Data Scientist jobs in United Arab Emirates

Kyndryl

• 1 - 7 Years
• Abu Dhabi - United Arab Emirates

Translate business problems into data science solutions, apply GenAI techniques, and productionize models using MLOps practices with strong statistical and programming skills.

Candidates will apply data science methods to business challenges, lead teams, and communicate complex concepts while utilizing Python and advanced analytics.

Analyze complex datasets, build machine learning models, and develop visualizations; requires proficiency in Python, SQL, and data visualization tools.

Contribute to AI agent design, develop benchmark datasets, and collaborate on system integration; requires knowledge of LLM frameworks and strong programming skills.

Lead data science initiatives, advocate for data-driven decision making, develop scalable models, and collaborate with teams to enhance data capabilities.

Collect and analyze data, develop predictive models, and create visualizations using Python and SQL; requires strong analytical skills and a degree in Data Science.

Conduct in-depth analysis and develop predictive models in aviation, requiring strong programming skills, machine learning expertise, and effective communication.

Seeking an experienced Data Scientist to develop AI solutions, optimize oil production, and implement machine learning algorithms in the Oil and Gas sector.

Identify business problems, design machine learning solutions, develop models, mentor junior data scientists, and deploy using MLOps frameworks.

Collaborate on impactful projects, improve algorithms, build data products, and require strong data science skills, strategic thinking, and excellent communication.

Seeking a candidate with a Master's or PhD in AI, proven experience in AI strategy, leadership, and enterprise-level AI platform development.

Lead design and implementation of predictive models, drive innovation in Generative AI, and mentor junior scientists while ensuring ethical AI practices.

The role involves developing marketing measurement products, improving forecasting models, and collaborating with teams using machine learning and statistical analysis.

Design machine learning solutions, build pipelines, and execute AI/ML projects using Spark, Delta Lake, and MLflow.

The role involves leading data science teams, designing model architectures, and implementing machine learning projects with a focus on AI and data pipelines.

The role involves applying data science methods, leading teams, and delivering innovative solutions while possessing strong project management and communication skills.

The role involves co-developing data science projects, providing user training, and requires skills in Python, SQL, and machine learning.

Design and optimize AI-driven solutions, integrate machine learning models, ensure data quality, and collaborate with teams to deliver innovative software solutions.

Seeking a Data Scientist skilled in Machine Learning Engineering, Generative AI, predictive modeling, and MLOps to drive AI solutions and collaboration.

Design and deliver analytical and machine learning models, utilizing Python and SQL, while collaborating on scalable solutions in cloud environments.

Drive innovation in advanced analytics and AI solutions, leading data science projects, predictive modeling, and stakeholder collaboration for business transformation.

Drive innovation in advanced analytics and AI solutions, leading data science projects, building data pipelines, and mentoring team members for business transformation.

Lead advanced data science projects, develop predictive models, and optimize decision-making using AI solutions while mentoring team members and ensuring data governance.

Drive innovation through advanced analytics and AI solutions, leading data science projects, predictive modeling, and stakeholder collaboration for impactful business strategies.

Responsible for implementing AI solutions, utilizing Machine Learning, and collaborating with stakeholders to optimize business workflows and enhance data integration.

Lead artificial intelligence projects, manage stakeholders, and deliver machine learning solutions while possessing strong data engineering and software development skills.

Drive AI transformation through data analysis, machine learning, and user behavior modeling to enhance product experiences and decision-making.

Collaborate on diverse datasets to develop predictive AI solutions, lead data science projects, and engage in science-policy dialogues for agricultural advancements.

Bridge technical work and business transformation using Agentic AI, develop intelligent agents, and mentor researchers with strong programming skills in Python.