54 Machine Learning Models jobs in Dubai

Quantitative Developer

We are seeking a highly skilled Quantitative Developer to join our team.

This role requires someone who is extremely hard-working and dedicated to delivering high-quality solutions in every aspect of their work.

You will be working on building robust trading systems, designing and implementing trade automation systems to enhance trading efficiency and effectiveness, and collaborating with traders, researchers, and other developers to understand requirements and deliver solutions.

Unlock your full potential as a Data Science leader and drive innovation in the digital transformation of our clients.

We are seeking an exceptional professional with expertise in AI/ML to join our team. As a Senior Manager, you will be responsible for providing technical leadership and strategic direction in Data Science/AI/ML.

Key Responsibilities:

• Provide expert guidance on ML algorithms and data pre-processing techniques.
• Collaborate with cross-functional teams to define project scope and apply ML algorithms.
• Lead the identification of new AI/ML opportunities by leveraging your technical expertise.
• Shape data solutions and properly scope engagements.
• Foster strong relationships with clients through effective project delivery.
• Engage client executives up to C-level to maximize growth.
• Provide mentorship and guidance to junior team members.
• Stay updated with the latest advancements in AI/ML.
• Support pre-sales activities by assessing Data opportunities.

Requirements:

• Bachelor's or Master's or PhD in Computer Science or a related field.
• Fluent English speaker with Arabic being a strong advantage.
• Experience and knowledge of the Oil & Gas/Energy sector.
• Strong experience in a senior or leadership role within Data Science/Data Analytics Technology Consulting.
• Proven track record in designing and implementing AI/ML solutions.
• Technical proficiency in programming languages such as Python, R, or Java.
• Solid understanding of ML algorithms and data pre-processing techniques.
• Demonstrated experience in engaging and influencing senior stakeholders.
• Strong communication skills and ability to explain complex concepts.
• Ideally experience in pre-sales or supporting sales teams.

Shape the future of data-driven business decisions, bridging strategy and analytics to unlock real impact.

A globally renowned consulting firm is seeking a Data Strategist (Manager level) to translate complex analytics into actionable business insights. Acting as the vital bridge between business and IT, you will design advanced data tools, craft predictive models, and lead the delivery of solutions that transform customer experiences, drive growth, and sharpen competitive advantage.

As a Data Strategist, you will guide stakeholders in defining data opportunities, develop and implement cutting-edge models, and ensure every initiative leads to measurable business outcomes, from boosting revenue and optimising marketing to reimagining customer engagement in a digital-first world.

Delivery Leadership

• Partner with stakeholders across business and IT to identify opportunities for leveraging data to deliver tangible business outcomes.

• Data mining, analysis and interpretation of complex datasets to optimise product development, marketing strategies, and operational efficiency.

• Assess and validate the effectiveness of new data sources, ensuring the accuracy and reliability of insights.

• Design, build, and deploy custom data models and algorithms tailored to unique business challenges.

• Apply predictive modelling to enhance customer experiences, improve ad targeting, and maximise revenue potential.

• Establish and manage A/B testing frameworks to evaluate model quality and business impact.

• Collaborate with cross-functional teams to integrate data models into products and monitor their performance post-launch.

• Develop scalable processes and tools to continuously monitor, analyse, and refine model performance.

Team & Talent Leadership

• Act as an analytics translator, ensuring business teams understand technical insights and IT teams are aligned with business priorities.

• Mentor junior analysts and data professionals, fostering growth and building organisational data fluency.

• Champion a culture of data-driven decision-making, experimentation, and continuous improvement.

• Build strong relationships with senior stakeholders to influence strategy and maximise adoption of data solutions.

• 3–5 years of hands-on experience in advanced analytics, data modelling, and predictive techniques within a business environment.

• Strong expertise in statistical and data mining methods (regression, decision trees, clustering, neural networks, etc.).

• Proficiency with relational databases (SQL) and hands-on experience handling large datasets.

• Familiarity with programming languages such as Python, C++, or Java is a strong plus.

• Proven ability to distil technical and analytical content into clear, business-ready recommendations.

• Intellectual curiosity and strong problem-solving skills, with the ability to break down complex issues and identify actionable solutions.

• Track record of leadership:inspiring, building relationships, and driving results.

• Skilled in collaborating across multidisciplinary teams and presenting confidently to senior stakeholders.

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• Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Mathematics, or similar) required; advanced degree preferred.

• Prior consulting experience is highly desirable.

We are seeking an experienced Senior Data Science Developer to join our team. The ideal candidate will have over 4 years of experience in development, with a strong command of Python syntax and conventions.

• Design and implement Python-based solutions to enhance AI-powered development tools.
• Develop scalable, modular software architectures, ensuring code quality, security, and stability.
• Collaborate with cross-functional teams to integrate AI solutions and ensure seamless platform performance.
• Maintain clean, readable, and efficient code, following best practices for testing and security.

• Over 4 years of experience in development, focused on data science.
• At least 2 years of experience with Python frameworks in data science or web development.
• Proven ability to work with modular architectures, emphasizing secure and testable code.
• Excellent command of Python syntax and conventions.
• Strong communication skills in English, both written and spoken.

A dynamic and cutting-edge work environment, where you can contribute to the creation of next-generation coding assistance agents that leverage AI to transform developer interactions with coding tools.

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

Faze 3 Consulting is working with a world leader in Professional Education who is continuing to grow rapidly in the GCC region. In supporting this growth, we are seeking to bring on board experiencedfreelance instructors, with an educational background and expertise in Data Science, Visualization, Machine Learning, NLP, Deep Learning and Data Analysis. Successful candidates will deliver short courses and longer data science bootcamps on these topics to major clients in Saudi Arabia, UAE, and other locations with the Gulf region- mainly in-person but also online in some cases. We are actively planning for our upcoming training programs, so we are interested in candidates able to put forward suitable CVs.

Experience required

With a Bachelor’s degree in a relevant subject, you will also ideally have a Master’s degree and/or PhD in Data Science or closely related topic.

Experience as a data science instructor and working experience in data science, data engineering, or artificial intelligence

Experience in the delivery of both short and longer duration courses

Experience in developing and delivering training courses using a variety of media, including learning management systems

Advanced IT skills including Microsoft Office applications

Excellent organizational skills

Excellent presentation skills – written and verbal

Fluency in English is mandatory, ideally also fluent in Arabic

Excellent interpersonal and communication skills

Ability to work under pressure and to specified deadlines

Team player – able to build strong working relationships with colleagues and other stakeholders.

Skills & Knowledge required

We are looking for people with an advanced-level knowledge of data science and artificial intelligence. This should include the following:

Exploratory Data Analysis using SQL and Python for advanced data manipulation and visualization

Mathematics fundamentals for Data Science - including Boolean logic, and Statistical distributions, inference, and correlation.

Linear Regression and Webscraping

Data Classification, Evaluation and real-world applications

Unsupervised Learning Theory

Natural Language Processing

Neural Networks, Embeddings and Convolutional Neural Networks

Deep Learning methods for modelling of sequential data

Databases and Big Data

Knowledge of Cloud computing

How to Apply If you love data science and if you believe your profile is a match and you are eager to collaborate with a dynamic team, with a company with an ambitious development agenda and to work with some of the most well-known and respected organizations in the Middle East, then we want to hear from you! Respond immediately to this advert to be considered for interview. We will try to reply to all enquiries but due to the expected volume of applicants we hope you understand that we may be unable to get back to you unless you have been selected to progress.

We are seeking visionaries to launch bold engineering and business initiatives.

• You'll gain hands-on experience in data-driven decision-making and contribute to global sales operations.
• Collaborate with senior team members, work on data collection, analysis, and reporting, and help optimize business processes using data science techniques.

• Assist in gathering and preparing data from various sources.
• Clean, transform, and analyze data to ensure quality and accuracy.
• Support data analysis, hypothesis testing, and exploratory data analysis (EDA).
• Help build and validate predictive models using basic machine learning techniques.
• Generate reports and create data visualizations to highlight business insights.
• Cross-functional collaboration to support data-driven solutions.
• Contribute to business performance tracking, including dashboards and KPIs.
• Enhance technical skills through training and mentorship opportunities.