635 Lead Data Scientist jobs in the United Arab Emirates

Наша цель – на основе данных принимать обоснованные решения, которые будут способствовать росту бизнеса. В этом мы нуждаемся в кандидате с большим опытом работы в области Data Science и знаниями основных теоретических и технологических стеков.

Его задачами будет разработка новых решений (ML-моделей, оптимизационных моделей и т.д.), а также взаимодействие с другими командами, работающими над внедрением этих решений.

• Большой опыт работы в Data Science
• Готовность работать руками и не боязнь сырых данных
• Проработанная критическая мышленность и способность оценивать решение с точки зрения бизнеса
• Четкое доносение мыслей и доступная презентация результатов

• Опыт работы в фулфилменте или в маркетплейсах и классифайдах
• Занимались задачами комбинаторной оптимизации или задачами рекомендаций и поиска
• За спиной несколько ML-проектов полного цикла

К нам могут прилетать разнообразные задачи: от оптимизации процессов на складах до рекомендаций при поиске товаров и разработки чат-ботов. У нас стабильный бизнес с прибыльным квартальным результатом более 20 лет.

В качестве нашего нового Data Scientist, вы будете ответственны за анализ данных, выявление закономерностей и разработку стратегий их использования для увеличения выручки компании.

Если вы готовы к этому challenge, то перейдите дальше!

Direct message the job poster from SoftServe

SoftServe is a global digital solutions company, headquartered in Austin, Texas, and founded in 1993.

With 2,000+ active projects across the USA, Europe, and LATAM, we deliver meaningful outcomes through bold thinking and deep expertise. Our people create impactful solutions, drive innovation, and genuinely enjoy what they do.

The AI and Data Science Center of Excellence (CoE) is SoftServe's premier AI/ML hub, primarily based in Europe. With 160+ experts, including data scientists, research analysts, MLOps engineers, ML and LLM architects, we cover the full AI lifecycle, from problem framing to deployment.

In 2024, we delivered 150+ AI projects, including over 100 focused on Generative AI, combining scale with measurable impact.

We are a 2024 NVIDIA Service Delivery Partner and maintain strong collaborations with Google Cloud, Amazon, and Microsoft, ensuring our teams always work with cutting-edge tools and technologies.

We also lead Gen AI Lab - our internal innovation engine focused on applied research and cross-functional collaboration in Generative AI.

In 2025, a key area of innovation is Agentic AI, where we design and deploy autonomous, collaborative agent systems capable of addressing complex, real-world challenges at scale for our clients and internally.

IF YOU ARE

• A Data Scientist with 8+ years of experience, including at least 1+ years in healthcare
• Proven in delivering AI models with measurable business impact
• Have expertise in Machine Learning (NLP, Deep Learning, CV, Generative AI, etc.) and healthcare data sources
• Proficient in SQL, Python, Spark and ML libraries (TensorFlow, PyTorch, Spark MLlib, MLFlow, LangChain, LlamaIndex, etc.).
• Well-versed in MLOps and LLMOps architectures
• Have experience working with developer tools such as Azure DevOps, PyCharm/MS Visual Studio, Docker etc.
• Experienced with Databricks and cloud platforms (preferably Azure).

AND YOU WANT TO

• Collaborate with cross-functional teams to define research methodologies and AI product requirements.
• Ensure model scalability, performance, and integration into healthcare workflows.
• Oversee the data pipeline architecture, from data collection to model deployment.
• Lead data science delivery pod, ensuring best practices in model development and experimentation.
• Socialize findings and actionable insights with stakeholders, including healthcare professionals and decision-makers.

TOGETHER WE WILL

• Be part of a team that's shaping the future of AI and data science through innovation and shared growth.
• Advance the frontier of Agentic AI by shaping intelligent multi-agent ecosystems that drive autonomy, scalability, and measurable business value.
• Have access to world-class training, cutting-edge research, and collaborate with top industry partners.
• Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments
• Communicate with the world-leading companies from our logos portfolio
• Enjoy the opportunity to work with the latest modern tools and technologies on various projects
• Participate in international events and get certifications in cutting-edge technologies
• Have access to powerful educational and mentorship programs
• Revolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertise

All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status. SoftServe is an Equal Opportunity Employer.

• Mid-Senior level

• Full-time

• Information Technology

• IT Services and IT Consulting

Referrals increase your chances of interviewing at SoftServe by 2x

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We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

We are seeking a Lead Data Scientist and Analytics Expert to join our team. As a key member of our analytics group, you will lead in developing strategic data science engagements with clients and lines of business to form and execute the next development of pipeline opportunities.

You will be responsible for leading and being accountable for the delivery of core data science assets in client-facing settings. Additionally, you will manage junior staff on project and product teams, while also supporting our growth accelerator pipelines.

This is an exciting opportunity to work on high-profile projects, delivering results that drive business value. If you have a passion for problem-solving, collaborative environments, and are always seeking new ways to find solutions, then we encourage you to apply.

• Past experience from industry and professional services in delivering significant and valuable advanced analytics projects and/or assets.
• Ability to engage technical and senior stakeholders.
• Experience in managing and coaching a team of data scientists.
• Delivery of projects on time and within budget for high-profile clients.

This role offers a competitive compensation package, including a salary of 75K per annum. You will also have the opportunity to work in a dynamic and supportive environment, with access to cutting-edge technologies and tools.

This position is a remote opportunity, allowing you to work from anywhere. You will be responsible for documenting each phase of development and communicating with clients throughout the process. If you are a motivated and experienced data scientist looking for a new challenge, then we encourage you to apply.

We are seeking an experienced Data Analyst to join our team.

Responsibilities:

1. To develop, implement and maintain robust data analysis tools and algorithms using Python .
2. To conduct extensive data mining to identify new trading opportunities and trends in the FX and cryptocurrency markets.
3. To collaborate with quantitative researchers to refine trading models, ensuring optimal performance and accuracy.
4. To prepare detailed analytics reports and communicate findings to stakeholders and team members to support data-driven decision-making.
5. To apply expertise in quantitative finance to analyse complex data sets and extract meaningful insights that can directly impact trading strategies.

Requirements:

1. A proven background in data analysis with advanced knowledge of Python programming .
2. Experience in data mining and handling large, complex datasets.
3. Advanced knowledge in quantitative finance, particularly in FX or crypto trading.
4. Demonstrated ability to work closely and effectively with quantitative researchers and other team members.
5. Strong analytical skills with a keen attention to detail.
6. Excellent communication and presentation skills.

We are seeking an exceptional Quantitative Research Lead to spearhead our research strategy.

The successful candidate will be responsible for defining and executing our quant research roadmap, embedding next-generation technologies and AI at every stage.

• Develop and execute the firm's quantitative research strategy, ensuring seamless integration with trading and engineering teams.
• Lead a high-performing team of quants, fostering a culture of innovation, collaboration, and continuous learning.
• Stay up-to-date with industry trends and advancements in statistical and machine learning techniques.
• Design and implement cutting-edge research methodologies, utilizing novel statistical, ML, or hybrid techniques.
• Maintain a robust pipeline of alpha signals, backtested, ranked, and packaged for Portfolio Managers to review and select.
• Ensure reproducibility and high quality of code, research documentation, and deployment workflows.

The ideal candidate will have an advanced degree in a quantitative field, 8+ years of experience in quantitative research, and a proven track record of using GenAI tools to accelerate research workflows.

They will be proficient in Python, C++, Rust, or Java, and have experience with large-scale data management, high-performance computing, and cloud platforms.

This role will play a pivotal part in shaping the future of AI-driven trading by building and scaling GenAI-enhanced workflows.

Career Opportunities in AI Technology and Data Science.

We are looking for an experienced machine learning engineer to join our team. As a key member of our data science group, you will be responsible for developing and deploying machine learning models to drive business growth and improve customer experience.

Your primary focus will be on designing, implementing, and evaluating machine learning algorithms to inform business decisions and solve complex problems.

In this role, you will work closely with cross-functional teams to develop data-driven solutions that address operational challenges and improve overall efficiency.

You will also have the opportunity to collaborate with other engineers, researchers, and industry experts to stay up-to-date with the latest advancements in machine learning and AI technology.

• Develop and deploy machine learning models using Python and popular libraries like scikit-learn and TensorFlow.
• Analyze large datasets to extract insights and features that inform business decisions.
• Collaborate with cross-functional teams to address operational challenges through data-driven solutions.
• Design and implement experiments to evaluate model performance and drive improvements.

• Bachelor's or Master's degree in Computer Science, Data Science, or related field.
• Up to 3 years of experience working with machine learning, including internships, research projects, or Kaggle competitions.
• Strong proficiency in Python, particularly with libraries like pandas, NumPy, and scikit-learn.
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or XGBoost.

• Opportunity to work on cutting-edge AI projects and contribute to the development of innovative machine learning solutions.
• Collaborative and dynamic work environment with experienced professionals in the field.
• Professional development opportunities, including training, mentorship, and conference attendance.

We are a mission-driven organization committed to creating positive change in people's lives through the application of AI technologies.

We are seeking an expert in advanced predictive modeling and scalable data solutions. The ideal candidate will have a strong research mindset and be able to design and implement complex models using classical ML/Statistical model, deep learning models, and modern AI techniques.

We are seeking an experienced and visionary leader to lead our Data Intelligence and Advanced Analytics Center, specializing in Advanced Analytics, Artificial Intelligence (AI), and Data Science initiatives.

• Program and project management with a focus on Advanced Analytics, AI, or Data Science initiatives
• Managing and leading projects involving multiple government entities from inception through to successful go-live
• Demonstrated success in collaborating with stakeholders at various organizational levels
• Extensive experience in using agile methodologies for successful project implementations

• Bachelor's or Master's degree in Data Science, Data Analytics, Business Intelligence, Information Management, Computer Science, Business Administration, or a related field
• 10+ years of program and project management experience
• Strong knowledge of data analytics, machine learning, AI technologies, and strategic planning
• Familiarity with SQL, analytical and relational data models, and programming languages such as Python, R, or Java

• PMP, PRINCE2, Certified Scrum Master (CSM), or certifications in relevant technologies

• Opportunity to work on Advanced Analytics, AI, and Data Science initiatives
• Collaborative and dynamic work environment
• Professional growth and development opportunities

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.