Data Scientist Jobs

## Full Description Location: Remote (need to fly to Dubai on demand)/Hybrid in Dubai Department: AI & Machine Learning Industry/Project: cutting-edge AI projects that impact dental diagnostics and patient care The client is a leader in AI innovation in healthcare, developing machine learning models for precise diagnostics. Our work in the field of Computer Vision focuses on enhancing dental imaging and diagnosticsby optimizing advanced inference engines. We are seeking a Data Scientist – Computer Vision to refine and improve our inference engine results as we train and optimize our machine learning algorithms. The ideal candidate will have experience in narrow AI, particularly in computer vision, and will work closely with our AI/ML teams to improve the accuracy of our model predictions Responsibilities: • Model Optimization: Improve the inference engine’s results by fine-tuning models. • Data Annotation & Training: Work with annotated datasets to develop AI models. • Computer Vision Algorithms: Implement and improve machine learning algorithms. • Performance Evaluation: Analyze model performance, adjusting hyperparameters and feature selection to maximize accuracy and efficiency. • Collaboration: Work alongside software engineers. • Pipeline Development: Develop automated workflows for training, testing, and deploying computer vision models. Research & Development: Stay up to date with the latest advancements in deep learning, neural networks, and AI-driven medical imaging. Requirements • 3+ years of experience working with computer vision models in a real-world application. • Strong programming skills in Python, with experience using TensorFlow, PyTorch, OpenCV, or similar frameworks. • Experience in medical imaging, 3D render processing, or dental diagnostics is highly desirable. • Proficiency in deep learning architectures (CNNs, GANs, Transformers, etc.). • Familiarity with data labeling techniques and synthetic data generation. • Strong understanding of model evaluation, bias detection, and continuous training methodologies. • Experience working with cloud-based AI/ML platforms (AWS SageMaker, Google AI, etc.). Preferred Skills: • Hands-on experience with 3D reconstruction, segmentation, and annotation tools. • Background in biomedical imaging, medical AI, or healthcare AI applications. • Knowledge of regulatory considerations for AI in healthcare (e.g., HIPAA, GDPR for medical data). • Strong communication skills to work with healthcare professionals, researchers, and engineers in an interdisciplinary environment.

Company Description: Work with Us. Change the World. At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations. There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world. We're one global team driven by our common purpose to deliver a better world. Join us. Job Description: We are seeking an organized and detail-oriented Assistant Project Manager to join our urbanism and planning team in Dubai, United Arab Emirates. In this pre-contract phase role, you will provide critical support to senior project managers while managing documentation, coordinating stakeholders, and ensuring compliance with planning regulations. Responsibilities: • Assist senior project managers in coordinating all pre-contract phase activities, including feasibility studies, site analysis, and preliminary planning assessments • Prepare and maintain comprehensive project documentation, including meeting minutes, progress reports, and compliance checklists • Analyze urban planning requirements and zoning regulations to ensure project alignment with local and emirate-level guidelines • Coordinate communication between internal teams, clients, consultants, and government authorities to facilitate smooth project progression • Support the development of project timelines, budgets, and resource allocation plans for pre-contract deliverables • Organize and track vendor and consultant submissions, ensuring timely delivery and quality standards • Conduct research on market conditions, comparable projects, and planning precedents to inform project strategy • Maintain organized filing systems and databases for project records, contracts, and correspondence • Assist in preparing presentations and proposals for client meetings and stakeholder reviews • Monitor project milestones and flag potential risks or delays to senior management • Support contract preparation activities by gathering required documentation and coordinating with legal and procurement teams Qualifications: • Proven experience in project coordination or project management support roles, preferably in urbanism, planning, or real estate development • Strong knowledge of urban planning principles, zoning regulations, and development processes • Proficiency with project management software and tools • Excellent organizational and time management skills with the ability to manage multiple tasks simultaneously • Strong analytical abilities to interpret planning documents, feasibility studies, and regulatory requirements Additional Information: At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment. About AECOM AECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan. AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle – from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com. What makes AECOM a great place to work You will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects - both in your local community and on a global scale - that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community - where you have the freedom to grow in a world of opportunity. As an Equal Opportunity Employer, we believe in your potential and are here to help you achieve it. All your information will be kept confidential according to EEO guidelines.

Raw Ventures Global Limited in Dubai seeks a senior data scientist to own end-to-end data science: decide what to measure, acquire data, build models, and defend conclusions. You work directly with traders, deal economists, finance and treasury, and the founders—no account manager in between. This role covers P&L, cost and financial transactions with a data-driven approach; a small team of junior data scientists may report to you. #J-18808-Ljbffr

Binance.US is seeking a Senior Product Data Scientist to own and drive high-impact ML and data science projects. This role involves working independently on large problems to deliver findings that influence product strategy. The ideal candidate will manage end-to-end ML projects, build models for user segmentation, and conduct analyses on user behavior to identify growth opportunities. Strong business acumen and communication skills are essential. Work is fully remote, and a competitive salary range of AED42,000 - AED48,000 per month is offered. #J-18808-Ljbffr

Join one of the world's leading multi-strategy investment platforms as a Quant Researcher focused on Machine Learning and AI. This role sits within a highly successful systematic investment team that is investing heavily in next-generation research capabilities and the application of cutting-edge machine learning techniques to financial markets.The team is seeking exceptional researchers who can bring expertise from frontier AI, deep learning, large-scale modelling, and modern machine learning research into a fast-paced environment where ideas are rapidly tested and deployed. This is an opportunity to work on some of the most challenging prediction problems in the world while having direct impact on investment performance.ResponsibilitiesDevelop and implement machine learning models to identify predictive signals across global marketsResearch and apply state-of-the-art deep learning techniques for alpha generationDesign and test neural network architectures for financial forecasting and pattern recognitionWork with large, complex, and alternative datasets to uncover unique sources of investment insightConduct rigorous research, experimentation, and statistical validation of trading signalsCollaborate closely with Portfolio Managers, Quant Researchers, and Data ScientistsBuild scalable research infrastructure and production-ready modelling pipelinesStay at the forefront of developments in AI, machine learning, and quantitative researchContribute to the development of systematic investment strategies using modern ML techniquesRequirementsPhD or Master's degree in Machine Learning, Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative disciplineStrong background in machine learning research and modellingExperience building and deploying deep learning models in real-world environmentsExpertise in areas such as neural networks, representation learning, transformers, foundation models, reinforcement learning, probabilistic modelling, or large-scale optimisationExcellent programming skills in Python and familiarity with modern ML frameworks such as PyTorch or TensorFlowStrong mathematical and statistical foundationsDemonstrated ability to conduct independent research and solve complex problemsExperience from leading AI labs, deep technology companies, research institutions, or high-performance machine learning environments is highly desirablePreferred BackgroundsWe are particularly interested in candidates from:Leading AI research labsFrontier foundation model teamsDeep learning and applied AI organisationsResearch-focused technology companiesQuantitative research groupsHigh-performance computing and data science environmentsAcademic researchers with strong publication records in machine learning or artificial intelligenceWhat You'll GetOpportunity to apply cutting-edge AI research to real-world investment decisionsAccess to significant computational, data, and research resourcesHighly collaborative environment alongside world-class investors and researchersCompetitive compensation package with substantial upside potentialDirect impact on investment outcomes and business growthRelocation support to Dubai where applicableExposure to one of the most intellectually challenging applications of machine learningThis position is ideal for researchers who are passionate about solving difficult prediction problems, building innovative machine learning systems, and applying frontier AI techniques in a highly competitive and rewarding environment.

Join one of the world's leading multi-strategy investment platforms as a Quant Researcher focused on Machine Learning and AI. This role sits within a highly successful systematic investment team that is investing heavily in next-generation research capabilities and the application of cutting-edge machine learning techniques to financial markets.The team is seeking exceptional researchers who can bring expertise from frontier AI, deep learning, large-scale modelling, and modern machine learning research into a fast-paced environment where ideas are rapidly tested and deployed. This is an opportunity to work on some of the most challenging prediction problems in the world while having direct impact on investment performance.ResponsibilitiesDevelop and implement machine learning models to identify predictive signals across global marketsResearch and apply state-of-the-art deep learning techniques for alpha generationDesign and test neural network architectures for financial forecasting and pattern recognitionWork with large, complex, and alternative datasets to uncover unique sources of investment insightConduct rigorous research, experimentation, and statistical validation of trading signalsCollaborate closely with Portfolio Managers, Quant Researchers, and Data ScientistsBuild scalable research infrastructure and production-ready modelling pipelinesStay at the forefront of developments in AI, machine learning, and quantitative researchContribute to the development of systematic investment strategies using modern ML techniquesRequirementsPhD or Master's degree in Machine Learning, Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative disciplineStrong background in machine learning research and modellingExperience building and deploying deep learning models in real-world environmentsExpertise in areas such as neural networks, representation learning, transformers, foundation models, reinforcement learning, probabilistic modelling, or large-scale optimisationExcellent programming skills in Python and familiarity with modern ML frameworks such as PyTorch or TensorFlowStrong mathematical and statistical foundationsDemonstrated ability to conduct independent research and solve complex problemsExperience from leading AI labs, deep technology companies, research institutions, or high-performance machine learning environments is highly desirablePreferred BackgroundsWe are particularly interested in candidates from:Leading AI research labsFrontier foundation model teamsDeep learning and applied AI organisationsResearch-focused technology companiesQuantitative research groupsHigh-performance computing and data science environmentsAcademic researchers with strong publication records in machine learning or artificial intelligenceWhat You'll GetOpportunity to apply cutting-edge AI research to real-world investment decisionsAccess to significant computational, data, and research resourcesHighly collaborative environment alongside world-class investors and researchersCompetitive compensation package with substantial upside potentialDirect impact on investment outcomes and business growthRelocation support to Dubai where applicableExposure to one of the most intellectually challenging applications of machine learningThis position is ideal for researchers who are passionate about solving difficult prediction problems, building innovative machine learning systems, and applying frontier AI techniques in a highly competitive and rewarding environment.

Tanqeeb is seeking a junior Data Analyst/Data Scientist to support a remote team across data-focused initiatives in financial services, retail, e-commerce, logistics, BI, AI, and ML. You will gain exposure to dashboards, KPIs, and predictive analytics in a dynamic, learning-focused environment. You will apply Python and SQL, perform exploratory data analysis, and help turn data into actionable insights for multiple business areas. Strong English and remote collaboration skills are essential. #J-18808-Ljbffr

Tanqeeb is seeking a junior Data Analyst/Data Scientist to support a remote team across data-focused initiatives in financial services, retail, e-commerce, logistics, BI, AI, and ML. You will gain exposure to dashboards, KPIs, and predictive analytics in a dynamic, learning-focused environment. You will apply Python and SQL, perform exploratory data analysis, and help turn data into actionable insights for multiple business areas. Strong English and remote collaboration skills are essential. #J-18808-Ljbffr

We are building foundation models that engage with reality directly and evolve beyond their training data. Models that are calibrated, unconstrained in their pursuit of truth, and built for decisions with real consequences. We are a focused team of researchers and engineers in Dubai. Come build the future of learning systems with us. About this Role The quality of our models depends directly on the quality of our infrastructure. We're looking for engineers to own the systems that source, process, and serve data at scale, and to build robust, efficient training pipelines. You will work at the intersection of data engineering and ML systems, ensuring our researchers can iterate fast on architectures and training objectives. You will work with a team of scientists and engineers, including: • Designing and scaling data ingestion, cleaning, and processing pipelines • Building and optimizing distributed training infrastructure • Developing tooling for dataset inspection, curation, and quality monitoring • Implementing efficient data loading and preprocessing for large-scale training workloads Minimum Qualifications: • Bachelor's degree or equivalent experience in Computer Science or a related field • Proficiency in Python and Rust • Experience with cloud infrastructure (AWS, GCP, or Azure) • Understanding of machine learning fundamentals and accelerator-based (FPGA-like) compute environments Preferred Qualifications: • Strong track record building and maintaining ML training infrastructure • Experience developing, testing, and maintaining large-scale distributed systems • Proficiency in data processing frameworks (Spark, Beam, Dask, or similar) and formats (Parquet, Arrow) • Experience with Kubernetes and containerized workflows Apply for this role Due to the volume of applications, we're only able to respond to candidates we'd like to follow up with. #J-18808-Ljbffr

Responsibilities • Set the technical direction for AI evaluation across a large portfolio of production systems • Design and operate the evaluation toolkit, including LLM-as-Judge frameworks, golden sets, and simulation harnesses • Provide hands‑on guidance to program teams on validation studies, equity audits, and monitoring plans • Translate ambiguous failure modes into concrete, measurable production monitoring metrics • Provide technical leadership, design review, and mentorship to a team of data analysts Requirements • 6+ years of experience in data science, statistics, ML engineering, or applied quantitative research • Strong foundation in experimental design and causal inference • Hands‑on experience designing and running model evaluation studies in production settings • Experience evaluating LLM, generative AI, or complex ML systems • Proficiency in Python and SQL and comfort with cloud‑native data environments • Experience with fairness and equity evaluation for ML systems • Ability to provide technical leadership without formal people‑management authority Preferred Qualifications • MS or PhD in a quantitative field • Experience in healthcare, clinical, or regulated industries Benefits • Healthcare benefits including vision and dental from day one • Domestic partner benefits About the Company Geisinger is a healthcare system serving more than 1 million people, comprising nine hospital campuses, a health plan, two research centers, and the Geisinger Commonwealth School of Medicine. #J-18808-Ljbffr