46 Statistical Analysis jobs in Dubai

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

Job Title: Governance Strategist - Advanced Analytics & AI

We are seeking a highly skilled Research Analyst to join our team in Dubai.

This is an entry-level position with strong prospects for growth and increased responsibility.

• Conduct online media research and social media analysis in multiple languages.
• Collect, collate, and analyze data effectively.
• Prepare interview questions as assigned.
• Conduct interviews with subjects and subject matter experts.
• Maintain accurate records of interviews.
• Manage project-related tasking and emails.

• University level degree in Political Science, Finance, or related field (Masters level degree a plus).
• Professional self-starter capable of delivering well-researched documents under little direct supervision.
• Academic and/or work experience in the fields of political analysis, social analysis, investigations, or other related field of research.
• Project management skills and ability to work effectively independently or as part of a team.
• Strong attention to detail and good analytical skills.
• Excellent written communication skills and ability to produce professional level research and reports.
• Proficient in Microsoft Word, and adept at online research.
• Ability to manage multiple competing deadlines and prioritize workload effectively.
• Native level proficiency in Arabic, French, and English.

This role offers the opportunity to work on a variety of projects, develop new skills, and contribute to the success of our organization.

We offer a dynamic and supportive work environment, with opportunities for growth and professional development.

If you are a motivated and talented individual looking for a challenging and rewarding career, we encourage you to apply.

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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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

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

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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.

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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.