Explore exciting data science opportunities in 77 Data Science jobs in Dubai
Data Science Expert
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Quantitative Developer
Position Overview: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.
Data Science Leader
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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.
Data Science Lead
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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.
Your ImpactDelivery 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.
<Bachelor's degree in a quantitative discipline (Computer Science, Engineering, Statistics, Mathematics, or similar) required; advanced degree preferred.
Prior consulting experience is highly desirable.
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Data Science Intern
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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
#J-18808-LjbffrData Science Developer
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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.
About the Role:- 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.
Strategic Data Science Lead
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We are seeking a highly skilled Senior Data Scientist to join our team. As a key member of our data science group, you will be responsible for leading the development of strategic data science engagements with key clients and lines of business.
This is an excellent opportunity to leverage your expertise in advanced analytics and data governance to drive business growth and improve operational efficiency.
Data Science Governance Leader
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As a strategic governance expert , you will play a key role in driving the success of our organization by creating analytical solutions and a governance framework that ensures project success and compliance.
Our organization is seeking a talented individual with a strong background in data science techniques and project governance to support our strategic objectives. The ideal candidate will have experience in maintaining and enhancing project governance frameworks, enforcing governance policies, and managing teams.
Responsibilities:
- Maintain and enhance project governance frameworks to comply with regulatory requirements, optimize operational efficiency, and ensure project success.
- Enforce governance policies and integrate data/projects to improve efficiency.
- Manage a team including QA/QC Lead, Compliance & Risk Specialist, and Business Analyst, setting goals and evaluating performance.
- Establish and maintain model governance frameworks and oversee related awareness sessions.
- Monitor BAU tasks such as validations and ongoing model performance in compliance, risk, and financial areas.
- Act as liaison among stakeholders, senior management, and modeling teams.
- Translate team reports into insights and present to leadership.
- Stay updated on industry trends and identify opportunities for process and tool enhancements.
Qualifications:
- Bachelor's or master's degree in STEM, economics, finance, or related field.
- Professional certification in banking or project management preferred.
- At least 3 years of experience in applying data science in banking.
- Proven track record of developing technical solutions and managing teams.
- Knowledge of SQL, data preparation, statistics, and scientific methods.
- Proficiency in Python/R, SAS, or similar software.
- Experience with PowerBI or similar visualization tools.
- Understanding of project governance principles and financial/banking regulations.
- Excellent reasoning, communication, organizational, and documentation skills.
What We Offer:
- A dynamic work environment with opportunities for growth and development.
- A competitive salary and benefits package.
- The chance to work with a talented team of professionals who share your passion for governance and data science.
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Data Science Innovation Specialist
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We are seeking visionaries to launch bold engineering and business initiatives.
Job Description- 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.
- Currently pursuing a degree in data science, Data Engineering, Business Analytics, or related field.
- Basic knowledge of programming languages (Python preferred) and data analysis tools (e.g., SQL, Excel).
- Data visualization tools (Power BI, Tableau) is a plus.
- Completed coursework in AI, machine learning, deep learning, and natural language processing (NLP).
- Academic projects involving generative models or reinforcement learning.
- Mentorship from experienced professionals in business and data.
- Exposure to real-world data challenges and solutions.
- Opportunity to contribute to meaningful projects that impact business outcomes.
This role is categorized as hybrid. The successful candidate is expected to report to the office at minimum three times per week or other frequency dictated by the business and two times per week remote.
Sr Manager Data Science
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Principle Responsibilities & Key Results Area
- Identify innovation opportunities around data and datarelated processes that will help our clients implement factbased decisioning processes within their cards and payments program
- Work entails heavy focus on transaction data modelling and analytics for cards and payments products Work with a broader team that consists of Business Managers Consultants and Data Scientists from both Visa and client organizations to strategies cocreate deploy and reap the benefits of datadriven solutions.
- Work with regional and global Data Science teams to develop highquality analytic products and solutions that promote Visas growth in the region.
- Focus on creating scalable framework for Gen AI ML models
- Keep Visa at the forefront of technological advancement in Data Science by introducing cuttingedge tools and techniques for generating business insights
- Develop nextgeneration analytic methods where existing tools and techniques are inadequate to address business challenges
- Drive commercialization of existing scalable assets (models dashboards solutions).
- Collaborate with internal Technology partners and Data Engineering function to best leverage Visas internal technology platforms data and the broader Visa ecosystem to support our clients technical data needs
- Develop share and build global best practices and knowledge management within the team
- Socialize innovative ideas and approaches that are scalable and have market demand
- Champion internal requirements around Model Risk Management Visa Analytics Rules and Global Privacy standards around client delivery to ensure that Visas highly regarded market standing is maintained
- Work closely with Data Engineering DS teams and vendors communicate the business stakeholders needs and ensure the development team delivers within established acceptance criteria including expected quality and performance.
- Drive strong collaboration with VCA CEMEA Service Line Leads (Portfolio Management Digital Risk Merchant & Acquiring Commercial) understanding the market landscape and demand identification of potential opportunities for scalable solutions collecting business requirements and supporting in market enablement and GotoMarket.
- Work with Global Practice Leads to incorporate best practice source analytical or other services and leverage global consulting solutions.
- Deliver and manage a network of external Vendor or agency partners.
Maintain excellent relationship with vendor team atlarge supervising deliveries as needed.
Assist in selecting recruiting inducting and onboarding of vendors
Work with other teams and external consultants to develop new and improved tools and techniques for future Consulting activities.
- Manage the project budget and resources to perform all required duties.
- Liaise with VISA functional teams Finance Audit Legal Tax Sourcing to define and implement processes to optimize the daily engagement of vendors and the relationships with clients.
This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.
Qualifications :
Key Competencies
- Minimum of 10 years of expertise in applying Machine Learning solutions to business problems model development and production experience required
- Experience of using GenAIto solve business challenges
- Postgraduate degree (Masters or PhD) in a quantitative field such as Statistics Mathematics Data Science Operational Research Computer Science Informatics Economics or Engineering
- Experience working in one or more of the Card & Payments markets around the globe with specific responsibilities in payments retail banking or retail merchant industries
- Good understanding of Payments and the Banking industry including card verticals such as consumer credit consumer debit prepaid small business commercial and cobranded product
- Expert knowledge of data market intelligence business intelligence and AIdriven tools and technologies with demonstrated ability to incorporate new techniques to solve business problems
- Proven track record in commercializing analytical solutions.
- Experience planning organizing and managing multiple large projects with diverse crossfunctional teams including resource planning and delivery implementation Experience in presenting ideas and analysis to stakeholders whilst tailoring datadriven results to various audience levels
- Proven ability to deliver results within committed scope timeline and budget
- Very strong people/project management skills and experience
Technical Expertise
- Expertise in distributed computing environments / big data platforms (Hadoop Elasticsearch etc. as well as common database systems and value stores (SQL Hive HBase etc.
- Familiarity with both common computing environments (e.g. Linux Shell Scripting) and commonly used IDEs (Jupyter Notebooks).
- Strong programming ability in different programming languages such as Python R Scala and SQL
- Experience in drafting solution architecture frameworks that rely on APIs and microservices
- Proficient in some or all of the following techniques: Linear & Logistic Regression Decision Trees Random Forests KNearest Neighbors Markov Chain Monte Carlo Gibbs Sampling Evolutionary Algorithms (e.g. Genetic Algorithms Genetic Programming) Support Vector Machines Neural Networks etc.
- Expert knowledge of advanced data mining and statistical modeling techniques including Predictive modeling (e.g. binomial and multinomial regression ANOVA) Classification techniques (e.g. Clustering Principal Component Analysis factor analysis) Decision Tree techniques (e.g. CART CHAID)
Leadership Competencies
- Demonstrates integrity maturity and a constructive approach to business challenges
- Serves as a role model for the organization by implementing core Visa Values
- Strives for excellence and extraordinary results
- Uses sound insights and judgments to make informed decisions in line with business strategy and needs
- Able to allocate tasks and resources across multiple lines of businesses and geographies
- Able to influence senior management both within and outside Data Science
- Successfully persuading internal stakeholders to commit to bestinclass solutions when required
- Leverages change management leadership as required
- Fluency in English is mandatory.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime
#J-18808-LjbffrLead Data Science Researcher
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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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