What Jobs are available for Skilled Data Analysts in Abu Dhabi?

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About the business area

GBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.

We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.

In this role, your key responsibilities include:

• Develop and Implement advanced data science solutions to support the organization’s AI strategy
• Lead the design and execution of analytical models, ensuring data integrity, scalability, and relevance to business objectives
• Collaborate with cross-functional teams to translate complex data into actionable insights, and contribute to the structuring of AI-related roles and capabilities through evidence-based workforce planning and job design
• Drive the design and deployment of advanced Artificial Intelligence (AI)/Machine Learning (ML) models to optimize core banking operations, enhance digital customer journeys, and support strategic decision-making
• Build and maintain robust machine learning pipelines using Azure AI Foundry or AWS SageMaker, ensuring scalability, automation, and seamless integration with cloud-native services
• Develop and fine-tune generative AI models, including RAG and agentic workflows, leveraging cutting-edge techniques like Low-Rank Adaptation (LoRA), Parameter-efficient fine-tuning (PEFT), and multimodal architectures
• Design and execute complex experimental frameworks, including A/B testing, to derive actionable insights and validate model performance with statistical inference
• Work closely with software and data engineers to implement version-controlled, containerized (Docker) solutions, and Continuous Integration (CI)/Continuous Deployment (CD) pipelines for efficient model deployment
• Define and enforce documentation standards, coding practices, and reproducibility protocols to ensure consistency and quality across all data science projects
• Monitor and evaluate model performance using Machine Learning Operations (MLOps) and Large Language Models (LLMs) specific metrics (e.g., Bilingual Evaluation Understudy (BLEU), ROUGE), ensuring transparency, fairness, and continuous improvement of Artificial Intelligence (AI) systems
• Strong knowledge of banking operations and terminologies
• Analyses complex banking products and services for facilitating decision-making
• Adhere to all relevant organisational and departmental policies, processes, standard operating procedures and instructions so that work is carried out to the required standard and in a consistent manner while delivering the required standard of service to customers and stakeholders
• Manage self in line with the Bank’s people management policies, procedures, processes and practices to ensure adherence and to maximise own contribution to business performance
• Demonstrate Our Promise and apply the ADCB Service Standards to deliver the Bank’s required levels of service in all internal and external customer interactions

The ideal candidate should have the following experience:

• Minimum 5 years of experience in data science, with proven expertise in AI/ML, statistical modelling, and cloud-based deployments
• Strong background in banking processes, generative AI, and Machine Learning Operations (MLOps)
• Experience leading cross-functional teams and delivering scalable, production-grade solutions in a regulated, data-driven environment
• Bachelor’s degree in quantitative field such as Computer Science, Artificial Intelligence, Software Engineering, Statistics, Mathematics or related field required
• Master’s degree or equivalent in AI/ML is preferred
• N/A
• Advanced Python for AI/ML development and data manipulation
• Strong statistical expertise and experimental design (A/B testing, inference)
• Experience with ML models (transformers, RNNs), GenAI, and agentic workflows
• Skilled in fine-tuning LLMs using LoRA, PEFT, and evaluating with BLEU/ROUGE
• Proficient in building ML pipelines on Azure AI Foundry or AWS SageMaker
• Familiar with cloud services (Azure/AWS), serverless deployments, and MLOps tools
• Strong data visualization skills (Tableau, Power BI) with UX-focused design
• Effective collaboration with engineering teams and cross-functional stakeholders
• Knowledge of CI/CD, containerization, and documentation standards
• Active learner with awareness of emerging AI trends and technologies

What we offer:

Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).

Flexible and Remote Working Options : We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.

Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.

We are looking for an experienced freelance trainer to conduct a 3-day workshop on Big Data Fundamentals for a professional audience in Abu Dhabi. The trainer should be able to deliver engaging, practical, and interactive sessions that combine theory with real-world applications.

This workshop aims to introduce participants to the core principles of big data, its tools, technologies, and how data-driven insights can enhance decision-making and business strategy.

Indicative Learning Areas:

• Understanding big data concepts and architecture
• Overview of data processing frameworks (e.g., Hadoop, Spark)
• Data storage, management, and analytics fundamentals
• Practical applications and case studies in business and technology

The final course content and detailed outline are expected to be provided by the trainer.

• Qualification in Data Science, Computer Science, IT, or related field
• Minimum 5 years of professional or training experience in data analytics or big data technologies
• Strong communication and facilitation skills
• Must be available to deliver the training in person at Yas Island, Abu Dhabi

Interested trainers are invited to apply with the following:

• Updated CV or professional profile
• Relevant training experience
• Proposed hourly rate (inclusive of course content preparation, outline development, and transport costs)

Overview

We want to crack the hardest challenges in systematic investing.

ADIA’s Quantitative Research & Development team works in a multidisciplinary environment, where experts with deep specializations pioneer new ways to think about investing, and put these ideas into practice.

Our team leverages data to enable the research, development and implementation of quantitative investment strategies by providing comprehensive, clean, and actionable data as well as building robust, efficient, and scalable technology.

• Data Ingestion & Cleansing : Develop pipelines to clean, tag and integrate new data sources.
• Data Analysis : Generate descriptive statistics, uncover valuable patterns and present potential applications of datasets.
• Data Infrastructure : Maintain automated systems for data collection, cleaning and retrieval.
• Education : Ph.D. or Masters in a quantitative discipline or equivalent experience.
• Experience : 3+ years in data science
• Technical Skills : Strong proficiency in SQL and Python, as well as proficiency in at least one other language. Cloud experience and familiarity with financial data sets are a plus.
• Analytical Skills : Experience with applying analytical and statistical techniques to large real-world datasets.
• Problem Solving & Communication : Ability to solve complex problems and communicate findings to technical and non-technical stakeholders.
• Passion for Data : Curiosity and desire to learn new methods and technologies.

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The Department of Statistics and Data Science invites applications for an Assistant Professor tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence(AI).

Faculty members at MBZUAI have the unique opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our rapidly growing institution is positioned as a global leader in AI, providing a vibrant academic environment and outstanding research support.

The Department of Statistics and Data Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference techniques. Our current research includes areas such as statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology. Faculty members will have ample opportunities to collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry
• Exceptional Benefits:
  - Comprehensive health & life insurance
  - Relocation support for international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2026. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

To apply for this position, please submit the following:

1. Cover letter
2. Curriculum Vitae
3. Statement of research vision and interests
4. Statement of teaching philosophy and experience
5. List of publications
6. Up to three representative publications
7. Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio)

Job details

Title: Statistics and Data Science - Assistant Professor Tenure Track

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is at the forefront of AI research, education, and innovation. Ranked in the top 10 in AI research and education, MBZUAI invites applications for a faculty position.

Location : Abu Dhabi, United Arab Emirates

Open Date : Aug 31, 2025

Deadline : Jul 31, 2026 at 11:59 PM Eastern Time

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multicultural environment. The Department of Statistics and Data Science focuses on the rigorous statistical and probabilistic foundations of machine learning and data science, with emphasis on computational methods for large-scale data and scalable inference techniques. Research areas include statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, and fairness and interpretability in AI. We encourage interdisciplinary research, integrating statistical innovation with decision sciences, healthcare, climate science, and computational biology. Faculty collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: Resources and academic freedom to foster groundbreaking AI advancements
• Exceptional Benefits:
  • Comprehensive health & life insurance
  • Relocation support for international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi: A safe, culturally rich city with modern amenities
• Industry & Government Collaborations: Opportunity to work with top AI researchers, leading tech firms, and policymakers

The Department invites applications for an Assistant Professor tenure-track faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence (AI).

Faculty members will have opportunities to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. The department focuses on rigorous statistical and probabilistic foundations of ML and data science, emphasizing computational methods for large-scale data and scalable inference. Current research areas include statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI. Interdisciplinary research across decision sciences, healthcare, climate science, and computational biology is encouraged, including collaboration with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges.

This position requires a PhD in Statistics, Computer Science or a closely related field or expected completion by Fall 2026. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

To apply for this position, please submit the following:

• Statement of research vision and interests
• Statement of teaching philosophy and experience
• List of publications
• Up to three representative publications
• Name and contact details for three referees (reference letters from applicants will not be accepted; each referee will be contacted to upload their reference letter via Interfolio)

MBZUAI is an equal opportunity employer and is committed to fostering a diverse academic community. The university actively recruits faculty from around the world to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can submit all application materials, including confidential letters of recommendation, free of charge.

Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination based on protected status and require affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, or national origin, as well as protected veteran status or disability.

Job details

Title: Statistics and Data Science - Associate/Full Professor Tenured

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is at the forefront of AI research, education, and innovation. Ranked in the top 10 in AI Re.

MBZUAI is on a mission to become a global leader in artificial intelligence.

Location: Abu Dhabi, United Arab Emirates

Open Date: Aug 01, 2025

Deadline: Jul 31, 2026 at 11:59 PM Eastern Time

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) invites applications for Associate / Full Professors for a faculty position in Statistics and Data Science. We seek researchers with strong potential in both theoretical and applied statistics. The successful candidate will contribute to high-quality instruction, mentor graduate students, shape curriculum development, and engage in interdisciplinary research at the intersection of statistics, data science, and artificial intelligence (AI).

Faculty members at MBZUAI have the opportunity to collaborate with top AI researchers, work on cutting-edge projects, and contribute to MBZUAI’s mission of AI excellence. Our institution emphasizes computational methods for large-scale data and scalable inference techniques, with current research including statistical learning theory, high-dimensional statistics, causal inference, uncertainty quantification, fairness and interpretability in AI, and interdisciplinary collaboration with healthcare, climate science, and computational biology.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: Resources and academic freedom to foster AI advancements
• Benefits:
  • Comprehensive health & life insurance
  • Relocation support for international faculty
• State-of-the-Art Research Facilities
• Live in Abu Dhabi: World’s safest city, year-round sunshine, culture, and modern amenities
• Industry & Government Collaborations

• Contribute to high-quality instruction at the undergraduate, graduate, and PhD levels
• Mentor graduate students and supervise research activities
• Shape curriculum development within the Department of Statistics and Data Science
• Engage in interdisciplinary research at the intersection of statistics, data science, and AI
• Collaborate with industry partners, government agencies, and research institutions to develop AI-driven solutions for real-world challenges

This position requires a PhD in Statistics, Computer Science or a closely related field. Applicants from all areas of statistics are encouraged to apply, particularly those working at the intersection of statistics and machine learning. The ideal candidate will be an innovative scholar, advancing both statistical theory and its applications in AI-driven contexts.

To apply for this position, please submit the following:

• Statement of research vision and interests
• Statement of teaching philosophy and experience
• List of publications
• Up to three representative publications
• Name and contact details for three referees (referee letters uploaded via Interfolio; letters are collected at a later stage of the process)

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Mohamed bin Zayed University of Artificial Intelligence shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination based on protected veterans status or disability, and prohibit discrimination based on race, color, religion, sex, or national origin. Covered prime contractors and subcontractors are to take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

Overview

PANGAIA exists to design a future where people and planet reconnect, through every product we create, the stories we tell, and every action we take. We fuse innovation, design, and purpose to responsibly deliver products and experiences that nurture well-being while ensuring minimal collective environmental footprint.

We are a global collective: one heart, many creative minds. From designers to scientists, from storytellers to retailers, we unite to build a platform that brings meaningful innovation to life. We don’t just sell products — we redefine their role: shifting from symbols of consumption to instruments for wellness, consciousness, and lasting positive impact.

Our vision is simple: empower people to live more intelligently, beautifully, and responsibly through purposeful design, cutting-edge innovation, uncompromising quality, and a deeply connected community.

We are seeking a technically skilled and detail-oriented Data & Business Analyst to be a cornerstone in building our data-driven decision-making capability.

PANGAIA is a D2C brand with most sales via its webshop, and we are now planning a significant expansion of our retail activities. Building a strong analytics backbone to support both online and offline businesses is pivotal to provide leadership with a robust data basis for strategic and operational decisions.

In the initial phase, the focus will be on data consistency across systems and departments, implementing a master data concept, and setting up a scalable analytics infrastructure and logic. Once this foundation is in place, the role will evolve into delivering advanced analytics, predictive models, and actionable insights across both e-commerce and retail operations.

• Support the rollout of a master data management concept across all systems (ERP, PLM, CRM, POS, e-commerce).
• Ensure data accuracy, consistency, and availability across D2C and retail channels.
• Design data pipelines that integrate transactional, operational, and customer data.
• Establish governance processes for data ownership, taxonomy, and hierarchy.

• Build dashboards and reports that cover both online and retail performance.
• Provide KPIs and insights for e-commerce (traffic, conversion, AOV, CAC, LTV, returns) and retail (footfall, basket size, sales per sqm, conversion rates).
• Support omni-channel analytics such as customer journey tracking across online and retail touch points.
• Monitor product performance across SKUs, categories, and geographies.

• In coordination with the commercial team on developing demand forecasting models combining internal sales data with external data (seasonality, macroeconomic trends, weather, events).
• In coordination with commercial teams, build predictive analytics for inventory planning, replenishment, and allocation across e-commerce and retail.
• Use AI/ML to create customer segmentation models, churn predictions, and personalized recommendations.
• Continuously refine and validate models to enhance decision-making quality.

• Analyse the full value chain: sourcing, logistics, fulfillment, and returns.
• Provide insights into process efficiency, lead times, and cost optimisation.
• Enable leadership to make informed decisions on pricing, promotions, and assortment strategy.
• Support finance with margin and profitability analytics across sales channels.

• Create analytics frameworks for customer service performance, NPS, and satisfaction tracking.
• Monitor omni-channel customer engagement (CRM campaigns, loyalty programs, retail events).
• Support marketing funnel optimization with data-backed insights.

• Strong command of SQL and experience with data warehouses (Snowflake, Big Query, Azure).
• Programming skills in Python or R for analysis, modelling, and machine learning.
• Experience with ETL/ELT pipelines and data integration tools (dbt, Fivetran, Airflow, Celigo).
• Proficiency with visualisation tools (Power BI, Tableau, Looker).
• Familiarity with cloud environments (Azure, AWS, GCP).
• Understanding of APIs and integrations across ERP, CRM, PLM, POS, and e-commerce platforms.

• Expertise in forecasting, predictive modelling, and machine learning.
• Strong statistical background with ability to apply regression, clustering, time-series analysis, A/B testing.
• Deep knowledge of retail and e-commerce KPIs.
• Ability to create omni-channel analytics frameworks for unified reporting.

• Experience combining online and offline data sets for holistic customer and business insights.
• Familiarity with POS data structures and retail analytics metrics (traffic counters, sales density).
• Knowledge of inventory optimization across multiple distribution channels.
• Understanding of customer behavior analytics both online (clickstream, funnels) and in-store (footfall, dwell time).
• Awareness of sustainability metrics relevant for premium fashion (returns rates, circularity, DPP readiness).

• 3–6 years of experience in data/business analytics, ideally in fashion, retail, or consumer goods.
• Hands-on problem solver with strong analytical rigor.
• Comfortable working in a fast-paced transformation environment.
• Strong communication skills — able to translate technical findings into business impact.
• Curious, proactive, and passionate about creating new capabilities.

At PANGAIA, you will play a pivotal role in building a data-driven culture and a globally recognized responsible fashion brand at scale. You’ll have the chance to work at the intersection of innovation, design, and purpose, creating impact beyond commerce while delivering meaningful returns to shareholders.

By supporting both our e-commerce core and our growing retail footprint, your work will directly shape how we scale international, grow sales and how we optimise operations.

If you are ready to shape the future of responsible fashion and lead one of our most important growth engines, we would love to hear from you.

Overview

PANGAIA exists to design a future where people and planet reconnect, through every product we create, the stories we tell, and every action we take. We fuse innovation, design, and purpose to responsibly deliver products and experiences that nurture well-being while ensuring minimal collective environmental footprint.

We are a global collective: one heart, many creative minds. From designers to scientists, from storytellers to retailers, we unite to build a platform that brings meaningful innovation to life. We don’t just sell products — we redefine their role: shifting from symbols of consumption to instruments for wellness, consciousness, and lasting positive impact.

Our vision is simple: empower people to live more intelligently, beautifully, and responsibly through purposeful design, cutting-edge innovation, uncompromising quality, and a deeply connected community.

We are seeking a technically skilled and detail-oriented Data & Business Analyst to be a cornerstone in building our data-driven decision-making capability.

PANGAIA is a D2C brand with most sales via its webshop, and we are now planning a significant expansion of our retail activities. Building a strong analytics backbone to support both online and offline businesses is pivotal to provide leadership with a robust data basis for strategic and operational decisions.

In the initial phase, the focus will be on data consistency across systems and departments, implementing a master data concept, and setting up a scalable analytics infrastructure and logic. Once this foundation is in place, the role will evolve into delivering advanced analytics, predictive models, and actionable insights across both e-commerce and retail operations.

• Support the rollout of a master data management concept across all systems (ERP, PLM, CRM, POS, e-commerce).
• Ensure data accuracy, consistency, and availability across D2C and retail channels.
• Design data pipelines that integrate transactional, operational, and customer data.
• Establish governance processes for data ownership, taxonomy, and hierarchy.

• Build dashboards and reports that cover both online and retail performance.
• Provide KPIs and insights for e-commerce (traffic, conversion, AOV, CAC, LTV, returns) and retail (footfall, basket size, sales per sqm, conversion rates).
• Support omni-channel analytics such as customer journey tracking across online and retail touch points.
• Monitor product performance across SKUs, categories, and geographies.

• In coordination with the commercial team on developing demand forecasting models combining internal sales data with external data (seasonality, macroeconomic trends, weather, events).
• In coordination with commercial teams, build predictive analytics for inventory planning, replenishment, and allocation across e-commerce and retail.
• Use AI/ML to create customer segmentation models, churn predictions, and personalized recommendations.
• Continuously refine and validate models to enhance decision-making quality.

• Analyse the full value chain: sourcing, logistics, fulfillment, and returns.
• Provide insights into process efficiency, lead times, and cost optimisation.
• Enable leadership to make informed decisions on pricing, promotions, and assortment strategy.
• Support finance with margin and profitability analytics across sales channels.

• Create analytics frameworks for customer service performance, NPS, and satisfaction tracking.
• Monitor omni-channel customer engagement (CRM campaigns, loyalty programs, retail events).
• Support marketing funnel optimization with data-backed insights.

• Strong command of SQL and experience with data warehouses (Snowflake, Big Query, Azure).
• Programming skills in Python or R for analysis, modelling, and machine learning.
• Experience with ETL/ELT pipelines and data integration tools (dbt, Fivetran, Airflow, Celigo).
• Proficiency with visualisation tools (Power BI, Tableau, Looker).
• Familiarity with cloud environments (Azure, AWS, GCP).
• Understanding of APIs and integrations across ERP, CRM, PLM, POS, and e-commerce platforms.

• Expertise in forecasting, predictive modelling, and machine learning.
• Strong statistical background with ability to apply regression, clustering, time-series analysis, A/B testing.
• Deep knowledge of retail and e-commerce KPIs.
• Ability to create omni-channel analytics frameworks for unified reporting.

• Experience combining online and offline data sets for holistic customer and business insights.
• Familiarity with POS data structures and retail analytics metrics (traffic counters, sales density).
• Knowledge of inventory optimization across multiple distribution channels.
• Understanding of customer behavior analytics both online (clickstream, funnels) and in-store (footfall, dwell time).
• Awareness of sustainability metrics relevant for premium fashion (returns rates, circularity, DPP readiness).

• 3–6 years of experience in data/business analytics, ideally in fashion, retail, or consumer goods.
• Hands-on problem solver with strong analytical rigor.
• Comfortable working in a fast-paced transformation environment.
• Strong communication skills — able to translate technical findings into business impact.
• Curious, proactive, and passionate about creating new capabilities.

At PANGAIA, you will play a pivotal role in building a data-driven culture and a globally recognized responsible fashion brand at scale. You’ll have the chance to work at the intersection of innovation, design, and purpose, creating impact beyond commerce while delivering meaningful returns to shareholders.

By supporting both our e-commerce core and our growing retail footprint, your work will directly shape how we scale international, grow sales and how we optimise operations.

If you are ready to shape the future of responsible fashion and lead one of our most important growth engines, we would love to hear from you.

Abu Dhabi, United Arab Emirates | Posted on 06/25/2025

We are seeking a motivated and technically sound AI & ML Analyst to support the development and deployment of machine learning models and generative AI solutions. In this role, you will work closely with senior team members to help solve real-world business problems using AI technologies and ensure smooth integration into existing systems. This is an excellent opportunity for someone with a strong foundation in machine learning, data processing, and cloud platforms to grow in a hands-on, collaborative environment.

Key Responsibilities:

Assist in building and validating machine learning models and generative AI solutions for business use cases.

Support the creation and maintenance of scalable ML pipelines, including data preparation, feature engineering, training, and evaluation.

Collaborate with senior data scientists and engineers to fine-tune models for performance and reliability in production environments.

Help integrate ML models into applications through APIs and system interfaces.

Monitor deployed models for accuracy, performance, and data quality; escalate issues as needed.

Contribute to ongoing research and benchmarking of AI tools and models to improve current solutions.

Work with data engineers to ensure high-quality data ingestion and transformation pipelines.

Learn and apply version control and CI/CD practices in the ML lifecycle using tools like Git and Azure DevOps.

Use Azure services (e.g., Azure Machine Learning Studio, Databricks) to assist with model development, testing, and deployment.

Follow best practices in documentation, code quality, and reproducibility in AI/ML projects.

Bachelor’s or Master’s degree in ComputerScience, Data Science, Engineering, or a related field.2–4 years of hands-onexperience in machine learning or data science projects.

Proficiency in Python and common ML libraries(e.g., scikit-learn, pandas, TensorFlow, PyTorch).

Exposure to cloud environments, ideallyMicrosoft Azure or similar platforms.

Familiarity with ML workflows, versioncontrol, and basic DevOps practices.

Strong analytical and problem-solving skills.

Willingness to learn and collaborate acrossteams.