Analytics & Automation Manager at Careem | Karāchi

Analytics & Automation Manager

🏢 Company:
Careem
📍 Location:
Karāchi, Sindh, Pakistan
💼 Job Type:
Full-time
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

About the CompanyCareem is building the Everything App for the greater Middle East making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve peoples lives and build an awesome organisation that inspires.Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the regions best talent and entrepreneurs thrive. We operate in 70 cities across 10 countries, from Morocco to Pakistan.Were now entering our next chapter one powered by AI. Were looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether its streamlining operations, enhancing customer experience, or reimagining internal systems we want people who can make Careem work smarter and move faster.Why this role matters at CareemCareem exists to simplify and improve the lives of people in our region. AI is a key driver of that mission. Whether its predicting demand, optimizing captain incentives, improving delivery ETA accuracy, or automating customer care, youll be helping to build real systems that impact millions of people across the Middle East, North Africa, and Pakistan.This is a hands-on role where youll ship models into production, experiment fast, and learn alongside a talented team thats driving meaningful change.What Youll DoBuild, train, and evaluate machine learning models for key services like ride-hailing, food delivery, and paymentsWork with real-world data and translate it into features, signals, and insightsCollaborate with operations, engineers, product managers, and analysts to tackle challenges like OCR based partner onboarding, dynamic pricing, route optimization, churn prediction, and fraud detectionRun experiments, track model performance, and help roll out models into live systemsImprove the way we serve and monitor machine learning modelsContribute to a strong team culture of learning, iteration, and accountabilityMust-havesWhat youll needBachelors or Masters in Computer Science, Data Science, Statistics, or a related technical fieldUp to 3 years experience working with machine learning in any form: internships, research, personal projects, Kaggle competitions, or a previous jobSolid Python skills, especially with libraries like pandas, NumPy, and scikit-learnA strong grasp of ML fundamentals like classification, regression, cross-validation, and evaluation metricsFamiliarity with at least one ML framework such as TensorFlow, PyTorch, or XGBoostClear communication, curiosity, and the ability to work well in a teamNice-to-havesExposure to deep learning techniques in NLP, vision, or recommender systemsExperience working with large datasets using Spark, Hive, or cloud toolsFamiliarity with model deployment and monitoring workflows (Airflow, MLflow, etc.)Interest in solving real operational challenges like logistics, fraud detection, or customer retentionA GitHub profile or project portfolio that shows what youve builtWhat Youll GetA chance to work on AI problems at regional scale that improve lives and drive real business outcomesA smart, motivated team that values learning and practical impactFlexibility to work remotely, with strong support for collaboration and ownershipA front-row seat to how AI is transforming mobility, delivery, and digital services in emerging markets About the Company Were now entering our next chapter one powered by AI. Were looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether its streamlining operations, enhancing customer experience, or reimagining internal systems we want people who can make Careem work smarter and move faster. Why this role matters at Careem What Youll Do

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