AI Science Team

Data Analyst Intern

Full-time Internship (3–6 months)
Hybrid · Bogor / Jakarta
AI Science Team

Role Overview

Type: Full-time Internship (3–6 months). Strong performers fast-tracked to potential full-time employment.

About Aisensum

We build agentic AI teammates, custom AI agents like Daniel, Sasha, and Nicole that eliminate grunt work and boost efficiency.

Who We Want

A fresh grad or final-year student (preferably Economics / Econometrics / Statistics / Mathematics / Data Science) who is strong on business thinking, comfortable with SQL & Python, and can translate messy data into decisions that affect revenue, margins, or productivity. Work on real client projects: turn raw transaction/CRM/kiosk data into actionable models, dashboards, and recommendations that drive measurable business outcomes.

Key Responsibilities

Clean, merge, and QA multi-source datasets (CRM, POS, kiosks, Excel extracts).
Write & optimise SQL (joins, aggregations, window functions).
Descriptive analytics: cohorts, funnels, RFM/RFMP, conversion funnels.
Build and validate logistic regression/propensity models; interpret results for business owners.
Produce management-ready charts, short slide summaries, and one-line recommendations.
Support Senior Ops/AI Science in data checks, UAT, and deployment monitoring.
Document assumptions, edge-cases, and data quality issues.

Must-have Skills

Degree: Economics / Econometrics / Statistics / Math / Data Science (or equivalent).
SQL: basic → intermediate (joins, group by, filters; window functions preferred).
Python: Pandas / NumPy for data cleaning & analysis.
Statistics: regression (logistic), hypothesis testing, distributions, sampling.
Business sense: can answer — “what does this number mean for revenue, cost, or quality?”
Clear written English and attention to detail.

Nice-to-have

Experience with BI tools (Tableau / Power BI / Looker Studio).
Coursework or projects in propensity modelling, pricing, and demand forecasting.
Basic familiarity with Git or other version control systems.
Exposure to real-world datasets (through internships, competitions, and capstone projects).

What You’ll Learn

Running end-to-end analytics for paying clients (not toy datasets).
Turning models into decisions that affect ROI / ROT / ROQ.
Exposure to deploying AI teammates (Daniel / Sasha / Nicole use-cases).

Internship Details

Duration: 3–6 months (flexible).
Mode: Hybrid (preferably in Bogor/Jakarta).
Start: specify on application.
Stipend: As per institute/policy (will be communicated at offer stage).
Assessment: Short coding/data test + short case discussion.

How to Apply

Send your CV (max 2 pages) + a 200-word note — “One business problem where data can improve decisions” — to [email protected]. Subject: Application – Data Analyst Intern – AI Science.

Apply for this role