or apply directly on Xendit's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days Xendit's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 4% of Xendit's roles list one
- Ghost-job risk at Xendit
- high 25 stale, 0 reposted of 25 open
- Hiring momentum
- 32 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from Xendit's own greenhouse board since 2026-08-03. Full hiring picture for Xendit.
About this role
As a Data / ML Automation Intern at Xendit, you will assist in building reliable data workflows and AI-assisted automations for operational teams. Your day-to-day tasks will involve developing data pipelines, writing SQL queries, and creating automation scripts using Python and/or TypeScript, while collaborating with both technical and non-technical stakeholders.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Xendit as an employer.
What you need
- 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
- Comfortable working with imperfect data and learning unfamiliar systems
Nice to have
- Experience with GCP and BigQuery
- Familiarity with dbt, Airflow, Databricks, Apache Kafka, or ETL/ELT pipelines
- Exposure to machine learning libraries such as pandas, scikit-learn, PyTorch, or TensorFlow
- Experience using LLM APIs, prompt engineering, agent workflows, or evaluation pipelines
- Familiarity with Docker, Kubernetes, CI/CD, AWS, Terraform, or ArgoCD
Worth weighing
- Internship duration is 6 months
- No salary or compensation details provided
- The role involves working with a variety of technologies, which may offer valuable experience but also requires adaptability to new tools and systems
Summarised from Xendit's posting. Read the full original.
Listed by Xendit on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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