.
• Clean, transform, and validate data from Oracle Fusion and other sources to ensure data quality and integrity for modeling.
• Build and maintain robust data pipelines and features for model training and inference.
• Evaluate model performance using appropriate metrics, perform rigorous A/B testing, and continuously optimize models for production.
• Collaborate with engineers, product owners, and Finance stakeholders to define requirements and integrate solutions.
• Communicate complex analytical findings and model results clearly to both technical and non-technical finance audiences.
• Research and apply cutting-edge data science techniques to improve existing methodologies and capabilities.
• Develop and present data visualizations, dashboards, and reports to illustrate insights and track key financial metrics.
• Mentor junior data scientists on best practices for analysis, modeling, and productionization.
• 1\. Expertise in developing and implementing complex machine learning and statistical models, ideally on financial or transactional data.
• 2\. Proficient in preparing, cleaning, and transforming large datasets.
• 3\. Strong coding skills in Python or R, with relevant libraries (e.g., scikit-learn, pandas, NumPy).
• 4\. Ability to create clear, insightful data visualizations and dashboards for finance stakeholders.
• 5\. Experience in designing, executing, and analyzing controlled experiments (A/B testing).
• 6\. Excellent ability to articulate complex findings to technical and non-technical audiences and work cross-functionally.
• 7\. Proficient in querying and managing data in relational and non-relational databases, including ERP sources such as Oracle Fusion.
• International workplace.
• Opportunities for growth in e-commerce, wholesales, and retail industry.
• Competitive benefits.
• Fast-paced, dynamic, and supportive environment.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/AA0E77E6C2/apply).

Experience:

5 years required

Skills:

Automation, Python, SQL, TensorFlow, Big Data

Job type:

Full-time

• Nawamin, Thailand (Hybrid).
• Workplace: hybrid.
• Position Summary.
• The Senior Data Scientist plays a key role in designing and delivering AI, machine learning, and automation solutions that drive business impact across retail and digital transformation initiatives. This role works closely with business stakeholders, product owners, and cross functional technology teams to develop scalable, production-ready AI solutions and support data-driven decision making.
• Design, develop, and deploy end-to-end AI/ML and automation solutions.
• Build scalable data pipelines, feature engineering workflows, and predictive models.
• Apply machine learning, statistical analysis, forecasting, and experimentation techniques to solve business problems.
• Collaborate with business and technology teams to translate business needs into AI/ML solutions.
• Implement and support MLOps practices including model deployment, monitoring, retraining, and CI/CD workflows.
• Develop GenAI/LLM-based applications and automation tools to improve operational efficiency.
• Participate in Agile/Scrum ceremonies and contribute to sprint planning and delivery.
• Mentor junior data scientists through code reviews, technical guidance, and best practices.
• Ensure proper documentation, maintainability, and scalability of AI solutions.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in Data Science, Machine Learning, or Applied AI.
• Strong programming skills in Python and SQL.
• Hands-on experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with big data processing and cloud platforms such as PySpark and Azure Databricks.
• Strong understanding of statistics, forecasting, experimentation, and model evaluation.
• Experience with MLOps, model deployment, and monitoring processes.
• Ability to communicate technical concepts effectively to business stakeholders.
• Experience working in Agile/Scrum environments.
• Additional.
• Preferred.
• Experience in retail, e-commerce, FMCG, or digital business environments.
• Familiarity with Azure ML, MLflow, Airflow, Docker, or Kubernetes.
• Experience with GenAI, LLM applications, prompt engineering, or RAG pipelines.
• Understanding of data governance and PDPA considerations.
• Experience mentoring or leading junior team members.
• Certifications in AI, Cloud, or Data Science are a plus.
• Why Join Us?.
• Work on high-impact AI and machine learning initiatives within a leading retail organization.
• Build and deploy real-world AI solutions that drive measurable business outcomes.
• Collaborate with cross-functional teams in a modern, cloud-native technology environment.
• Access cutting-edge tools and platforms in AI, MLOps, and GenAI.
• Be part of a fast-growing digital transformation team with strong career growth opportunities.
• Flexible hybrid working environment based in Bangkok.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/7721C44AB7/apply).

Experience:

5 years required

Skills:

TensorFlow, Selenium, Python, Scrum, Cloud Computing

Job type:

Full-time

• Bangkok, Thailand (Hybrid).
• Workplace: hybrid.
• The Data Scientist is responsible for developing predictive models, optimisation and analytical solutions across a broad range of business problems including demand forecasting, price and elasticity modelling, customer and store segmentation, and AI/LLM-based solutions that enable data-driven decisions across commercial and operational functions. This role bridges business needs and advanced analytics, combining stro ...
• Modelling & Optimisation.
• Design, develop, and deploy predictive and machine-learning models across areas such as demand forecasting, price and elasticity modelling, price/assortment optimisation, and recommendation.
• Build customer and store segmentation, clustering, and entity-matching / item-mapping solutions to support commercial and marketing decisions.
• Frame business problems as data science problems, selecting appropriate methods and validation approaches to deliver reliable, production-ready outcomes.
• Continuously evaluate and improve model performance, accuracy, and business impact over time.
• AI & Advanced Analytics.
• Apply NLP and LLM/Generative AI techniques to use cases such as text classification, sentiment/voice-of-customer analysis, data mapping, and RAG or text-to-SQL applications.
• Prototype and evaluate emerging AI approaches, turning promising experiments into practical business solution.
• Data, Insights & Data Sourcing.
• Source, acquire, and integrate data from internal systems, third-party providers, and external sources (e.g. web scraping, APIs, public datasets).
• Explore, clean, and transform large datasets to prepare high-quality features; ensure data quality, consistency, and integrity.
• Identify trends, patterns, and opportunities in data - including external factors - and proactively surface insights that drive business value.
• Delivery & Productionisation.
• Build and maintain data pipelines and scheduled jobs (e.g. on Databricks) to run models and analytics reliably in production.
• Deliver results through dashboards, reports, and applications, and maintain clear documentation of models, data, and methodologies.
• Business Partnering.
• Engage with business stakeholders to understand objectives, gather requirements, and translate them into data science solutions.
• Communicate complex results clearly to technical and non-technical audiences, and manage timelines and deliverables to agreed success criteria.
• Bachelor's degree (minimum); Master's degree preferred in Statistics, Mathematics, Computer Science, Data Science, Engineering, or a related quantitative field.
• Minimum 3-5 years of hands-on data science experience in a commercial or enterprise environment.
• Experience in retail, FMCG, or e-commerce is a strong advantage.
• Strong programming skills in Python and SQL with solid command of data science libraries (e.g. pandas, scikit-learn, TensorFlow/PyTorch).
• Sound understanding of machine-learning and statistical techniques, with experience across several of: forecasting, elasticity/optimisation, segmentation/clustering, and entity matching.
• Experience with NLP and LLM/Generative AI (e.g. embeddings, RAG, text-to-SQL) is a strong advantage.
• Ability to source and integrate external data via web scraping and APIs (e.g. requests, Playwright/Selenium).
• Experience building and scheduling data pipelines, ideally on Databricks/Spark, or a similar big-data or cloud platform (Azure, AWS, or GCP).
• Strong data storytelling and visualisation skills; able to communicate insights clearly to technical and non-technical audiences.
• Proven track record of delivering data science projects end-to-end, on time, and managing stakeholder expectations.
• Familiarity with version control (Git) and Agile/Scrum delivery is a plus.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/C1BD20FD69/apply).

Experience:

3 years required

Skills:

Leadership Skill, Data Analysis, Statistical Analysis, Python, SQL

Job type:

Full-time

• Bangkok, Thailand.
• Full-time.
• Salary: unknown currency 100,000-150,000.
• Workplace: on_site.
• Department: Technology.
• 1\. Define and implement a comprehensive data strategy for the Strategic Office Group, focusing on data collection, analysis, interpretation, and visualization to support business objectives.
• 2\. Build, mentor, and manage a team of data scientists and data analysts. Foster a collaborative environment that promotes skill development, knowledge sharing, and continuous improvement.
• 3\. Lead the design, development, and implementation of advanced analytical models, dashboards, and reports that provide actionable insights to stakeholders.
• 4\. Oversee complex data exploration, statistical analysis, predictive modeling, and segmentation to identify trends, patterns, and opportunities.
• 5\. Collaborate closely with various business units to understand their data needs, translate business questions into analytical problems, and deliver data-driven solutions.
• 6\. Work with data governance teams to ensure data quality, integrity, and compliance with internal policies and external regulations.
• 7\. Evaluate and recommend appropriate data analysis tools, platforms, and technologies to enhance the team's capabilities and efficiency.
• 8\. Manage the lifecycle of data science and analytics projects, ensuring timely delivery, adherence to scope, and high-quality outputs.
• 1\. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• 2\. Minimum of 5-8 years of progressive experience in data science, data analysis, or business intelligence, with at least 3-5 years in a leadership or management role.
• 3\. Proven expertise in statistical analysis, predictive modeling, and data visualization techniques.
• 4\. Strong proficiency in programming languages commonly used for data analysis (e.g., Python, R, SQL).
• 5\. Extensive experience with data analysis and visualization tools (e.g., Tableau, Power BI, Looker, Excel).
• 6\. Experience with big data technologies (e.g., Spark, Hadoop) and data warehousing solutions.
• 7\. Solid understanding of database management systems and data manipulation.
• 8\. Excellent analytical, problem-solving, and critical thinking skills.
• 9\. Exceptional communication, presentation, and interpersonal skills, with the ability to translate complex data into clear business insights.
• Apply.
• Apply at CP Axtra](https://apply.workable.com/joinmakropro/j/9D3D414F78/apply).

Skills:

Data Analysis, Architecture, Python, Cloud Computing, SQL

Job type:

Full-time

• Support workshops to understand business goals, constraints, and data landscapes; translate them into prioritized AI use cases and a phased delivery plan (PoC.
• MVP.
• Production).
• Support the design of solution architecture, effort estimation, and clearly articulate technical and business value during proposal development.
• Collaborate with cross-functional teams to understand business challenges and translate them into actionable analytical solutions.
• Implement, and deploy machine learning models across various domains, covering both Traditional and Generative AI use cases.
• Rapidly prototype and validate ML/GenAI solutions (e.g., classification, forecasting, NLP, RAG, summarization, document intelligence, agentic workflow).
• Develop robust, maintainable, and production-ready machine learning workflows, with a focus on MLOps practices.
• Bachelor's degree in STEM fields (e.g., Engineering, Computer Science, Statistics, Mathematics, Economics, or related disciplines).
• Hands-on experience delivering ML/AI solutions; consulting/client-facing experience preferred.
• Proven hands-on experience with Python and SQL for data analysis and model development; familiarity with cloud platforms for scalable analytics solutions.
• Practical experience across the AI/ML lifecycle: data preparation, modeling, evaluation, deployment, and monitoring.
• Ability to translate complex analytical insights into clear, actionable business recommendations for diverse stakeholders.
• Good to have certifications.
• AI / Data Science Specific e.g., Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate.
• Cloud & Data Platforms e.g., Google Professional Data Engineer, Microsoft Certified: Azure Data Scientist Associate.

Experience:

1 year required

Skills:

Electrical Engineering, Analytical Thinking, TensorFlow, Python, English

Job type:

Full-time

• Research and evaluate emerging technologies in Computer Vision, Image Processing, Machine Learning, and Deep Learning.
• Collaborate with SCGP business units and plant teams to identify and define computer vision use cases.
• Develop prototypes and conduct Proof-of-Concept (PoC) studies to assess technical feasibility and potential business value.
• Develop and validate computer vision models for applications such as defect detection, object detection, image classification, segmentation, and anomaly detection.
• Prepare and manage image datasets, including image acquisition, labeling, augmentation, and data quality validation.
• Evaluate model performance using appropriate metrics such as precision, recall, F1-score, IoU, and mAP.
• Support deployment and integration of computer vision models into manufacturing workflows, including edge inference and model monitoring.
• Analyze complex packaging and manufacturing defects, including cases with limited or challenging datasets.
• Document research findings, technical results, and recommendations for further development and implementation.
• Work closely with production, quality, IT, and business teams to translate technical research into practical solutions with measurable business potential.
• Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Science, or other related fields. (Bachelor GPA > 2.70, Master GPA > 3.30).
• Over 1-3 years of relevant experience in Data Science, Computer Vision, Image Processing, Machine Learning, or related fields.
• Strong knowledge of Image Processing and Computer Vision, including image enhancement, segmentation, feature extraction, object detection, image classification, and anomaly detection.
• Knowledge of Machine Learning and Deep Learning, including CNNs, Vision Transformers, transfer learning, supervised/unsupervised learning, and model evaluation.
• Proficiency in Python and relevant frameworks/libraries such as OpenCV, NumPy, scikit-learn, PyTorch, or TensorFlow; knowledge of deployment, edge inference, MLOps, and version control is an advantage.
• Strong analytical thinking, problem-solving, communication, and cross-functional collaboration skills.
• Good command of English in verbal and written communication (TOEIC > 550).
• Willing to work onsite at SCG Packaging Public Company Limited (Bang Sue, Bangkok).

Skills:

Data Analysis, Recruitment, TensorFlow, Assurance, Python

Job type:

Internship

• Explore, clean, and analyze data to understand business problems and identify useful patterns.
• Build, train, and evaluate machine learning or deep learning models for real-world use cases.
• Experiment with approaches such as LLMs and agentic AI, time series forecasting, or computer vision, depending on the project.
• Compare model results, document your experiments, and share findings and recommendations with the team.
• Collaborate with data scientists and other team members to develop practical AI solutions.
• Currently studying a Bachelor's degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
• A good foundation in Python, data analysis, and machine learning concepts.
• Hands-on experience from coursework, personal projects, research, or competitions in LLMs and agentic AI, time series forecasting, computer vision, or training machine learning and deep learning models.
• Familiar with machine learning libraries such as scikit-learn, PyTorch, or TensorFlow.
• Good communication and interpersonal skills and can work effectively with team members.
• This is your chance to build your career in a growing data-driven and AI industry.
• Sertis may collect, use, or disclose your personal data or personal data of other persons provided by you in order to carry out your recruitment process. For more information, please refer to our Recruitment Privacy Notice.

Skills:

Recruitment, Leadership Skill, YouTube, Python, SQL

Job type:

Full-time

• Identify and solve high-leverage problems across Agoda.
• Translate ambiguous problems into measurable objectives and technical solutions.
• Lead the design and deployment of ML, AI, and analytical solutions.
• Own solutions from problem definition and experimentation through production deployment, measurement, and iteration.
• Partner with cross-functional leaders to shape strategy and roadmaps.
• Provide technical leadership and mentorship across the data-science community.
• What You'll Need.
• Extensive hands-on experience in data science, machine learning, and statistics.
• Experience delivering production models with measurable customer or business impact.
• Strong Python and SQL skills; experience with large-scale data and ML platforms.
• Ability to influence senior stakeholders and communicate clearly across technical and non-technical audiences.
• Nice to Have.
• Experience in online travel, e-commerce, search, ranking, recommendations, pricing, or personalization.
• Experience with production LLM or generative-AI systems.
• Advanced degree in Computer Science, Statistics, Operations Research, Mathematics, or a related field.
• Please review our Hiring Process Guidelines before your interview - click here to learn how interviewing at Agoda works.
• Discover more about working at Agoda.
• Agoda Careers https://careersatagoda.com.
• Facebook https://www.facebook.com/agodacareers/.
• LinkedIn https://www.linkedin.com/company/agoda.
• YouTube https://www.youtube.com/agodalife.
• Equal Opportunity Employer.
• At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
• We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
• Disclaimer.
• We do not accept any terms or conditions, nor do we recognize any agency's representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Skills:

Project Management, Data Analysis, Power BI, Python, English

Job type:

Full-time

• Create project implementation plans and follow up with related departments.
• Perform data analysis using statistical tools, scientific methods, and machine learning.
• Develop data applications and ensure validation, testing, monitoring, and documentation.
• Coordinate with internal and external stakeholders to support digital transformation projects.
• Degree in Computer Science, Data Science, or related fields.
• Knowledge of Manufacturing processes is preferred.
• Experience in Data Science or data analytics.
• Skills in Python, SQL, Git, advanced statistics, data transformation, and Power BI.
• Good English communication skills.
• Required Skills.
• Python.
• SQL.
• Git.
• Advanced statistics.
• Data access and data transformation.
• Power BI.
• Machine learning and data analytics knowledge.
• Competencies.
• Strong result orientation and future-oriented mindset.
• Good cooperation and communication skills.
• Ability to coordinate with cross-functional teams and external partners.
• Strong depth of technical and methodological knowledge.
• Interest in digital transformation and i4.0 initiatives.

Skills:

Data Analysis, Python

Job type:

Full-time

• Build and maintain datasets optimized for analytics and modeling.
• Collaborate closely with Data Engineers for data preparation and with Engineer teams for model deployment and monitoring.
• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
• Experience developing machine learning or statistical models for business problems.
• Strong programming skills in Python or similar languages for data analysis and modeling.
• Experience with data analysis, feature engineering, and model evaluation.
• Familiarity with ML frameworks and data visualization tools.
• Understanding of model deployment and monitoring concepts.