Junior Automation Engineer

MMR Research

. Support the development, enhancement and maintenance of analytical applications and automation tools used across MMR .

Posted 10/23/2026full-timeBangkok • ThailandJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates proficiency in developing and maintaining analytical applications using R and Python, with a strong focus on automation and integration within business processes. Capable of translating statistical methodologies into user-friendly applications while ensuring quality and reliability through testing and documentation.

Highest-signal resume keywords

R ProgrammingPython ProgrammingAzurePostgresAutomation Framework Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical MethodologiesAnalytical WorkflowsSoftware DevelopmentCoding StandardsQuality Assurance

Soft Skills

Problem-SolvingAttention to DetailWritten CommunicationVerbal CommunicationCollaboration

Tools & Technologies

Posit ProductsGitMicrosoft CopilotClaudeAI Development Tools

Industry Keywords

Quantitative FieldAutomationArtificial IntelligenceData ScienceMultidisciplinary Teams

Tech Stack

Tools & technologies

AzurePostgresPython

About the role

Key responsibilities & impact

Support the development, enhancement and maintenance of analytical applications and automation tools used across MMR
Build and maintain solutions using R and/or Python, Posit products, Azure, Postgres and Git
Convert statistical methodologies and analytical workflows into scalable business applications
Develop reusable components and automation frameworks
Support integration of analytical tools into wider business processes and platforms
Work with statisticians to understand analytical requirements and identify automation opportunities
Translate statistical workflows into user-friendly applications and processes
Support validation of implemented methods
Assist with user testing and gather business stakeholder feedback
Participate in software testing, validation and quality assurance
Create and execute test plans
Investigate, troubleshoot and resolve issues
Ensure tools are robust, reliable and documented
Collaborate with Data Science and Software Development teams
Contribute to common development standards and approaches
Support handover and deployment of tools into production
Use AI development tools such as Microsoft Copilot and Claude for coding, debugging, documentation and testing
Explore AI-assisted workflows to improve development efficiency
Keep up to date with emerging software development, automation and artificial intelligence technologies

Requirements

What you’ll need

Bachelor’s or Master’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Artificial Intelligence, or a related discipline
1+ years of experience in software development, programming, automation or a related technical role
Basic level of programming experience in R or Python, with a willingness to learn advanced programming techniques
Strong problem-solving skills
Ability to write clear, maintainable, documented and well-structured code
Strong attention to detail and commitment to quality
Good written and verbal communication skills in English
Ability to work collaboratively within multidisciplinary teams
Enthusiasm for learning new technologies and development approaches
Willingness to learn
Statistics degree is not required

Benefits

Comp & perks

Competitive salaries
Generous holiday allowances
Industry-leading training and growth opportunities
Market-leading training opportunities
Employee wellbeing support
Collaborative culture
Strong leadership
Core and additional benefits