More jobs:
Data Analyst Intern; AI Science Team
Job Description & How to Apply Below
About Aisensum
We build agentic AI teammates, custom AI agents like ROI Daniel, ROT Sasha, and ROQ Nadia that eliminate grunt work, boost efficiency
Who we wantA 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.
- Degree:
Economics / Econometrics / Statistics / Math / Data Science (or equivalent). - SQL: basic → intermediate (joins, group by, filters; window functions preferred).
- Python:
Pandas / Num Py 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.
- 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).
- 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 / Nadia use-cases).
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×