Lead Data Scientist | Expert in Data Insights

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.

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.

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.

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.

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.

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.

Envision Employment Solutions is actively seeking talented Senior Data Management Engineers to join our esteemed partner, a prominent global leader in IT Services and Consulting.Job Overview:We are in search of a Senior Data Management Engineer who possesses extensive knowledge in data architecture, integration, and transformation, with a particular focus on leveraging Informatica tools. The successful candidate will be responsible for designing and implementing comprehensive enterprise data solutions that guarantee data accessibility, quality, governance, and scalability across various business domains.Your role will involve collaboration with cross-functional stakeholders to effectively translate business requirements into secure, reliable, and high-performance data systems.Key Responsibilities:Design, develop, and maintain robust ETL processes and data pipelines utilizing Informatica (PowerCenter, IDQ, or Cloud Data Integration).Optimize data integration workflows for both structured and unstructured data sources.Ensure the highest standards of data quality, integrity, governance, and security across enterprise platforms.Engage in data modeling and architectural discussions.Work closely with data architects, business analysts, and application teams to align data solutions with business objectives.Document data flows, transformations, and system architecture comprehensively.Identify and resolve performance bottlenecks and complex data-related challenges.Support initiatives related to enterprise data governance and metadata management.Qualifications:Bachelor’s degree in Computer Science, Information Systems, or a related field.3 to 5 years of professional experience in data engineering or management roles.Proficient hands-on experience with Informatica (PowerCenter, IDQ, or Cloud Data Integration).Strong SQL skills and familiarity with relational databases (e.g., Oracle, SQL Server).Solid understanding of data warehousing concepts and enterprise data architecture.Experience in data governance and metadata management.Knowledge of cloud data platforms (AWS, Azure, or GCP) is advantageous.Excellent analytical and troubleshooting abilities.Fluent communication skills in English.Benefits and Work Environment:Competitive basic salary.Social insurance coverage.Comprehensive family medical insurance (AXA).Location: Dubai.Work Model: Hybrid – 2 days in the office and 3 days remote. Depending on project requirements, you may be required to work from the client’s premises more frequently.Working Hours: 9 AM to 6 PM.Days Off: Saturday and Sunday.

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.

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 Delivery Hero as a Senior Data Scientist specializing in Artificial Intelligence and Machine Learning. In this pivotal role, you will leverage advanced analytical skills to drive innovative solutions that enhance our delivery services. Collaborate with cross-functional teams to develop algorithms and models that improve operational efficiency and customer satisfaction.

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.

ABOUT US | Whiteshield is a premier global advisory firm strategically positioned at the crossroads of strategy, public policy, and digital transformation. We collaborate with governments and leading organizations to craft and execute initiatives aimed at enhancing economic competitiveness, fostering digital enablement, and ensuring sustainable growth.Our approach uniquely blends strategic advisory services with pragmatic execution. We empower senior decision-makers to navigate intricate regulatory, economic, and technological landscapes, converting aspirations into well-structured programs, delivery frameworks, and quantifiable outcomes.Unlike conventional consultancies that focus merely on recommendations, we remain actively engaged throughout the implementation process, ensuring that transformation plans are not only conceptualized but also effectively realized.WHERE YOU FIT IN | We are developing robust data platforms and architectures that serve as the backbone of national and enterprise transformation initiatives, facilitating decision-making, AI systems, and large-scale digital services.At Whiteshield, data is not an afterthought; it is a core component. From constructing interoperable data ecosystems across various institutions to enabling AI-ready infrastructures, our work operates at the intersection of engineering, analytics, and strategic foresight.We seek a Data Architect capable of bridging both vision and execution. You will delineate how data is structured, governed, and utilized, ensuring it is reliable, scalable, and poised to produce tangible impacts.You thrive in complex, multi-stakeholder environments, adeptly translating ambiguous requirements into clear data models, architectures, and standards. You possess a deep understanding of how contemporary data platforms bolster AI, analytics, and operational systems, and how to design them effectively.Your role will involve close collaboration with engineers, analysts, policymakers, and client stakeholders to build data ecosystems that are not only technically robust but also user-friendly, trustworthy, and aligned with strategic objectives.WHAT YOU WILL DO | Design and implement scalable, secure, and high-performing data architectures across both cloud and hybrid environments.Establish enterprise data models, standards, and governance frameworks to ensure consistency and interoperability.Architect modern data platforms (data lakes, warehouses, lakehouses) to support analytics, AI, and operational use cases.Lead client engagements as a trusted advisor on data strategy, architecture, and platform design.Translate business and policy objectives into structured data solutions and pipelines.Establish data governance practices, including data quality, lineage, cataloguing, and more.

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.

Join our dynamic team at mexdigital as a Data Analyst. We are looking for a detail-oriented individual who is passionate about transforming data into actionable insights. You will be responsible for analyzing complex data sets, generating reports, and presenting findings to stakeholders. This role is ideal for someone who thrives in a fast-paced environment and is eager to contribute to data-driven decision-making.

Welcome to SFORS! As a prominent player in the global financial markets, we pride ourselves on being at the forefront of proprietary trading and pre-market strategies. With over 20 years of experience, our success is driven by a relentless commitment to talent development, cutting-edge trading technologies, sophisticated risk management models, and strategic trading methodologies, all aimed at ensuring our traders achieve remarkable success.We are seeking a talented Data Engineer to join our dynamic team in Dubai. In this role, you will be instrumental in designing, developing, and maintaining robust data pipelines and infrastructure that support our analytics and machine learning initiatives. Your expertise will guarantee the seamless flow of data across various systems, uphold data modeling best practices, ensure stringent data security measures, and empower our teams with high-quality, structured data.

About SFORS SFORS stands out in the global financial markets for its proprietary trading and leadership in pre-market activity. With more than 20 years in the stock market, the firm’s track record is built on talent development, advanced trading technology, strong risk management, and innovative strategies. SFORS operates solely with proprietary funds, focusing on internal growth and long-term sustainability. Role Overview: Data Analyst The Data Analyst will turn complex data into clear, actionable insights that shape business strategy. This role partners with stakeholders to define key performance indicators, build accessible dashboards, and deliver analysis that drives strategic decisions. The analyst helps connect detailed data sets with business needs, ensuring data stories are both accurate and engaging. Main Responsibilities Analyze data to spot trends, anomalies, and areas for growth. Design and maintain automated Business Intelligence dashboards that provide real-time KPI insights. Translate business questions into technical requirements and present findings to non-technical stakeholders. Work with the Data Engineering team to validate data quality and support data model verification. Location This position is based in Dubai, United Arab Emirates.

DeepLight AI is a premier consultancy specializing in artificial intelligence and data solutions, renowned for our extensive expertise in deploying intelligent enterprise systems across diverse industries, particularly in financial services and banking. Our team merges profound knowledge in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a pragmatic grasp of intricate business operations.The Data Engineer will play a pivotal role in designing, implementing, and optimizing data pipelines and infrastructure to bolster our innovative AI systems. This role involves close collaboration with our cross-functional team to ensure the effective collection, storage, processing, and analysis of large-scale data, unlocking valuable insights and fostering innovation across various sectors.

Join Our Team as a Driver and Data Collector!At Terry Soot Management Group (TSMG), we specialize in field data collection where automation cannot reach. Our mission is to provide detailed and accurate data through counting features, capturing images, recording videos, and documenting speech. Since our inception in 2017, we have expanded our teams across Europe and North America, always ready to take on new challenges.Project OverviewWe are currently seeking enthusiastic drivers to assist in collecting images of streets, key points of interest, and public areas throughout the EU. You will operate vehicles equipped with 360-degree removable cameras that capture everything around you, storing these images for future enhancements of one of the world's most popular online maps.Your role will involve following specific routes in commercial districts and historical sites, ensuring that we gather high-quality images, even revisiting areas as needed due to weather conditions. The project is expected to last between three to six months, offering diverse data collection opportunities.The perfect candidate will be someone who enjoys driving, is familiar with local traffic patterns, and possesses a strong sense of responsibility and reliability.The work schedule is Monday to Friday, with 8-hour shifts totaling 40 hours per week. Weekend work may be necessary during weather-related downtime.

Join sia as a Data & AI Consulting Manager, where you will lead innovative projects that harness the power of data and artificial intelligence to drive transformative solutions for our clients. In this dynamic role, you will collaborate with cross-functional teams to develop strategies and deliver insights that enhance business performance.