Data / ML Automation Intern
XenditPayments company
Jakarta, IndonesiaIntern
Accel
Y Combinator
Insight Partners
Coatue
Tiger Global Management
Kleiner Perkins
Data & AI
About the role
TL;DR
Build reliable data workflows, reporting tools, and AI-assisted automations for operational teams.
- •Xendit provides payment infrastructure across Southeast Asia and is expanding to Greater China and LATAM.
- •We process payments, power marketplaces, disburse payroll and loans, provide KYC solutions, prevent fraud, and help businesses grow exponentially.
- •We serve our customers by providing a suite of world-class APIs, eCommerce platform integrations, and easy to use applications for individual entrepreneurs, SMEs, and enterprises alike.
- •Our main focus is building the most advanced payment rails for Southeast Asia, with a clear goal in mind
- •to make payments across and within SEA simple, secure and easy for everyone.
- •We serve thousands of businesses ranging from SMEs to multinational enterprises, and process millions of transactions monthly.
- •We’ve been growing rapidly since our inception in 2015, onboarding hundreds of new customers every month, and backed by global top-10 VCs.
- •We’re proud to be featured on among the fastest growing companies by Y-Combinator.
- •Key Responsibilities Build and maintain data pipelines for extracting, transforming, validating, and loading data.
- •Write SQL queries for analysis, reporting, and data-quality checks.
- •Develop automation scripts and internal tools using Python and/or TypeScript.
- •Help develop, test, and monitor ML or LLM-powered automation workflows.
- •Integrate internal systems and third-party APIs into data and automation pipelines.
- •Requirements Currently pursuing or recently completed a degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, or a related field.
- •Proficiency in Python and/or TypeScript.
- •Basic SQL skills, including joins, aggregations, and filtering.
- •Familiarity with data structures, APIs, Git, and software-development fundamentals.
- •Interest in data engineering, machine learning, analytics, or automation.
Required skills
PythonTypeScriptSQLGitREST API
Nice-to-have skills
Google CloudBigQuerydbtAirflowApache KafkaDockerKubernetesTerraformArgoCDLLMs
Domain expertise
fintech
Tech stack
PythonTypeScriptSQLGoogle CloudBigQueryDatabricksdbtAirflowApache KafkaDockerKubernetesAWSTerraformArgoCDGitREST APILLMs
