Mashreq Bank Jobs 2026 – Assistant Manager AI & Machine Learning (Remote)
Mashreq Bank has opened a fully remote role for an Assistant Manager, AI & Machine Learning. It’s aimed at people who want to put real data science to work inside a bank, not just run experiments on the side. Among the current Mashreq Bank Jobs, this is one of the more technical ones: you’ll build predictive models, dig into customer digital footprint data, and get hands-on with LLM-powered tools for support automation, intelligent search, and digital engagement.
The work sits where machine learning meets digital banking, so most of your day goes into turning behavioral data into insights the business can actually act on. Anyone tracking AI & Machine Learning jobs they can do remotely from Pakistan should give this Mashreq Bank Jobs listing a serious look. Applications are open now.
| Field | Value |
|---|---|
| Position | Assistant Manager – AI & Machine Learning |
| Company | Mashreq Bank Pakistan |
| Location | Pakistan (Remote) |
| Job Type | Remote |
| Experience Required | Not Specified |
| Expected Salary | PKR 150,000 – 450,000/month (est.) ~ Glassdoor |
| Apply Method | LinkedIn application link |
Mashreq Bank Jobs Requirements:
- Strong analytical and problem-solving skills, with real comfort handling large, messy datasets
- Solid machine learning background, building, deploying, and tuning predictive models
- Working knowledge of AI engineering basics and how LLMs get used in real banking scenarios
- Understanding of digital customer journeys and online behavior analytics
- Able to explain technical findings to business and product teams and turn them into recommendations
- Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, Statistics, or a related quantitative/engineering field
Job Description:
- Build and deploy ML models for banking use cases like customer segmentation, churn prediction, next-best-product recommendations, and campaign targeting
- Run predictive analytics to lift customer engagement and product adoption across digital channels, and keep models tuned as their accuracy drifts
- Support marketing teams with campaign analytics: propensity models, attribution, channel effectiveness, ROI, and customer acquisition insights
- Help design AI solutions built on LLMs, chatbots, intelligent assistants, knowledge search, automated content and plug models and APIs into banking platforms
- Experiment with prompt engineering and light fine-tuning to sharpen how the AI performs
- Own data prep and feature engineering: extract, clean, and transform data from multiple banking systems, and work with data engineering on the pipelines
- Deliver analytics on Commercial and Corporate Banking portfolios and CASA to spot opportunities, plus tracking and campaign fulfillment for liabilities, trade finance, and working capital
- Partner with digital banking, marketing, and product teams to find data-driven opportunities and present findings to stakeholders
How to Apply: Apply through the LinkedIn posting here: https://www.linkedin.com/jobs/view/4435954668