What You will do (Responsibilities) :

• Build, test, and deploy AI agents across Finance, Credit, Procurement, and Operations.
• Convert business workflows into production-grade models and automated pipelines.
• Integrate LLMs with internal systems and data sources.
• Work with Product and Engineering to deliver measurable efficiency gains, accuracy improvements, and adoption.
• Maintain model quality, observability, and versioning.
• Ensure compliance with PDPL and internal security standards.

Who You are (Qualifications) : 

* Strong Python
* Experience with LLMs and vector stores
* Experience with model evaluation, fine-tuning, and prompt engineering
* Building and deploying AI services on cloud platforms
* Strong data skills
* Knowledge of workflow automation
* API design and integration
* Understanding of security, PDPL, and responsible AI handling
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, Pinecone or equivalent vector DB, PostgreSQL, GitHub, Docker, Terraform, n8n or similar workflow tools, basic GCP or AWS services for deployment and monitoring

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options 

About the team

The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region’s AI ecosystem. As one of the leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with and leading the top data science talent of the region, leveraging AI to solve the region’s day-to-day problems, through state-of-the-art machine learning, optimization, deep learning, and RL models, that are deployed on top of our own in-house AI platform, serving users in real-time.

What you'll do

• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision making.
• Drive exploratory analysis to understand the ecosystem, user behavior, identify new levers to help move metrics, and build models of user behaviors for analysis and product enhancements.
• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
• Provide product leadership by sharing data-based recommendations to communicate state of business, root cause of change in metrics, and experimentation results influencing product and business decisions
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achievea  better understanding of phenomena as well as to discover untapped areas of growth and optimization. 
• Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
• Help define and track the appropriate key metrics for specific projects. 
• Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.

What you'll need

• Experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
• Strong problem solving and coding skills.
• Solid knowledge of and experience with marketplace problems in ride hailing and delivery services. 
• Solid knowledge of AB testing, classic ML and DL
• Solid understanding of recommendations, learning to rank, uplift modeling and matching problems. 
• Fluency in English along with excellent oral and written communication skills.
• Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
• Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
• Knowledge of Agile methodologies.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

What You will do (Responsibilities) :

• Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
• Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
• Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
• Own model lifecycle, reliability, and PDPL compliance. 
• Guide standards for data quality and ML practices. Mentor ML and AI engineers.

Who You are (Qualifications) : 

* Expert Python and ML engineering.

* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options 

About the Team:

Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards. You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region’s day to day problems.

The Careem Analytics team’s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them. 

Responsibilities

• Collect, clean, and analyze structured and unstructured data from various internal and external sources.
• Build and maintain dashboards and reports to track KPIs and business performance.
• Work with cross-functional teams (product, engineering, and operations) to understand data needs and deliver actionable insights.
• Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Support experimentation (A/B testing) and data-driven decision-making.
• Write SQL queries and use analytical tools to extract, transform, and analyze data efficiently.
• Leverage AI and automation tools to streamline recurring analytical tasks, improve data workflows, and enhance productivity.
• Explore opportunities to integrate AI-assisted insights (e.g., anomaly detection, trend forecasting, text summarization) into dashboards and reports.
• Document data definitions, methodologies, and analysis processes.
• Ensure data quality, integrity, and accuracy in reporting systems.
• Present findings clearly through visualizations and storytelling to both technical and non-technical stakeholders.
  
  

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Statistics, Economics, or a related field.
• 0–2 years of experience as a Data Analyst or in a similar analytical role.
• Strong SQL skills and proficiency in at least one analytical language (Python or R).
• Strong SQL and Python skills, with experience in analytical libraries (e.g., pandas, NumPy, SciPy).
• Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau, Looker, or Metabase).
• Understanding of data modeling, ETL processes, and database concepts.
• Basic knowledge of statistics and hypothesis testing.
• Familiarity with AI tools (e.g., ChatGPT, Gemini, Copilot) and an understanding of how to apply them to automate analyses, improve data exploration, and enhance decision-making.
• Curiosity to experiment with emerging AI capabilities for workflow optimization and insight generation.
• Strong attention to detail and ability to manage multiple priorities.
• Excellent communication and presentation skills with the ability to explain insights effectively.
• Strong attention to detail, analytical curiosity, and a bias for driving measurable impact.
• Experience with version control (Git) and data warehouses (BigQuery, Redshift, Snowflake) is a plus.

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Work 4 days a week in office & 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
• Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.

About the Team:

At Careem, the mission for the NextGen Programme is to help grow our engineers by learning how to write Clean Code, use SOLID principle techniques, and design reliable systems. The ultimate goal is to train new engineers to build excellent foundations with high standards. Our Programme covers vast areas in engineering:  Backend, Frontend, Web, Mobile, Data Analysis, MLOps, Infrastructure, Cyber Security and QA.

Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards.You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region’s day to day problems.

The Careem Analytics team’s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them. 

Responsibilities:

• Act as the first point of contact to answer all business data queries
• Develop effective reporting solutions by utilizing engineering best practices and various reporting tools
• Participate in continuous improvement of these reporting solutions
•  Ability to quickly understand business requirements and questions and find innovative ways to answer those through data analysis
• Drive and support your designated business unit by converting complex data and findings into understandable tables, graphs, and written reports 
• Present appropriate analysis and commentary to technical and non-technical audience 
• Gain subject matter expertise and help define appropriate key metrics for the business unit and discover untapped areas for business improvement 
• Run regular data integrity audits 
• Devise and evaluate methods for collecting data, such as surveys, questionnaires, and opinion polls 
• Gather data about consumers, competitors, and market conditions

Qualifications:

• 2-4 years of demonstrated experience working in an analytical role 
• 1+ years of demonstrated experience with business intelligence and visualization tools creating management dashboards 
• Strong analytical skills with expertise in SQL and large datasets 
• Passion for learning new technologies and working on large-scale, impactful products.
• Expert at writing SQL queries against large amounts of data 
• Self-starter with excellent communication, organizational skills, and the ability to work in complex operational environments.   
• Ability to get hands-on in a complex operational environment 
• Must be process oriented and a logical thinker with good attention to detail 
• Experience with BI tools (e.g., Tableau, MicroStrategy, Looker) for dashboards 
• Knowledge of Python, R, Spark, Hive, and data lakes (preferred)

What we’ll provide you

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a Careem colleague you will be able to:

• Work and learn from great minds by joining a community of inspiring colleagues.
• Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
• Explore new opportunities to learn and grow every day.
• Enjoy the flexibility that comes with the trust of being an owner; work in a hybrid style with a mix of days at the office and at home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.
• Access to healthcare benefits and fitness reimbursements for health activities including: gym, health club and training classes.