285 Data Science jobs in the United Arab Emirates

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

Join to apply for the Data Science Engineer role at ISA

Date: 24 May 2025

Location: Sri Lanka, AE

Company: Information Systems Associates - Sri Lanka (ISSL)

As a Data Science Engineer, you will leverage advanced analytics and engineering solutions to drive data-driven insights within our organization. This role combines data engineering, machine learning, and software development skills. You will collaborate with data scientists, engineers, and stakeholders to design, implement, and deploy data science solutions for complex business challenges.

• Data Exploration and Preprocessing: Conduct exploratory data analysis to understand data characteristics and identify patterns.
• Data Cleaning: Collaborate with data engineers to preprocess and clean data for machine learning applications.
• Feature Engineering: Develop feature engineering pipelines to extract relevant information from raw data and work with data scientists to enhance model performance.
• Model Development and Deployment: Implement machine learning models, including training, validation, and testing; collaborate with software developers to deploy models into production.
• Data Pipeline Development: Design and build scalable and reliable data pipelines for ETL processes.
• Programming and Software Development: Utilize Python or Java for data science and engineering tasks; collaborate with software engineering teams.
• Optimization and Performance Tuning: Optimize algorithms and models for performance and scalability; implement monitoring and improvement processes.
• Collaboration: Work closely with cross-functional teams to understand requirements and develop solutions; participate in agile processes.
• Documentation: Document code, data pipelines, and system architecture for reproducibility and knowledge sharing.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Strong programming skills in Python, Java, or similar.
• Understanding of machine learning concepts, algorithms, and statistical modeling.
• Experience with data processing frameworks (e.g., Apache Spark) and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Proficiency in designing and optimizing data pipelines.
• Familiarity with version control systems like Git.
• Excellent problem-solving, analytical, and communication skills.

• Seniority Level: Entry level
• Employment Type: Full-time
• Job Function: Information Technology
• Industries: IT Services and Consulting

A job opportunity exists for 6 positions in India.

The ideal candidate will have extensive experience and a strong academic background.

We are seeking highly skilled professionals for our client in Abu Dhabi:

• 2x Senior Machine Learning Engineers/Data Scientists
• 4x Software Developers

Data Science & Machine Learning Role

• Familiarity with Artificial Intelligence, Machine Learning, Reinforcement Learning is required.
• Experience with Large Language Models (LLMs) and fine-tuning LLMs is necessary.
• A Master's or PhD degree in AI, Data Science, Statistics, Computer Science is preferred.
• Proficiency in programming languages such as Python or R is essential.
• Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle, and other competitions are highly valued.
• Strong analytical and statistical modeling skills are required.
• Experience with machine learning frameworks (e.g., sci-kit-learn, TensorFlow, PyTorch) is necessary.
• A proven track record of applying data science to solve real-world problems is expected.
• Excellent communication and collaboration skills are crucial.

We require a resume/CV and relevant information to consider your application.

Please note that by submitting your profile, you agree to our Privacy and GDPR Policy.

At the forefront of innovation, we are seeking a visionary to spearhead our machine learning initiatives. With an unwavering commitment to advancing cutting-edge technologies, this role demands exceptional leadership skills and a proven track record in delivering impactful AI/ML-driven solutions.

Requirements:

• Master's or PhD in Computer Science, Machine Learning, Data Science, or related field with a strong theoretical foundation in machine learning, algorithms, and statistics.
• At least 7 years of experience in data science or ML engineering roles, with a minimum of 2 years in technical leadership positions guiding engineers or researchers.
• Proven ability to deliver AI/ML-driven features or products to market.

Key Skills:

• Proficiency in Python and common ML libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.
• Experience with data pipeline tools like Spark, Kafka, or similar, and deploying models in production environments using cloud services or on-device inference.
• Solid understanding of classical algorithms and deep learning techniques.

Preferred Experience:

• Health Tech or Related Industries: Experience in healthtech, medtech, or fitness analytics working on biometric algorithms, predictive health models, or digital therapeutics is desirable.
• Leadership & Communication: Experience presenting findings to executives or non-technical stakeholders, articulating the value of ML initiatives in terms of user impact or ROI is necessary.
• Full-Stack ML: Familiarity with the entire ML stack from signal processing and feature engineering to building customer-facing UI that displays ML results is preferred.
• Continuous Learning: Evidence of staying current through publications, ML competitions, patents, or open-source contributions is required.

Awarding Benefits:

• Candidates will have opportunities for growth and development within a collaborative environment.
• Exceptional ability to break down complex problems and invent original solutions is highly valued.

Additional Requirements:

• Experience working with time-series data or biosignals is a strong plus.
• Familiarity with NLP for conversational agents or Q&A systems is beneficial.

What We Offer:

• Passion for learning and applying new technologies is essential.
• Collaborative environment fostering creativity and innovation.