53 R jobs in the United Arab Emirates

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.

Job opportunity for aspiring Data Science professionals in the Pharmaceutical industry. We are looking for individuals to join our team and gain hands-on experience within a dynamic environment.

Your Responsibilities

• Support the development and coding of advanced models and use cases in the Data team to deliver actionable insights to the business

Your Profile

• Fluent in English
• Expected graduation in 2026 or later
• Available to work 30-40 hours per week
• Educational background in Tech and Computer Science preferred
• Proficiency in Python programming; experience with Data Analytics tools is a plus
• Strong analytical mindset, organized, proactive, striving for excellence, self-driven with efficient reporting skills

We Offer

• Buddy and mentor support
• Learning opportunities

About This Role

• Employee Status: Intern/Coop (Fixed Term)
• Relocation: Not applicable
• VISA Sponsorship: Not specified
• Travel Requirements: Not specified
• Flexible Work Arrangements: Not applicable
• Shift: Not specified
• Valid Driving License: Not specified
• Hazardous Materials: Not specified

Job Description

Data Science Intern (2 positions available)

Duration: July 2025 - January 2026 (Dubai)

Our company will kick start your career journey within the Pharmaceutical industry. We will empower you to Invent for Life. You will be part of a diverse and inclusive multiskilled team of highly motivated individuals. We keep the patient at the very heart of all that we do and strive to find solutions and treatments for some of the world's most challenging healthcare needs.

Benefits for Interns

• Gain hands-on experience within the pharmaceutical industry
• Grow your potential and be part of a diverse team
• Work within a challenging and dynamic environment
• Develop strong analytical and problem-solving skills

Your Responsibilities

• Support the development and coding of advanced models and use cases in the Data team within the Commercial Operations department to deliver actionable insights to the business

Your Profile

• Fluent in English
• Expected graduation in 2026 or later
• Available to work 30-40 hours per week
• Educational background in Tech and Computer Science preferred
• Proficiency in Python programming; experience with Data Analytics tools like Dataiku is a plus
• Strong analytical mindset, organized, proactive, striving for excellence, self-driven with efficient reporting skills

What We Offer

• Monthly stipend
• Buddy and mentor support
• Learning opportunities

Current Employees: Apply HERE

Current Contingent Workers: Apply HERE

Important Notice for Search Firm Representatives

Merck & Co. Inc. and Merck Sharp & Dohme LLC do not accept unsolicited assistance from search firms. All CVs/resumes submitted without a valid written agreement will be deemed property of our company. No fee will be paid unless a formal agreement is in place. Please no phone calls or emails.

Additional Details

• Employee Status: Intern/Coop (Fixed Term)
• Relocation: Not applicable
• VISA Sponsorship: Not specified
• Travel Requirements: Not specified
• Flexible Work Arrangements: Not applicable
• Shift: Not specified
• Valid Driving License: Not specified
• Hazardous Materials: Not specified
• Job Posting End Date: 05/14/2025

*Applications should be submitted before 11:59 PM on the day prior to the end date listed above.

Required Experience: Intern

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Log In Only registered users can open employer contacts.

Join to apply for the Vice President - Data Science role at Emirates

Join to apply for the Vice President - Data Science role at Emirates

Job Purpose
At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers ‘Fly Better’. The Data Science department falls under Enterprise Data and Analytics department at Emirates is at the forefront of transforming business operations through data-driven insights and advanced analytics. The team specializes in applying machine learning, statistical modeling, and big data solutions to optimize various aspects of the airline’s operations, from revenue management to workforce optimization. By developing predictive and prescriptive models, the department empowers the business to make informed, strategic decisions, driving growth and improving operational efficiencies across the Emirates Group.

Job Purpose
At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers ‘Fly Better’. The Data Science department falls under Enterprise Data and Analytics department at Emirates is at the forefront of transforming business operations through data-driven insights and advanced analytics. The team specializes in applying machine learning, statistical modeling, and big data solutions to optimize various aspects of the airline’s operations, from revenue management to workforce optimization. By developing predictive and prescriptive models, the department empowers the business to make informed, strategic decisions, driving growth and improving operational efficiencies across the Emirates Group.
As Vice President of Data Science will lead the data science efforts of the Emirates Group; synthesize deep statistical expertise with communication and vision to lead and grow the Data Science team. Set the strategy for building Data Science capabilities and extracting monetary value from them, while interfacing directly with executive stakeholders and external analytics partners. The job holder will transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.
In This Role, You Will

• Define the vision and roadmap for Data Science to continuously improve the profitability of the Emirates Group.
• Drive & Develop standard practices and procedures for analysis to ensure accuracy, reproducibility and business value realisation. Provide visibility and interpretations of model performance.
• Lead the discovery process with key stakeholders to identify business requirements and expected outcomes. Prioritise data science projects against expected business value, complexity and time to market. Assess the validity of business strategy recommendations against trend data and steer senior leadership toward making informed, sound strategic decisions.
• Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
• Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.
• Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.
• Collaborate with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.
• Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
• Actively promote and facilitate the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.
• Lead, coach, and mentor a team of high performing data scientists, providing continuous feedback and facilitating professional development. Build and lead a team of data engineers and data scientists. Enable that team to flourish and maintain a high level of engagement and productivity.
  

• Ph.D. or M.Sc. in a quantitative field such as Mathematics, Computer/Data Science, Physics, Economics, or Statistics.
• Minimum of 12+ years of previous experience in Data Science, and Analytics or Statistical Modelling required, with a minimum of 5 years of experience in building and leading a team focused on quantitative analysis.
• More than 5 years work experience in at least 2 of the following disciplines:
• Machine learning and predictive modelling
• Data mining
• Mathematical programming and optimisation
• Information retrieval
• Natural language processing
• Control theory
• Game theory
  

• In depth knowledge of at least 3 of the following:
• Statistical analysis tools such as R, Weka etc.
• Programming languages such as Python (including libraries such as scikit, pandas etc), Java, C/C++, Scala etc.
• Hadoop-based data mining frameworks including Spark, Hive, etc.
• Big Data prototyping tools such as Knime, RapidMiner, Pentaho etc.
• Open-source graph databases such as Neo4j
• Mathematical programming solvers such as Cplex, Gurobi, Xpress etc.
• Numerical computation tools such as Matlab, Scilab etc.
  

• Seniority levelExecutive

• Employment typeFull-time

• Job functionEngineering and Information Technology
• IndustriesAirlines and Aviation

Referrals increase your chances of interviewing at Emirates by 2x

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

Qualifications:

• Bachelor's degree in a technical field such as physical sciences, engineering, or computer science, or
• Graduate degree in a similar field, or
• 3 years of experience in a technical role building products.

Location: Dubai (must reside in Dubai) and fluent in Arabic and English.

Job Description:

DataRobot delivers AI solutions that maximize impact and minimize business risk. Our platform integrates into core business processes, enabling teams to develop, deliver, and govern AI at scale. We empower practitioners to deliver predictive and generative AI and help leaders secure their AI assets. Organizations worldwide rely on DataRobot for AI solutions tailored to their business needs.

This is a Dubai-based role. You must live in the Dubai area to be eligible for hire. You must speak both Arabic and English fluently.

Applied Data Science Associate Program:

This program is designed to train and prepare qualified individuals to become Data Science Associates in approximately 6 months. It is suitable for self-motivated and curious individuals and offers the opportunity to learn from AI experts and apply knowledge in real-world AI applications. Many graduates have advanced to leadership roles within DataRobot.

Program Focus:

The program emphasizes Customer Facing Data Scientist Competencies, including:

• Data Science: Developing expertise in classification, regression, time series, anomaly detection, and data preprocessing using tools like Python and R.
• Product: Gaining proficiency in the DataRobot platform, including GUI and APIs.
• Management Consulting: Advising clients on how machine learning can create value, including identifying opportunities, quantifying impact, and planning project execution.

Who Should Apply:

• Bachelor's or graduate degree in a technical field, or
• 3 years of experience in a technical product development role.

At DataRobot, we value talent and dedication, offering competitive pay and benefits such as medical insurance, flexible time off, paid holidays, parental leave, and more.

Disclaimer: Naukrigulf.com is a platform connecting jobseekers and employers. Applicants should verify the legitimacy of employers independently. We do not endorse payment requests or sharing personal/bank information. For security concerns, contact

Bachelor of Technology/Engineering, Bachelor of Science(Computers)

Nationality: Any Nationality

Vacancy: 1 Vacancy

Job Description

Role Summary

As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization and efficiency, growth product initiatives (e.g., churn reduction), ecosystem plays (e.g., subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.

You will collaborate closely with business leaders, and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain from data collection and modeling to analysis, reporting, and experimentation ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.

What’s On Your Plate?

Responsibilities:

• Lead the strategic vision for harnessing data to refine and enhance logistics operations. This involves identifying key opportunities for process optimization, cost reduction, and service quality improvements, ensuring that data science initiatives are perfectly aligned with Talabat’s broader business goals.
• Champion the adoption of a data-driven culture within logistics operations, emphasizing the importance of basing decisions on rigorous data analysis and actionable insights. This includes promoting the use of advanced analytics and data science methodologies across all levels of logistics operations.
• Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams. Ensure that data science projects are integrated with and supportive of overall business strategies, fostering a cohesive approach to achieving Talabat’s objectives.
• Guide, mentor, and develop a highly skilled team of data scientists and data analysts. Set clear performance goals, facilitate professional development opportunities, and foster a supportive and innovative work environment that attracts top talent.
• Spearhead innovative data science projects, including the application of predictive analytics, machine learning models, and optimization algorithms. Focus on projects that have the potential to significantly impact logistics efficiency and customer satisfaction.
• Ensure the development and maintenance of a robust and scalable data infrastructure that supports advanced analytics and data science activities. This includes advocating for best practices in data governance, quality control, and compliance with relevant data protection regulations.
• Oversee the generation of insightful analytical reports and dashboards that track key performance indicators (KPIs) and provide strategic insights to both the logistics team and senior management. Ensure that these insights are actionable and contribute to informed decision-making processes.

What Did We Order?

Technical Expertise:

• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.
• Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.
• Demonstrated expertise in data modeling, dimensional design, and the ability to understand and manipulate complex data structures.
• Strong background in experiment design and statistical analysis, capable of conducting and analyzing A/B and multivariate tests.
• Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.
• Experience in data engineering and pipeline development, e.g., through tools like Airflow, is highly regarded.
• Familiarity with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is advantageous.

Qualifications:

• Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.
• A minimum of 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams or operations.
• Proven leadership ability in managing diverse, high-performing teams and in developing and executing strategic plans to meet business objectives.
• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.
• Demonstrated problem-solving skills with a growth mindset, able to tackle complex challenges and drive forward innovative solutions.
• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.

A software development company is looking for a talented, long-term Lead DS Researcher.

We’re looking for a Lead Data Science Researcher who thrives in research-heavy environments and enjoys exploring uncharted territory with the support of a strong technical team.

This is a unique opportunity to drive forward new ideas and applications, not just optimize existing ones.

About the company

Company Top Remote Talent

The company is a team of experts providing analytical services to healthcare clients. You will join an international team of first class professionals who are passionate to create products that improve quality of medical services.

Responsibilities

You will lead a compact team of two data scientists, guiding them on high-impact research initiatives and experimental projects. Your role will involve pushing the boundaries of applied machine learning — especially in the context of medical and clinical data — and turning complex problems into innovative solutions.

Requirements

**What we’re looking for:**Exceptional analytical and statistical skills-comfortable with uncertainty, inference, and experimentation;

Strong background in different areas of ML (traditional classification and regression techniques, recommender systems, text data, clustering, etc.);

Solid experience with deep learning frameworks like PyTorch or TensorFlow;

Excellent Python skills (beyond Jupyter Notebooks) - ability to build clean, testable, production-ready code;

Familiarity with medical or life science data is a strong plus;

Expertise in SQL, Pandas, Scikit-learn, and modern data workflows;

Comfortable working in Google Cloud Platform (GCP) environments.

**Bonus points for experience with:**State-of-the-art NLP models, Transformers, Agentic Approaches for mixed (temporal and text) data analysis and summarization;

Experience with pipeline orchestration tools like Airflow, Argo, etc.;

Proven Experience with Anomaly Detection and Forecasting with explainability for temporal and mixed data;

Intermediate+ English — ability to participate in written discussions with international teams and clients.

Working conditions

**Benefits:**Join a mission-driven team working at the intersection of data, medicine, and impact;

Work on meaningful challenges with long-term value for public health and healthcare quality;

Collaborate with top-tier experts in a culture that values curiosity, autonomy, and innovation;

Fully remote-friendly setup with flexibility and trust at the core.

Log In Only registered users can open employer contacts.