Become a part of Thailand’s no.1 Digital Service Provider, Who strives to provide best services that help people fulfil their dreams.
We are looking for potential candidates who are eager to learn and grow to join our young talent team.
Job Posting Location
BangkokJob Summary
AIS is seeking a Data Scientist to join our dynamic team in Bangkok, Thailand. This role involves working with massive datasets, primarily on cloud infrastructure, to support advanced analytics and machine learning applications. At AIS, you’ll tackle diverse and impactful use cases across multiple business domains, including the mobile phone business, high-speed home broadband, entertainment, and media, gaining exposure to some of the most exciting and complex data challenges in the industry.Job Description
Qualifications
Data Science & Analytics
- 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.
Recruiter
Suphapitch Jarajteerapoj (ศุภาพิชญ์ จรัสธีรพจน์)Skills Required
- Strong foundation in data science, statistics, and advanced analytics (including data visualization)
- Skilled in exploratory data analysis (EDA) to detect patterns and anomalies
- Experience designing and analyzing experiments/A-B tests
- Experience building, deploying, and optimizing machine learning models on large datasets
- Experience or interest in Generative AI (GenAI) projects
- Strong analytical and problem-solving skills to derive actionable insights
- Ability to work independently and collaboratively in a team
- Proficiency with big data technologies: Spark, PySpark, and SQL
- Strong Python programming skills and libraries such as Pandas, Scikit-learn, XGBoost, LightGBM, Matplotlib, Plotly, Seaborn
- Familiarity with interactive notebooks: Jupyter, Google Colab, or Apache Zeppelin
- Experience using PySpark on cloud platforms such as Azure Databricks (or on-premise) is a plus
- Bachelor's or advanced degree in Data Science, Statistics, Computer Science, Computer Engineering, Mathematics, IT, Engineering, or related field
- At least 2-3 years of relevant experience in Data Science, Analytics, or Machine Learning
AIS Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AIS and has not been reviewed or approved by AIS.
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Healthcare Strength — Health and wellness offerings include annual check-ups, vaccinations, and access to an onsite wellness center with medical and physiotherapy services. Insurance coverage extends to medical, dental, life, and accident protection from the first day of employment.
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Retirement Support — A voluntary provident fund is available alongside participation in the national Social Security system and access to an employee credit cooperative for savings and loans. Statutory protections such as compensation coverage for work-related injury or illness are also highlighted.
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Parental & Family Support — Leave and welfare supports cover compassionate leave and assistance for life events such as marriage, miscarriage, bereavement, and inpatient care. Stated provisions indicate attention to family needs that align with, and in places go beyond, standard local practice.
AIS Insights
What We Do
Advanced Info Service Public Company Limited (AIS) is the 5G Digital Service Provider with the most spectra to provide service, totalling 1420MHz . The company has the most subscribers in Thailand, counting over 45.7 million in September 2022. AIS is ready to power Thailand with 5G technology which currently covers 77 provinces through 3 core businesses: mobile phones, high-speed home broadband through AIS Fibre, and Digital Services in 5 aspects of video, the Cloud, digital payments, the Internet of Things (IoT) and services provided jointly with partners. The company is also expanding into AIS eSports and AIS Insurance Service. All of this is to proceed with the vision of becoming a Cognitive Tech-Co, to support a robust digital infrastructure for the country, boost the industrial sector’s competitive potential and upgrade quality of life for all Thais.
