Your safety comes first — read before you go. Taf4All only lists job offers published by third parties. We are not the employer, we do not conduct these recruitments, and we cannot guarantee what happens once you make contact — you deal directly with the person or company behind the offer, at your own risk.
Formation / DiplĂ´mes
Job Description Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena. Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques, working closely with clients, data and technology teams to turn data into critical information used to make sound business decisions. Essential Functions Develop and deploy machine learning and statistical models to solve business problems Perform data preprocessing, cleansing and feature engineering to improve model performance. Analyse large datasets to identify patterns, trends and insights for decision-making. Design and maintain data pipelines and ETL processes to support analytics. Translate business needs into data science solutions in collaboration with stakeholders. Build and maintain predictive models (credit risk, churn, propensity). Present insights through visualisations and reports to business stakeholders. Support model deployment and integration into production systems and ensure performance.
---
[Click the Apply button below to apply, and Create my CV to build a CV tailored to this offer, professionally]
Extractive industry — Mining companies systematically verify your safety certifications (BOSIET, H2S, first aid). If you have them, list them with expiry dates. Rotation schedule experience is often decisive.
Active portfolio — Your GitHub profile or online portfolio is your real CV for an IT recruiter. Build it with your 2-3 best projects before applying — it's your most convincing proof of competence.
🎯 Make your application ATS-ready
ATS (Applicant Tracking Systems) are the software recruiters use to automatically filter CVs before any human reads them. Our CV builder is specifically designed to pass these filters — and it takes under 3 minutes.
Taf4All only lists job offers published by third parties. We are not the employer, we do not conduct these recruitments, and we cannot guarantee what happens once you make contact — you deal directly with the person or company behind the offer, at your own risk.
•Never pay any amount of money — for a file, a training, a uniform, or an interview. A real employer never asks the candidate to pay.
•Never send a photo of your ID card, passport, or banking details before you have physically verified the employer exists.
•Always meet in a public place, during the day — never an isolated address, a private home, or a location you cannot verify in advance.
•Tell a relative or friend exactly where you are going, with whom, and at what time — and share your live location if possible.
•Search the company name online before going: a real business has a trace (website, reviews, other employees, an official address).
•A salary that is far above the market rate for the position and the city is a red flag — be extra cautious.
FIND MORE JOBS ON APPLY NOW Description of assignment title: Data Specialist Assignment country: Malawi Duty stations: Lilongwe Work location: On UN premises Expected start date: 01/06/2026 Duration: 12 months (with possibility of extension) Long term benefits and allowances Sustainable Development Goal: 17. Partnershi
Data Entry Clerks – Estate Stores Full Time Posted on September 15, 2026 📍 Localisation Blantyre, Malawi Expiry Date September 24, 2026 Company: Sable Farming Company Limited Please Share Overview VACANCIES Sable Farming Company Limited, a leading agribusiness company based in Blantyre, is seeking to recruit qualified