50 Algorithm Development jobs in the United Arab Emirates

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

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.

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

Job Title:

• AI Solutions Developer

Job Description:

• We are seeking a highly skilled professional to contribute to the development of AI-powered solutions. The ideal candidate will have expertise in Python programming, REST API development, cloud infrastructure, and AI model integration.
• The successful candidate will design, implement, and maintain end-to-end ML pipelines using Databricks notebooks, Delta Lake, and MLflow for experiment tracking, model versioning, and lifecycle management.
• Leverage Databricks AutoML for rapid prototyping and efficient model selection in early-stage experimentation.
• Implement ML model deployment workflows using Databricks Jobs and manage serving endpoints with low-latency requirements.
• Design, develop, and deploy ML and GenAI solutions using Python and LLM frameworks.

Requirements:

• A bachelor's degree in computer science or a related field is required; a master's degree is preferred but not mandatory.
• Minimum age 21.
• A minimum of 3-5 years of hands-on experience in Python software development with a focus on modular, scalable, and efficient coding for AI/LLM-based applications.

Skills/Knowledge:

• Hands-on experience with Databricks Machine Learning environment, including MLflow tracking, model registry, and production deployment workflows.
• Proficient in using Databricks Feature Store, AutoML, and real-time model inference using Databricks Serving or external endpoints.
• Familiarity with Databricks Unity Catalog and access control for secure ML asset management.

Responsibilities:

• Develop and deploy accessible endpoints, including web applications and REST APIs, while maintaining steadfast data privacy and adherence to security best practices and regulations.
• Embrace agile development practices, valuing constant iteration, improvement, and effective problem-solving in complex and ambiguous scenarios.
• Containerize applications using Docker and manage deployments on Azure.
• Implement DevOps best practices in the data lifecycle, including CI/CD for pipelines, automated testing, and version control.

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.

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City: Dubai

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose.Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

Our Sales teams help to deliver Reckitt's purpose by building shared success with our customers, making access to the highest quality hygiene, wellness, and nourishment possible in-stores and online.Within Sales, we're focused on achieving outperformance across all of our channels, operating in highly competitive categories. This focus results in a dynamic, fast paced environment where cross functional teams are encouraged to collaborate to achieve success.We have around 10,000 sales people across the world, within market roles and ranging in areas like Field Sales, Key Accounts, Trade Marketing and Category Development.

We are a data-first organization, placing analytics at the heart of decision-making to empower business leaders with the insights they need to drive growth and performance. In this role, you will be part of a dynamic, cross-functional team focused on transforming data into strategic advantage across our eCommerce ecosystem.
Your leadership will be instrumental in embedding data and AI into everyday business processes, enabling smarter decisions and delivering measurable impact. You will collaborate closely with business leaders, data scientists, and engineers to ensure seamless integration across the data value chain—from data collection and modeling to analysis, reporting, and experimentation.
We position consumer data and insights at the core of our ways of working, and this role will be pivotal in shaping how we use data to understand consumer behavior, optimize digital marketing investments, and drive commercial outcomes. You will lead a team of analysts and developers, using the full suite of AI and analytics capabilities to solve real business problems with a strong focus on ROI.
This is an exciting opportunity for someone who is inquisitive, entrepreneurial, and passionate about using data to unlock growth in a fast-moving, consumer-centric industry.

• Deliver complex insight use cases through compelling visualizations and narratives, translating analytical findings into actionable business outcomes.
• Analyze consumer sales patterns and digital marketing performance to optimize spend and recommend data-driven actions that improve ROI.
• Build and optimize machine learning models using regression and gradient boosting techniques (e.g., XGBoost, LightGBM), with a strong grasp of explainable ML to interpret model drivers and parameter weights.
• Design and deploy elasticity and price optimization models to inform pricing and promotional strategies across digital channels.
• Create innovative AI use cases that solve business problems and deliver measurable impact.
• Design, implement, and manage experimental frameworks (e.g., A/B testing) to validate new ideas and guide continuous improvement.
• Lead the development and enhancement of eCommerce dashboards, ensuring they remain the central hub for decision-making across teams.
• Manage and mentor a team of data analysts and BI developers, ensuring clear task ownership, domain expertise, and timely delivery of high-quality insights.
• Develop and execute a BI and digital transformation strategy, integrating internal and external data sources to build a comprehensive market model and scalable insights channels.
• Champion a culture of data-driven decision-making, empowering teams with the tools, insights, and mindset needed to drive performance.

• Bachelor’s or Master’s degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.
• Minimum 6+ 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.
• Hands-on experience in building and deploying elasticity and price optimization models.
• Exceptional collaboration and communication skills, capable of guiding, influencing, and persuading a wide range of stakeholders.
• A strong sense of ownership and accountability, coupled with a commitment to delivering high-quality results.
• Proficient in the full data analysis lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, and presentation.
• Advanced skills in Python, R, and SQL for data manipulation, modeling, and automation.
• Expertise in data modeling, dimensional design, and working with complex data structures.
• Excellent understanding of machine learning concepts and algorithms, with experience leading AI strategy execution and overseeing model development and deployment.
• Expert in Microsoft Suite, with strong hands-on experience in Power BI and advanced proficiency in Excel.
• Familiarity with cloud-based data platforms (e.g., Azure, AWS, GCP) and version control tools (e.g., Git).
• Experience with data visualization best practices and storytelling through dashboards and reports.

Ecommerce, Analysing sales and Ecommerce data.

With inclusion at the heart of everything we do, working alongside our four global Employee Resource Groups, we support our people at every step of their career journey, helping them to succeed in their own individual way.We invest in the wellbeing of our people through parental benefits, an Employee Assistance Program to promote mental health, and life insurance for all employees globally. We have a range of other benefits in line with the local market. Through our global share plans we offer the opportunity to save and share in Reckitt's potential future successes. For eligible roles, we also offer short-term incentives to recognise, appreciate and reward your work for delivering outstanding results. You will be rewarded in line with Reckitt's pay for performance philosophy.

We recognise that in real life, great people don't always 'tick all the boxes'. That's why we hire for potential as well as experience. Even if you don't meet every point on the job description, if this role and our company feels like a good fit for you, we still want to hear from you.All qualified applicants will receive consideration for employment without regard to age, disability or medical condition; colour, ethnicity, race, citizenship, and national origin; religion, faith; pregnancy, family status and caring responsibilities; sexual orientation; sex, gender identity, gender expression, and transgender identity; protected veteran status; size or any other basis protected by appropriate law.