Senior Data Scientist - Artificial Intelligence & Machine Learning

Join Careem as a Senior Data Scientist II, specializing in supply chain analytics. In this role, you will leverage advanced data science techniques to drive decision-making and optimize operations across our supply chain network.Your responsibilities will include analyzing complex datasets, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions that enhance efficiency and reduce costs.

Careem is revolutionizing the Greater Middle East with the Everything App, simplifying transportation, food delivery, grocery shopping, payment management, and much more. Our mission is straightforward: to enhance lives and cultivate an inspiring organization.Since our inception in 2012, we have empowered over 2.5 million Captains, improved the lives of more than 70 million customers, and established a platform that nurtures the best talent and entrepreneurship in the region. Our operations span over 70 cities in 10 countries, from Morocco to Pakistan.As we embark on our next chapter powered by AI, we seek innovative minds: inquisitive problem-solvers capable of harnessing AI to develop tools, automate workflows, and create significant impacts. Whether it’s optimizing operations, enhancing customer experiences, or transforming internal systems, we want individuals who can help Careem evolve to work smarter and move faster.About the TeamThe Careem Data Science team is dedicated to extracting competitive value from data at scale by developing AI models that enhance user experiences and operational efficiencies, while leading the region's AI landscape. As a tech leader on this team, you will play a crucial role in achieving this mission, collaborating with top data science talent and innovating user experiences using Generative AI.What You'll DoParticipate in an AI transformation of the Careem app, focusing on personalized user experiences.Develop a long-term vision for customer acquisition and engagement strategies, employing data-driven decision-making.Conduct exploratory analyses to comprehend the ecosystem and user behavior, identifying new levers to influence metrics and create user behavior models for analysis and product enhancements.Shape and influence data/ML models to optimize product experiences and unveil insights into new opportunities and products.Provide product leadership by sharing data-driven recommendations that clarify business states, identify root causes of metric changes, and present experimentation outcomes, thereby influencing product and business decisions.Implement scalable machine learning algorithms that enhance operational efficiencies.

Join our dynamic team at Sia as a Senior Consultant specializing in Retail and Supply Chain Management. In this role, you will leverage your expertise to drive innovative solutions and enhance operational efficiency for our clients.Your responsibilities will include analyzing client needs, developing strategic recommendations, and implementing effective supply chain solutions. You will work closely with diverse teams to ensure successful project delivery and client satisfaction.

About PXGEO PXGEO delivers marine geophysical services, combining ocean bottom and towed streamer seismic data acquisition to provide detailed subsurface imaging. The company focuses on supporting sustainable practices in the energy sector. Role Overview The Senior Supply Chain Specialist - Procurement manages procurement and logistics activities for PXGEO, ensuring these processes meet company standards and safety requirements. This position works closely with technical and operational teams, both onshore and offshore, and supports functions in Dubai, Houston, and other operational sites. The role is based in Dubai, United Arab Emirates. Main Responsibilities Follow Company Management System Procedures in all procurement activities. Support corporate teams in Houston and Dubai, as well as other operational locations. Assist with negotiating contracts and fuel rates for bunker providers, and manage related commercial agreements. Review and negotiate supplier quotations, focusing on commercial and contractual terms, and obtain necessary approvals. Prepare and issue purchase orders for corporate and expenditure needs to suppliers listed on the Approved Vendor List (APL). Conduct supplier risk assessments and develop negotiation strategies when needed. Select suppliers based on competitive pricing, payment terms, and delivery schedules. Draft Non-Conformities Reports (NCR) based on vendor performance and quality standards. Oversee vendor onboarding and evaluate ongoing supplier performance. Update and distribute the Expediting Worksheet and Agent Feedback Report regularly. Maintain organized records of purchase orders, both in physical and electronic formats. Build and sustain strong relationships with all suppliers. Participate in the Emergency Response team as described in the Emergency Response Plan. Monitor compliance with procurement processes and help maintain procurement databases and archives. Identify opportunities for cost savings and process improvements, and implement these initiatives.

Join Envision Employment Solutions as we seek a talented Senior Data Scientist for our esteemed partner, a global frontrunner in IT Services and Consulting.Position Overview:We are on the lookout for a highly knowledgeable Senior Data Scientist who will take charge of designing, constructing, and implementing cutting-edge machine learning and natural language processing (NLP) solutions, including applications based on large language models. The successful candidate will possess significant production experience, deep understanding of transformer architectures, and the capability to spearhead technical projects from inception through to deployment.Key Responsibilities:Machine Learning & NLP DevelopmentCraft and develop comprehensive machine learning models, with a strong emphasis on NLP applications.Fine-tune and deploy large language models, including GPT, BERT, and LLaMA, tailored for specific applications.Construct, train, and assess deep learning models utilizing frameworks like TensorFlow, PyTorch, or Keras.Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions.Enhance and optimize transformer-based models for tasks such as summarization, Q&A, and document intelligence.Assess and refine prompt engineering strategies for improved context efficiency.Data Engineering & PipelinesDevelop robust data pipelines utilizing tools such as Airflow, Spark, or Dataiku.Engage in data wrangling and preprocessing using libraries like pandas and NumPy.Design and oversee feature stores.Integrate and manage vector databases such as Pinecone, FAISS, or Chroma.Model Deployment & ProductionEstablish and maintain RESTful APIs for deploying ML models in production environments.Implement scalable AI services and manage continuous integration/continuous deployment (CI/CD) pipelines.Monitor model performance, including drift detection and lifecycle management.Conduct A/B testing, ensemble blending, and utilize explainability techniques such as SHAP and LIME.Statistical & Analytical ExpertiseUtilize advanced statistics, probability theory, and experimental design.Conduct hypothesis testing and data-driven analyses to inform business decisions.Collaboration & IntegrationCollaborate effectively with product and engineering teams to integrate AI solutions into production systems.Work alongside cross-functional stakeholders to deliver scalable AI capabilities.Requirements:Qualifications:Bachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, or a related field.At least 4 years of experience in machine learning and data science roles.Demonstrated history of delivering production-grade ML and NLP projects.Experience in leading small data science teams or technical projects.

Modeling Expertise:Proven experience in designing and implementing propensity models focused on cross-selling and upselling opportunities.In-depth knowledge of Next Best Action / Next Best Offer systems.Solid understanding of supervised learning methodologies, uplift modeling, and causal inference techniques.Programming & Engineering:Proficient in Python (required); knowledge of R or Scala is advantageous.Experience with distributed computing frameworks such as Spark, Dask, or Ray.Skilled in developing production-level ML pipelines using tools like Airflow, MLflow, or Kubeflow.Strong familiarity with software engineering best practices including version control, CI/CD, and thorough testing.Data Infrastructure:Experience with cloud platforms (AWS/GCP/Azure) and data warehouses (Snowflake, BigQuery, Redshift).Excellent SQL skills; adept at optimizing queries and handling large datasets.MLOps & Deployment:Proven ability to deploy models to production using APIs or streaming technologies (Kafka, Flink).Experienced in model versioning, experiment management, and deployment practices with MLflow, SageMaker, or Vertex AI.Monitoring & Observability:Capable of establishing model monitoring, drift detection, and alerting systems utilizing Prometheus, Grafana, Evidently, or custom dashboards.Familiarity with logging frameworks and performance profiling for ML services.GenAI (Preferred):Experience with Large Language Models, embeddings, prompt engineering, and vector databases (e.g., FAISS, Pinecone).Ability to incorporate GenAI into decision-making systems or customer-facing applications.Leadership & Collaboration:Proven leadership skills to guide senior data scientists while maintaining a hands-on approach.Adept at collaborating with product managers, engineers, and business stakeholders.

Segula Technologies is seeking a dynamic and experienced Corporate Supply Chain Manager specializing in the automotive sector. This role will be pivotal in managing supply chain operations across our offices in Dubai and China. The ideal candidate will have a proven track record in supply chain management and a deep understanding of the automotive industry.The role encompasses overseeing logistics, optimizing supply chain processes, and ensuring seamless operations that align with our corporate goals. You will be responsible for developing strategies to reduce costs, enhance efficiency, and improve service levels.

Dataiku is at the forefront of AI innovation, providing an enterprise orchestration layer that simplifies the creation, deployment, and governance of AI solutions. Our platform empowers teams to design and operate analytics, machine learning, and AI agents within a collaborative environment that emphasizes transparency and control. By integrating seamlessly with various data platforms, cloud infrastructures, and AI services, Dataiku enables organizations to implement AI strategies effectively across diverse vendor environments with centralized governance.Renowned companies across the globe depend on Dataiku to transform AI into a genuine driver of business performance, delivering measurable outcomes. For further insights, visit the Dataiku blog, LinkedIn, X, and YouTube.As a Senior Data Scientist at Dataiku, you will play a pivotal role in addressing real-world challenges by developing innovative solutions while also engaging directly with clients throughout their journey. Your responsibilities will encompass assisting clients in exploring the Dataiku platform, integrating it with other technologies, delivering user training, and collaboratively developing data science projects from inception to deployment.In this position, both technical and interpersonal skills are essential. You will leverage the Dataiku platform daily, utilizing primarily Python and SQL, with opportunities to work in other languages such as R, PySpark, and JavaScript. The ideal candidate will possess a passion for mastering complex technologies and modeling techniques and will be adept at articulating their work to both fellow data scientists and clients.Your contributions will include:Co-developing production-level data science projects in partnership with our clients.Analyzing diverse datasets and exploring machine learning applications across various industries and use cases.Facilitating user training sessions and providing ongoing consultative support to help users maximize their use of the Dataiku platform.Offering data science expertise to both customers and internal teams, including sales and marketing.

Job Title: Lead Data Scientist / Expert in Data Insights.Roles and Responsibilities:Demonstrated proficiency in Business Intelligence tools, particularly Tableau and MicroStrategy, ensuring a continuous flow of actionable data.Strong understanding of the transformative impact of data analytics on business operations, highlighting its advantages.Innovate by developing decision analytics solutions utilizing advanced methodologies and techniques.Design user-friendly processes and reporting models that empower business units to access and manage their data in real-time.Oversee engagement methodologies to ensure compliance, mitigate risks, and maintain the highest quality standards, collaborating with teams to implement necessary adjustments.

Join Point72's Cubist Systematic Strategies as a Data Scientist and leverage your analytical skills to shape systematic trading models. Collaborate with top-tier quantitative researchers and contribute to the development of innovative data-driven trading strategies across global financial markets in an engaging and dynamic work environment.

Join Careem as a Staff Data Scientist I in our dynamic ETA (Expected Time of Arrival) team, where you will leverage data science techniques to enhance our services. You will work with cross-functional teams to solve complex challenges, drive insights from data, and contribute to product development.

Join our dynamic team at Kanadeviainova as a Supply Quality Expeditor, where you will play a vital role in ensuring the quality and efficiency of our supply chain processes. Your expertise will be instrumental in coordinating materials and communicating with suppliers to maintain our high standards. We are seeking a proactive and detail-oriented individual who thrives in a fast-paced environment.

Join our dynamic team as a Data Scientist | Quantitative Analyst at connecthum, a rapidly expanding trading firm dedicated to enhancing its research and analytical capabilities.About connecthum:Experience a quant-driven trading environment.Engage in fast decision-making cycles that have a measurable impact on P&L.Be part of a data-first culture.Help scale research throughput to expedite strategy development.In this pivotal role, you will bridge the gap between trading, data science, and strategic decision-making.Your Contributions:Establish yourself as the primary expert in trading-related analytics and dashboards.Take ownership of and enhance strategy rebalance frameworks.Conduct hypothesis testing and backtesting on trading strategies.Assess and optimize existing trading strategies.Enhance access to clean, structured, and actionable data.Develop reporting pipelines and insightful dashboards.You will gain direct visibility into trading performance and the strategic impact of your work.Technical Environment Overview:Utilize Python for production-grade analytical workflows.Engage in large-scale SQL querying and work with analytical databases.Employ data visualization and dashboard tools.Implement statistical modeling and hypothesis validation techniques.Perform time-series analysis.Your Strengths:Proficient in Python with the ability to write clean, reproducible analytical code.Confident in handling large datasets using SQL.Strong grasp of statistics and probability principles.Experience in data visualization and reporting.Demonstrates an independent and self-motivated mindset.Excellent communicator — able to translate complex data into actionable decisions.Fluent in English.Willingness to relocate to Dubai.Preferred Qualifications:Background in trading or financial domains is a plus.

Join Careem as a Staff Data Scientist I specializing in matching algorithms. In this role, you will leverage your expertise to enhance our platform's capabilities, driving innovation and maintaining our competitive edge in the market.

AECOM is seeking a Graduate Data Scientist to join its Dubai office. This position is open exclusively to Emirati nationals. The role centers on supporting client projects that involve technology and analytics, working as part of a team of experienced data professionals. Key responsibilities Assist with data-driven projects, contributing from the initial analysis through to final delivery Collaborate with senior team members to help develop tailored solutions for clients Build practical skills in data science and analytics while working on real-world assignments Who can apply This role is open to Emirati nationals who are interested in starting a career in data science and analytics.

Envision Employment Solutions is actively seeking a Lead Data Scientist for our esteemed partner, a prominent player in the IT Services and IT Consulting sector.Job Overview:We are in search of a forward-thinking AI leader who will spearhead our enterprise-scale AI initiatives, including strategy formulation, architecture design, and successful project execution. This pivotal role necessitates profound knowledge of large language models (LLMs), AI governance, and robust machine learning platforms, along with exceptional leadership and communication skills that resonate with executive stakeholders.The ideal candidate will possess a wealth of experience in constructing and scaling enterprise AI ecosystems while managing interdisciplinary teams in multifaceted environments.Key Responsibilities:Strategic AI LeadershipEstablish and execute AI roadmaps that are in harmony with corporate objectives.Oversee the comprehensive model lifecycle, from research and experimentation through to production deployment.Ensure that AI projects deliver quantifiable ROI and tangible business benefits.LLM & NLP Architecture (Enterprise Level)Architect LLM ecosystems, including RAG pipelines, orchestration layers, and fine-tuning methodologies.Guide domain-specific model fine-tuning and pretraining utilizing proprietary datasets.Integrate state-of-the-art platforms such as Azure OpenAI, AWS Bedrock, Anthropic Claude, and Google Vertex AI.Define governance, compliance, and security frameworks for LLM implementations.Establish evaluation criteria for hallucination rates, factual accuracy, bias, and toxicity.Infrastructure & GovernanceDevelop and manage data governance policies and feature store strategies.Lead frameworks for model observability, monitoring, and drift management.Collaborate with DevOps and Security teams to guarantee scalability, resilience, and compliance.Team & Stakeholder LeadershipAssemble and mentor multidisciplinary AI teams, including Data Scientists, ML Engineers, and Data Engineers.Provide mentorship to senior scientists and establish research best practices.Engage directly with executive leadership and non-technical stakeholders.Assess AI vendors and explore technology partnerships.Qualifications:Master’s or PhD in AI, Machine Learning, Computer Engineering, Applied Mathematics, or a related field.A minimum of 7 years of overall professional experience.At least 2 years in AI/ML leadership positions.Demonstrated capability to build and scale enterprise-level AI/LLM platforms.Leadership Competencies:Innovative mindset that propels enterprise-wide transformation.Exceptional executive communication and influence skills.Focused on delivering measurable ROI, scalability, and ethical AI practices.

Role Overview Delivery Hero is hiring a Staff Data Scientist focused on Artificial Intelligence (AI) and Machine Learning (ML) in Dubai. This senior position plays a key role in advancing how the company uses data to make decisions and improve services. What You Will Do Work with teams across the business to design and build advanced algorithms and models. Apply AI and ML techniques to solve real problems and improve customer experiences. Help guide the direction of data science projects that influence the future of Delivery Hero’s offerings. Location This role is based in Dubai.

We are looking for a talented and experienced Senior Data Engineer to join our dynamic Data Engineering team in Dubai. The successful candidate will play a pivotal role in designing, constructing, and enhancing scalable data pipelines, while also facilitating advanced analytics and machine learning applications. This position demands a deep understanding of big data technologies, data processing frameworks, and feature engineering to effectively support machine learning models in a live production setting.Key ResponsibilitiesCollect and assess business and technical requirements for effective data solutions.Conduct Exploratory Data Analysis (EDA) to reveal data patterns and assess data quality.Design, develop, and maintain high-performance, scalable data pipelines.Ingest both structured and unstructured data from various sources.Transform and process extensive datasets using PySpark and Python.Apply feature engineering techniques to enhance machine learning models.Optimize Spark jobs for peak performance and cost efficiency.Ensure the quality, integrity, and security of data across all pipelines.Collaborate closely with Data Scientists, Analytics Teams, and Delivery Leads.Participate in an Agile environment alongside cross-functional teams.Effectively communicate with stakeholders, providing valuable technical insights.Utilize Git for version control and manage CI/CD workflows.Required Skills & ExpertiseProven experience in Python and PySpark.In-depth knowledge of Apache Spark (performance tuning and optimization).Comprehensive understanding of the Hadoop ecosystem.Advanced skills in SQL.Experience in building end-to-end data and ML pipelines.Strong grasp of data modeling and warehousing concepts.Experience with feature engineering for ML applications.Familiarity with Git and version control systems.Exposure to cloud platforms (AWS/Azure/GCP) is advantageous.QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or a related field.8–10+ years of experience in Data Engineering / Big Data.Experience in the banking or financial services sector is preferred.Soft SkillsExceptional problem-solving and analytical skills.Strong communication and stakeholder management abilities.Capability to work both independently and collaboratively within a team.Adaptability to fast-paced Agile workflows.

Join a premier restaurant group in Dubai, renowned for its award-winning culinary experiences! We are currently seeking a dedicated and skilled Commis II to be part of our expanding team as we open new outlets.The Commis II will work closely with the Executive Chef and report directly through the Sous Chef/CDP/DCDP, contributing to the kitchen’s success.Key Responsibilities:Uphold high standards of work as directed by the Executive Chef.Prepare, cook, and serve food with a focus on quality and presentation, under the guidance of senior chefs.Manage stock movements and ensure proper ordering within your section.Assist in achieving food cost targets and kitchen standards.Conduct daily and weekly kitchen procedures, including temperature checks and food labeling.Ensure a safe kitchen environment by addressing hazards and reporting issues.Maintain excellent personal hygiene and a clean uniform.Follow company procedures regarding food safety, cleanliness, and hygiene at all times.Support with the acceptance and storage of deliveries according to company protocols.Be punctual and report directly to the kitchen manager upon arrival.Understand menu planning and stock management to support kitchen profitability.Familiarize yourself with kitchen opening and closing procedures.Maintain cleanliness in your section and assist with hygiene tasks as requested by senior chefs.Be knowledgeable about hygiene controls and workplace chemicals.Actively participate in self-development while liaising with the Executive Head Chef.Contribute to the smooth operation of the kitchen.Attend meetings and training sessions as required.Comply with reasonable requests from superiors.Support other sections and assist with duties during peak times or emergencies.