188 Data Science Intern jobs in the United Arab Emirates

We are seeking a skilled data scientist to join our organization.

• Analyse and interpret complex data sets to derive actionable insights.
• Develop and implement machine learning models and algorithms.
• Design, test, and optimize data science workflows in Azure Databricks using PySpark and Jupyter Notebooks.
• Collaborate with data engineers to ensure data quality and accessibility.
• Communicate findings and recommendations to business and technology stakeholders.

Job Requirements:

• 5+ years of experience in a data science or machine learning role.
• Strong proficiency with Azure Databricks, Jupyter Notebooks, and PySpark.
• Experience with Python ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch).
• Strong SQL skills and understanding of distributed data processing.
• Exposure to Azure Machine Learning and Data Factory.
• Familiarity with MLOps and model deployment in CI/CD pipelines.
• Excellent verbal and written communication skills with the ability to communicate technical concepts to non-technical audiences.

Benefits:

This is an exciting opportunity for data scientists to work on challenging projects and grow their careers.

Job Title

We are seeking a seasoned Data Science Professional to lead our analytics initiatives. This role requires 8-10 years of experience in data science, with a focus on managing loyalty programs.

The ideal candidate will:

• Develop innovative analytics use cases and projects for clients.
• Contribute to the growth and development of our analytics practice.
• Provide expertise on flagship loyalty management projects with select customers.

Key Responsibilities:

• Client Engagement: Collaborate with clients to understand their business needs and propose suitable analytics solutions.
• Solution Development: Build solutions to meet client requirements.

• Growth of Analytics Practice: Contribute to the strategic growth and development of the analytics practice.
• Industry Trends: Stay updated with industry trends and advancements in data science and analytics.

• Loyalty Management Projects: Provide leadership and expertise on flagship loyalty management projects with select customers.
• Loyalty Program Design: Ensure the successful design, execution, and management of loyalty programs.

• Expertise: Proficiency in data analytics tools and platforms (Dataiku, SAS, Python, R, SQL, Tableau, Power BI).
• Data Modeling: Strong understanding of data modeling, statistical analysis, and machine learning techniques.

• Skills and Qualifications: Bachelor's degree in computer science, statistics, mathematics, computer engineering, data science, or AI. Postgraduate degree in computer science is an added advantage.

Job Title: Data Science Leader

We are seeking a seasoned data science leader to spearhead the development of advanced analytics solutions.

The ideal candidate will have extensive experience in designing and implementing predictive models, as well as leading cross-functional teams to drive business outcomes.

Key Responsibilities:

• Analyze complex data sets from various sources to identify patterns and trends that inform business decisions.
• Develop and deploy data science solutions that meet the needs of stakeholders across the organization.
• Collaborate with colleagues to translate business requirements into functional specifications.
• Manage and analyze large datasets using machine learning algorithms and statistical modeling techniques.
• Clean and preprocess data for analysis, ensuring quality and accuracy.
• Communicate results and insights to stakeholders through effective reporting and presentation.
• Rank ML algorithms by their success probability and identify differences in data distribution that affect model performance.

Requirements:

• 7+ years of experience in advanced analytics and predictive modeling in a telecom CVM analytics role.
• Ability to understand and translate customer business needs into data requirements and analytical techniques.
• Fluency in SQL and experience in data acquisition, validation, cleaning, and management.
• Covering the full analytics life cycle, from data preparation to advanced analytics, predictive modeling, AI, and dynamic dashboards.
• At least 4 years of experience in the telecom industry.
• Excellent communication skills and ability to instruct people with various technical backgrounds.
• Strong programming skills and excellent English oral and written skills.

We are seeking a highly skilled and experienced professional to lead our institutional data strategy, ensuring that data is accessible, interoperable, and reusable.

The successful candidate will be instrumental in designing and delivering our data-driven innovation strategy, bridging innovation and inclusion to support science decision-making and operational excellence.

Main Responsibilities:

• Develop and implement an institutional data strategy, spanning research operations governance, and knowledge systems.
• Oversee the design and governance of our federated data ecosystem, ensuring alignment with FAIR principles and enabling AI-readiness across centers platforms, and programs.
• Advance data interoperability and stewardship, supporting cross-program collaboration, science delivery, and institutional performance.
• Champion responsible data governance, ensuring data ethics, protection, equity, and inclusivity are embedded across our data lifecycle.
• Mobilize partnerships and funding to support our data transformation agenda, working with governments, philanthropic actors, multilaterals, and technology providers.

Requirements include an advanced degree in data science, information systems, statistics, computer science, or a related discipline, with a focus on data architecture governance, or applied analytics, as well as minimum 10 years of experience leading institutional or programmatic data strategies and platforms, ideally in research public-good or international development organizations.

We offer competitive compensation, favorable taxation arrangements, and comprehensive employee benefits, including extensive insurance coverage, a retirement plan, an education grant, and relocation support at the start of the appointment and upon conclusion of appointment for staff members and eligible dependents.

To apply, please submit your application, including your CV, cover letter, and portfolio of work, demonstrating your experience and skills in data science and leadership.

We are an equal opportunity employer, committed to diversity, equity, and inclusion. We welcome applications from qualified candidates worldwide.

The AI Consultant role involves providing a unique business perspective on how data science and analytics can transform and improve an organization. S/he must navigate the complex world of modern data science and analytics, identifying key business issues and developing strategies to address them.

• Assist in the development and implementation of Artificial Intelligence, Data Science, Big Data, and modern Information Management strategies.
• Help clients make informed decisions by analyzing structured and unstructured data sets, building predictive models, and advising on data mining best practices.
• Design, architect, and develop solutions that leverage big data to process disparate data sets, meeting or exceeding business requirements.
• Lead large-scale client engagements, fostering relationships with clients at appropriate levels while delivering high-quality services within expected timeframes and budget.
• Monitor progress, manage risk, and ensure stakeholders are kept informed about progress and expected outcomes.
• Provide directional guidance and recommendations around data technology, data models, and data storage formats.
• Manage client expectations regarding service delivery.
• Stay up-to-date with current business and industry trends relevant to the client's business.

Education: Bachelor's degree in Engineering or a related field.

Experience: At least 6 years of relevant experience.

This job requires strong analytical skills, strategic thinking, and effective communication. The ideal candidate will have experience working with data-driven decision-making tools and technologies.

We are seeking a highly skilled Quantitative Researcher to contribute to our team at Qube Research Technologies in Dubai, UAE.