Careem is on a mission to transform daily life across the greater Middle East through its Everything App, which simplifies transportation, food and grocery ordering, payment management, and more. Since its inception in 2012, Careem has empowered over 2.5 million Captains to earn income and served more than 70 million customers across 70 cities in 10 countries. The company fosters a thriving platform for regional talent and entrepreneurs, driven by innovation to improve lives. The Data Science team is central to this vision, utilizing AI and advanced analytics to enhance user experiences, support decision-making, and boost operational efficiency. As a Senior AI Engineer, you will lead a team of top data science professionals to develop and deploy state-of-the-art machine learning, deep learning, optimization, and reinforcement learning models on Careem’s proprietary AI platform, addressing real-time challenges across the region.

Key Responsibilities

- Develop a strategic vision to transform customer acquisition and engagement by leveraging data-driven insights.
- Perform exploratory data analysis to understand user behavior and ecosystem dynamics, identifying new opportunities to improve key metrics.
- Build and refine predictive models of user behavior to support product improvements and strategic decisions.
- Influence the design and implementation of data and machine learning models, instrumentation, and analytics to optimize product experiences and uncover growth opportunities.
- Provide product leadership by delivering data-based recommendations, communicating business performance, root causes of metric changes, and experimentation results to guide product and business strategies.
- Implement scalable machine learning algorithms for production environments handling large datasets.
- Lead exploratory projects to deepen understanding of complex phenomena and identify untapped growth and optimization areas.
- Address complex analytic challenges using big data to shape Careem’s products and services.
- Define and monitor key performance indicators for projects.
- Design and execute randomized controlled experiments, analyze outcomes, and communicate findings effectively across teams.
- Continuously evaluate new data processing technologies and ensure adherence to industry best practices, challenging the status quo.

Required Qualifications

- Advanced degree in a quantitative field such as Physics, Statistics, Mathematics, Engineering, or Computer Science.
- Extensive experience in data mining, predictive modeling, time series analysis, machine learning, and Big Data techniques.
- Strong problem-solving skills and proficiency in coding.
- Deep understanding of marketplace challenges in ride-hailing and delivery services.
- Solid expertise in A/B testing, classical machine learning, and deep learning methods.
- Experience with recommendation systems, learning to rank, uplift modeling, and matching problems.
- Proficiency in Python, SQL, Spark, and Hive.
- Hands-on experience with database technologies including Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, and MySQL.
- Familiarity with business intelligence and visualization tools such as Tableau, MicroStrategy, ChartIO, or Qlik.
- Excellent oral and written communication skills in English.
- Experience working within Agile development environments.

Preferred Qualifications and Benefits

- Skills in geospatial data processing are a plus.
- Opportunity to collaborate with a leading regional AI ecosystem and top-tier data science talent.
- Join a purpose-driven organization dedicated to simplifying and enhancing lives across the Middle East.
- Work on impactful projects serving millions of users in real-time.
- Thrive in a diverse and inclusive workplace committed to equal employment opportunity and continuous innovation.

This role offers a unique opportunity to shape the future of AI-driven services in a dynamic and fast-growing market, contributing to a mission that positively impacts millions of lives.

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Age:
18 - 65 Years
Degree Title:
Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science
Career Level:
Manager
Maximum Experience:
5 Years
Apply Before:
Oct 05, 2025
Posting Date:
Sep 04, 2025

Careem

· 11-50 employees - Lahore

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