مهندس بيانات Jobs in Saudi Arabia

About the Role

Agoda, a global leader in online travel, is seeking a Senior Business Analyst to join its Performance Marketing Team. This role is based in Bangkok, with relocation assistance provided. The Performance Marketing Team focuses on online marketing strategies, utilizing data and technology to enhance customer lifetime value through measurable marketing programs. You will be part of a diverse, international team contributing to Agoda's mission of connecting people to destinations and experiences worldwide.

This position offers an opportunity to work in a fast-paced, data-driven environment that values curiosity and innovation. You will collaborate with professionals from various backgrounds, fostering a learning and growth environment. As part of the Performance Marketing Team, you will play a key role in optimizing campaign performance, developing predictive models, and providing actionable insights to drive business growth across multiple marketing channels.

Key Responsibilities

• Experiment with and optimize campaign performance across marketing partners such as Google, Bing, TripAdvisor, and Trivago, including ad structures and bidding strategies.
• Adapt to new product features and implement changes derived from successful tests to enhance campaign effectiveness.
• Analyze large datasets generated by experiments to develop predictive models using data science techniques.
• Understand the impact of large-scale campaigns and demand elasticity from pricing optimization.
• Liaise with product teams to define and implement a roadmap for model integration and application.
• Build dashboards to track performance metrics across marketing channels.
• Derive key insights from data to understand growth levers and identify areas for improvement.
• Communicate findings and strategic recommendations through presentations to stakeholders.

Qualifications and Requirements

• Bachelor's degree or higher from a top university in a quantitative subject such as computer science, mathematics, engineering, business, or a related field.
• A minimum of 4 years of experience in data analysis, preferably gained from top-tier consulting, investment banking, private equity, or a strategy/business role within a fast-growing global tech company.
• Proficiency in using one or more data analysis packages or databases, including SQL, SAS, R, SPSS, Python, or VBA.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent verbal and written communication skills in English.
• Demonstrated ability to move quickly and efficiently, making decisions based on objective data evidence.
• A strong desire to take ownership, make a significant impact, and influence business outcomes.
• Exceptional organizational skills, with a keen attention to detail and the ability to work independently.

Required Skills

• Data Analysis and Data Analytics
• Data Mining and Data Science
• Machine Learning and Statistics
• Business Analysis and Business Intelligence (BI)
• Proficiency in SQL, SAS, R, SPSS, Python, and VBA
• Experience with data visualization tools including Tableau and Power BI
• Familiarity with Microsoft SQL Server
• Strong Communication and Organizational Skills
• Attention to Detail and Ability to Work Independently
• Experience in Digital Marketing or E-commerce
• Knowledge of A/B Testing methodologies
• Presentation and Negotiation Skills

Work Environment and Location

This is a full-time position based in Bangkok, Thailand. Relocation assistance is provided for candidates moving to Bangkok. Agoda is committed to diversity and inclusion, and employment is based on merit and qualifications. We encourage applications from all backgrounds.

About the Business Intelligence Engineer Role

AIQU is seeking a Business Intelligence Engineer for an outsourced, contract position with one of its clients in Jeddah, Kingdom of Saudi Arabia. This role is for an initial term of one year, with the possibility of extension. The position requires an immediate joiner or candidates with a notice period of no more than 15-30 days.

As a BI Engineer, you will be responsible for designing, developing, and maintaining business intelligence solutions. This involves translating complex business requirements into actionable insights through data visualization and semantic modeling, ensuring data accuracy, and enabling business users with self-service analytics capabilities.

Key Responsibilities

• Design and maintain LookML models, including views, explores, and derived tables.
• Define consistent business metrics, dimensions, and calculations across the organization.
• Implement reusable measures, joins, and aggregate awareness within semantic models.
• Optimize semantic models for enhanced performance and user usability.
• Collaborate with data engineering and business stakeholders to align semantic definitions.
• Design and develop interactive Looker dashboards and reports that effectively communicate insights.
• Translate business requirements into clear, actionable, and visually appealing data visualizations.
• Apply best practices in data visualization to ensure usability and effective storytelling.
• Implement dashboard features such as filters, drill-downs, and user-level access controls.
• Maintain and enhance existing dashboards based on user feedback and evolving business needs.
• Empower business users to explore data independently using certified Looker explores.
• Design user-friendly semantic models to minimize reliance on ad-hoc SQL queries.
• Provide training, demonstrations, and guidance on best practices to business users.
• Define data governance guardrails to support self-service analytics initiatives.
• Write and optimize complex SQL queries for various analytics use cases.
• Validate data accuracy, aggregations, and business logic to ensure data integrity.
• Partner with Data Engineers to optimize tables, partitions, and data models.
• Troubleshoot data discrepancies and performance issues to maintain data reliability.
• Monitor dashboard performance, usage patterns, and identify any failures.
• Manage the Looker content lifecycle, including development, testing, and production deployment.
• Implement and maintain access controls and content organization within Looker.
• Continuously improve models and dashboards based on usage analytics and performance metrics.

Qualifications and Experience

• Minimum of 5 years of experience as a Business Intelligence Engineer.
• Demonstrated experience in designing and maintaining LookML models.
• Proven ability to define consistent business metrics, dimensions, and calculations.
• Experience in implementing reusable measures, joins, and aggregate awareness.
• Track record of optimizing semantic models for performance and usability.
• Experience in aligning semantic definitions with data engineering and business stakeholders.
• Proficiency in designing and developing interactive Looker dashboards and reports.
• Ability to translate business requirements into clear, actionable visualizations.
• Experience in applying visualization best practices for usability and storytelling.
• Skilled in implementing dashboard filters, drill-downs, and user-level access.
• Experience in maintaining and enhancing existing dashboards based on feedback.
• Ability to enable business users with tools for data exploration using certified Looker explores.
• Experience in designing user-friendly semantic models to reduce ad-hoc SQL dependency.
• Proven ability to provide training, demos, and best-practice guidance to users.
• Experience in defining data governance guardrails for self-service analytics.
• Proficiency in writing and optimizing complex SQL queries for analytics use cases.
• Experience in validating data accuracy, aggregations, and business logic.
• Experience in partnering with Data Engineers to optimize tables, partitions, and models.
• Skilled in troubleshooting data discrepancies and performance issues.
• Experience in monitoring dashboard performance, usage, and failures.
• Familiarity with maintaining Looker content lifecycle (development to production).
• Experience in implementing access controls and content organization.
• Ability to continuously improve models and dashboards based on usage analytics.

Required Skills

• Business Intelligence Engineering
• LookML
• Looker
• SQL
• Data Governance
• Data Visualization
• Data Engineering

Work Environment and Contract Details

This is a contract position based in Jeddah, Makkah, Saudi Arabia, with an initial term of one year, extendable. The work type is contract, and the employment is outsourced. Candidates are expected to be available to join immediately or within 15-30 days. The role is onsite in Jeddah.

About the Role

Agoda is seeking a Senior Analyst, Display Marketing to join its world-leading Performance Marketing Team. This role is based in Bangkok and offers relocation assistance. Agoda utilizes data and technology to make travel more accessible and enjoyable. The Performance Marketing Team develops large-scale, data-driven programs to enhance customer lifetime value through measurable marketing channels. This position offers the opportunity to work within a collaborative and expert team, contributing to innovative marketing strategies.

Role Overview

As a Senior Analyst, Display Marketing, you will be instrumental in experimenting with and optimizing campaign performance, developing predictive models, and providing insightful analysis to guide strategic decisions. You will be part of a dynamic environment that fosters continuous learning and growth, working alongside a diverse team of analysts, marketing strategists, and data scientists.

Key Responsibilities

• Experiment with and optimize campaign performance across various digital marketing channels.
• Develop and implement bidding and pricing strategies on platforms such as Google, Bing, TripAdvisor, and Trivago.
• Adapt to new product features and implement changes based on successful test outcomes.
• Analyze large datasets from experiments to develop predictive models using data science techniques.
• Understand the impact of large-scale campaigns on bookings and demand elasticity from pricing optimization.
• Liaise with product teams to define and implement a roadmap for data-driven initiatives.
• Build dashboards to track performance metrics and identify key growth levers.
• Derive actionable insights from data analysis and communicate recommendations effectively through presentations to stakeholders.

Qualifications and Experience

• Bachelor's degree or higher from a top university in a quantitative subject such as computer science, mathematics, engineering, business, or science, or a relevant field of study.
• 2-5 years of experience in data analysis, preferably from top-tier consulting, investment banking, private equity, or a strategy/business role within a fast-growing global tech company.
• Proficiency in one or more data analysis packages or databases, including SQL, SAS, R, SPSS, Python, or VBA.
• Experience with data visualization tools such as Tableau or Power BI.
• Excellent verbal and written communication skills in English.
• Ability to move quickly and efficiently, making decisions based on objective data evidence.
• An innate desire to take ownership, make an impact, and influence outcomes.
• Excellent organizational skills and attention to detail.
• Ability to work independently and manage multiple priorities.

Skills

• Data Analysis (SQL, SAS, R, SPSS, Python, VBA)
• Data Visualization (Tableau, Power BI)
• Digital Marketing
• E-commerce
• A/B Testing
• Communication Skills (Verbal and Written)
• Organizational Skills
• Attention to Detail
• Presentation Skills
• Negotiation Skills

Additional Information

This is a full-time position. Relocation assistance is provided for candidates moving to Bangkok.

About the Role

Agoda, a global leader in online travel, is seeking a Senior Analyst, App Marketing to join its Performance Marketing Team. This role is focused on developing and executing marketing programs to enhance customer lifetime value through measurable initiatives across various channels. You will be part of a diverse, international team that utilizes data, innovation, and problem-solving to support Agoda's mission of making travel more accessible worldwide. This position offers an opportunity to work in a dynamic environment where data and technology are central to the company culture. You will collaborate with experts from diverse backgrounds to contribute to the growth of Agoda's marketing efforts. The role involves deep analysis, strategic experimentation, and impactful reporting, with specific scope varying by marketing channel.

Key Responsibilities

• Experiment with and optimize campaign performance across partners such as Google, Bing, TripAdvisor, and Trivago, including ad/campaign structures and bidding & pricing strategies.
• Adapt to new product features and implement changes derived from successful tests to enhance marketing effectiveness.
• Analyze data from experiments to develop predictive models using data science techniques, such as understanding the impact of large-scale TV campaigns or demand elasticity from pricing optimization.
• Liaise with product teams to define and implement roadmaps for data-driven product enhancements.
• Build dashboards to track performance metrics and derive actionable insights.
• Identify growth levers and communicate strategic recommendations through presentations to stakeholders.
• Contribute to reporting and analysis to understand key performance indicators and trends.

Qualifications and Requirements

• Bachelor's degree or higher from a top university in a quantitative subject such as computer science, mathematics, engineering, business, science, or a relevant field of study.
• A minimum of 4 years of experience in data analysis, preferably from top-tier consulting, investment banking, private equity, or a strategy/business role within a fast-growing global tech company.
• Demonstrated ability to make decisions based on objective data evidence.
• A desire to take ownership and influence outcomes.
• Excellent organizational skills and attention to detail.
• Proven ability to work independently and manage multiple tasks effectively.

Required Skills

• Proficiency in data analysis and data analytics.
• Expertise in SQL for database querying and management.
• Experience with programming languages such as Python and R for data manipulation and analysis.
• Skilled in data mining and applying data science techniques.
• Experience with data visualization tools like Tableau and Power BI.
• Strong understanding of databases and data management principles.
• Experience in business analysis and business intelligence (BI).
• Familiarity with Microsoft SQL Server.
• Knowledge of machine learning concepts and applications.
• Solid foundation in statistics.
• Experience in experimentation and campaign performance optimization.
• Ability to develop and implement bidding and pricing strategies.
• Experience in predictive modeling.
• Strong reporting and insights derivation capabilities.
• Excellent verbal and written communication skills in English.

Work Location and Additional Information

This is a full-time position based in Bangkok, with relocation assistance provided. Agoda is an equal opportunity employer committed to diversity and inclusion. Employment is based solely on merit and qualifications. Applications may be kept on file for future vacancies.

Agoda began in 2005 with a passion for travel and a vision to make exploring the world easier. Now part of Booking Holdings, Agoda connects millions of people to destinations and experiences worldwide through deals on hotels, holiday properties, flights, and activities. Our diverse team of over 7,000 people from 90 countries fosters a culture of curiosity and innovation, fueled by data and technology.

About the Role

Genius Sports, a global leader in sports technology, is seeking individuals to join their team as Sports Data Collectors (Sports Scouts) in Jeddah, Saudi Arabia. This role offers an opportunity to contribute to the collection of official live data for leading sports leagues, federations, and media platforms. As an independent contractor, you will capture real-time, play-by-play data from live sporting events using Genius Sports' proprietary software.

This role provides a flexible, game-based work structure, serving as an entry point for those interested in the sports technology industry. You will utilize mobile technology in a live environment to ensure the accuracy and timeliness of critical sports data.

Key Responsibilities

• Attend live sports events in your local area, including Saudi Pro League matches and other competitions.
• Record accurate, real-time game data, such as scores and key events, using proprietary software.
• Effectively utilize mobile technology in a fast-paced, live event setting.

Required Qualifications

• A strong knowledge of football (soccer) is essential for accurate data collection.
• Reliability, attention to detail, and strong organizational skills are necessary for effective data management.
• Availability to work evenings and weekends is required to cover various sporting events.

Skills and Aptitude

• Proficiency in sports data collection techniques.
• Comprehensive understanding of football (soccer) rules and gameplay.
• Experience or aptitude for using mobile technology for data entry and management.
• Demonstrated reliability and a meticulous approach to tasks.
• Strong organizational abilities.

Additional Role Details

This position is for a Sports Data Collector (Football) with Genius Sports, located in Jeddah, Makkah, Saudi Arabia. The role requires 0-1 year of experience and is structured as a full-time independent contractor position, paid per game. Training and testing will be provided. Opportunities exist to increase earnings based on performance. All CVs are required to be submitted in English.

About the Role

Genius Sports, a global leader in sports technology, is seeking detail-oriented individuals to join as Sports Data Collectors (Sports Scouts) in the Baish region of Saudi Arabia. This role offers an opportunity for sports enthusiasts to contribute to the collection of official live sports data for major leagues, federations, and media platforms worldwide. As an Independent Contractor, you will be responsible for capturing real-time, play-by-play data from live sporting events using proprietary software. The role provides a flexible, game-based work structure, allowing you to earn income while attending live football matches locally.

Key Responsibilities

• Attend live sports events, including Saudi Pro League and lower-profile competitions, within your local area.
• Record accurate, real-time game data, including scores, plays, and key events, as they happen.
• Utilize mobile technology effectively in a fast-paced, live event environment to capture data.

Qualifications and Requirements

• Possess a strong knowledge of football (soccer).
• Demonstrate reliability, a keen eye for detail, and strong organizational skills.
• Be available to work evenings and weekends to accommodate event schedules.
• Experience: 0-1 years.

Required Skills

• Proficiency in sports data collection.
• Ability to perform real-time data recording accurately.
• Competence in using mobile technology for data capture.
• In-depth knowledge of football.
• High levels of reliability and attention to detail.
• Excellent organizational capabilities.

Work Structure and Compensation

This position is structured as an Independent Contractor role, with a work type of Full-time. Payment is a fixed amount of 55 € per game. Training and testing will be provided. Opportunities exist to increase earnings based on performance. All CVs are required to be submitted in English.

Location Details

The role is based in Baish, Saudi Arabia. Additional locations mentioned include Sabya and Makkah.

About the Role

Genius Sports, a global sports technology company, is looking for passionate individuals to join their team as Sports Data Collectors (Sports Scouts) in Rabigh, Saudi Arabia. This role offers an opportunity to collect live, real-time data from sporting events, contributing to providing major leagues, federations, and media platforms with official data.

Nature of Work and Responsibilities

As an independent contractor, you will be paid per match, offering a flexible work arrangement that suits your availability. Key responsibilities include attending live sporting events in your local area, including the Saudi Professional League and less prominent competitions. You will record accurate and immediate match data, such as scores, plays, and key events, using mobile technology effectively in a fast-paced environment.

Essential Qualifications

A strong understanding of football is essential for this role. Candidates must be reliable, detail-oriented, and organized. The role also requires availability to work evenings and weekends. All CVs must be submitted in English.

Required Skills

• Sports data collection
• Real-time data collection
• Proficiency in mobile technology
• Deep understanding of football
• Reliability
• Attention to detail
• Organizational skills

Additional Opportunity Information

Genius Sports is committed to providing the necessary training and testing for this role. There is an opportunity for increased earnings based on performance. Payment is per match, at a rate of €55 per match. The job is located in Rabigh, Makkah Province, Saudi Arabia. Genius Sports is an equal opportunity employer.

Join Our Dynamic Team as a Data Engineer
We are seeking a passionate Data Engineer to help us build robust data pipelines and work on modern analytics solutions. If you have 4+ years of experience and love tackling big data challenges, this role at TestCrew is perfect for you.

Location: Riyadh

Your Responsibilities:

• Build and optimize scalable ETL/ELT data pipelines.
• Work with Apache Spark for large-scale data processing.
• Design workflows using Apache Airflow.
• Develop and manage data warehouse & data lake architectures.
• Improve data models, performance, and reliability.
• Collaborate with analytics and business teams.
• Implement CI/CD and DataOps practices.
• Ensure data quality, governance, and efficiency across systems.

What We’re Looking For:

• Strong experience in Python & SQL.
• Hands-on expertise with Apache Spark.
• Experience with Apache Airflow.
• Knowledge of Data Warehousing & Data Lake concepts.
• Experience building ETL/ELT pipelines.
• Exposure to Cloud platforms (AWS / Azure / GCP) or Cloudera ecosystem.
• Strong understanding of data modeling & performance optimization.
• Familiarity with CI/CD pipelines and DataOps practices.

Nice to Have:

• Experience with streaming tools (Kafka, etc.)
• BI/Analytics tool exposure.
• Experience in Agile environments.

About the Role

Emboard is seeking a Computer Vision Engineer to join its team in Riyadh, Saudi Arabia. This role focuses on developing real-time computer vision solutions for applications such as face recognition and industrial anomaly monitoring. The position involves contributing to edge systems designed to enhance safety and operational efficiency. The role offers an opportunity to influence the development of advanced systems and foster professional growth in a dynamic field.

As a member of the organization, you will address challenges including optimizing complex models for industrial applications and collaborating with cross-functional teams. The role emphasizes creativity, open communication, and a collaborative work environment, with a commitment to work-life balance and access to advanced tools and technologies.

Key Responsibilities

• Develop and optimize computer vision models for industrial use cases, including Personal Protective Equipment (PPE) compliance, face recognition, and anomaly detection.
• Build and maintain Real-Time Streaming Protocol (RTSP)-based edge inference pipelines for seamless data flow from cameras to edge devices and backend dashboards.
• Integrate computer vision outputs into access control decisions and alert systems to improve operational effectiveness and security.
• Collaborate with Robot Operating System 2 (ROS2) and Internet of Things (IoT) teams to ensure smooth integration of robot perception capabilities.
• Optimize computer vision models for efficient deployment on edge hardware such as Nvidia Jetson/Orin platforms and mini-PCs.

Qualifications and Requirements

• A Bachelor's degree in Computer Engineering, Computer Science, or a closely related field is required.
• 1 to 5 years of experience in computer vision, with a preference for experience in industrial applications.
• Proficiency in developing and optimizing computer vision models, particularly for face recognition and anomaly detection.
• Strong analytical thinking skills for problem-solving and innovation.
• Effective communication skills to articulate complex technical concepts.
• Demonstrated teamwork capabilities and a collaborative mindset.

Technical Skills

• Expertise in developing and optimizing computer vision models, including experience with YOLOv8 (or later versions).
• Proficiency in using OpenCV for image processing and computer vision tasks.
• Experience with relevant model optimization frameworks.
• Strong programming skills in Python.
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow.
• Understanding of RTSP pipeline development and camera stream processing.
• Knowledge of edge deployment methodologies and experience deploying models on edge hardware.
• Experience with ROS2 integration and IoT integration is beneficial.
• Familiarity with deploying models on Nvidia Jetson/Orin platforms and mini-PC edge hardware.
• Excellent problem-solving abilities.
• Adaptability and a willingness to learn new technologies and methodologies.

Additional Information

Advanced degrees (Master's or PhD) in a relevant field are considered a plus. Relevant certifications in computer vision or machine learning are preferred but not mandatory. Previous roles involving mentorship or team leadership are considered a bonus. Established connections within the computer vision industry or related fields are advantageous.

This is a full-time position located in Riyadh, Saudi Arabia.

About the Role

Agoda is seeking a Staff Machine Learning Engineer to join its team. This role is integral to advancing Agoda's mission of connecting people with travel experiences globally through technology. The engineer will focus on enhancing ML systems to ensure scalability, stability, accuracy, and efficiency. Relocation assistance is provided for candidates based in India. The position is within Agoda's Engineering department, working at the intersection of business analytics, ML engineering, data warehousing, and software engineering. The team addresses complex challenges in distributed systems, stream processing, and large-scale ML computation, contributing to ML-driven solutions that support business decisions, improve customer experiences, and mitigate fraud. The company fosters a culture of experimentation, ownership, and diversity, with data as a core element of innovation.

Key Responsibilities

• Provide technical leadership to improve the scalability, stability, accuracy, speed, and efficiency of existing ML systems and processes.
• Build, administer, and scale ML processing pipelines.
• Design, build, test, and deploy new libraries, frameworks, or full systems for core systems, adhering to high standards of testing and code quality.
• Collaborate with engineers and product owners to identify and build tools that automate large-scale data management and analysis tasks.
• Take end-to-end ownership of ML models, from development through to production at scale.

Qualifications and Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• A minimum of 8 years of experience in software engineering, with at least 4 years focused on Machine Learning.
• Good experience in Pyspark.
• Expert-level understanding of Python, including design patterns and object-oriented programming.
• Experience debugging and reasoning about production issues is desirable.
• A good understanding of data architecture principles is preferred.
• Experience with Big Data technologies and tools.
• SQL experience.
• Strong analytical problem-solving capabilities and experience.
• Systems administration skills in Linux.
• A strong engineering-driven mindset is required.

Required Skills

• Proficiency in Python3, Pyspark, and scripting languages such as Bash and Python.
• Experience with Hadoop and S3.
• Familiarity with ML models including Random Forest, CNN, and Regression models.
• Expertise in Python, including design patterns and object-oriented programming.
• Skills in debugging and reasoning about production issues.
• Understanding of data architecture principles.
• Experience with Big Data technologies and tools.
• Proficiency in SQL.
• Strong analytical problem-solving skills.
• Linux systems administration skills.
• Good understanding of Hadoop ecosystems.
• Experience working with Open-source products.
• Experience with Scala development is a plus.
• Experience working in an agile environment using test-driven methodologies is beneficial.

Work Environment and Additional Information

This is a full-time position. Relocation assistance is provided for candidates based in India. Agoda offers a hybrid working model, a WFH set-up allowance, and 30 days of remote working from anywhere globally per year. The role is based in Riyadh, Saudi Arabia. Agoda is an equal opportunity employer committed to diversity and inclusion.

About the Role

Devoteam, a technology consulting firm with over 25 years of experience and a presence in 18+ countries, is seeking a Data Engineer to join their team in Riyadh, Saudi Arabia. This role is part of the Data & Intelligence Business Unit and is considered a Mid to Senior Level position. At Devoteam, the focus is on leveraging technology and human values to drive positive change, with a culture built on fairness, courage, ambition, results, learning, innovation, caring, and sharing.

As a Data Engineer, you will be responsible for developing, monitoring, and optimizing data quality rules and processes to ensure reliable and accurate enterprise data. This involves identifying and resolving data anomalies through profiling, cleansing, and validation workflows, ensuring that critical business decisions are supported by complete, consistent, and high-integrity data across all systems. A key aspect of this role is building quality checks directly into the data infrastructure.

Key Responsibilities

• Design, implement, and maintain data quality frameworks, rules, and processes to ensure the accuracy, completeness, and reliability of enterprise data.
• Collaborate with data governance, MDM, and data integration teams to enforce consistent data quality standards across systems.
• Conduct data profiling, anomaly detection, and validation to identify quality gaps and their root causes.
• Develop automated data quality checks and workflows for continuous monitoring and remediation.
• Define and manage key data quality metrics (DQ KPIs) and build dashboards to visualize performance trends.
• Document data quality rules, issue logs, and remediation actions as part of the data governance framework.
• Work closely with business data stewards and domain owners to define data quality expectations and acceptance thresholds.
• Support audits, compliance reviews, and data management maturity assessments by providing DQ evidence and reports.
• Lead the design and deployment of scalable data quality solutions across multiple data domains and systems.
• Define enterprise data quality standards, policies, and rule frameworks aligned with the overall governance strategy.
• Establish data quality scorecards, thresholds, and escalation workflows for high-impact issues.
• Conduct root cause analysis and lead remediation programs for chronic data issues.
• Mentor junior engineers and promote data quality best practices across teams.
• Participate in compliance with local data management regulations, such as NDMO and NDI.
• Design, build, and maintain scalable, secure, and robust data pipelines for efficient data ingestion and transformation, with a strong focus on building quality checks into the infrastructure itself.
• Collaborate with cross-functional and leadership teams, including Data Scientists, Analysts, and Business Leaders, to translate complex business requirements into technical data quality solutions.
• Research, evaluate, and recommend new data quality tools, technologies, and practices to enhance the reliability, security, and scalability of the data infrastructure.

Qualifications and Requirements

• Bachelor's or Master's degree in Computer Science, Information Management, or a related discipline.
• 5+ years of experience in Data Quality, Data Governance, or Data Engineering roles.
• Proven hands-on experience with enterprise DQ tools such as Informatica DQ/IDMC, Ataccama, Talend DQ, or SAS DQ.
• Strong expertise in data profiling, rule design, standardization, and exception management.
• Proficiency in SQL and scripting languages like Python, Shell, or Scala for advanced data validation.
• Deep understanding of data governance frameworks and experience collaborating with data stewards.
• Ability to design DQ dashboards, scorecards, and KPIs to monitor performance.
• Strong communication skills for presenting findings and recommendations to business stakeholders.
• Experience mentoring junior engineers or managing small DQ workstreams.
• Experience defining data quality strategy and embedding DQ into enterprise data platforms, including MDM, DWH, and Data Lake.
• Understanding of data lineage, root cause analysis, and impact assessment.
• Knowledge of metadata management and its integration with data catalogs.
• Familiarity with regulatory and compliance requirements, such as NDMO and NDI.
• Ability to automate DQ workflows through orchestration or CI/CD pipelines.

Required Skills

• Data Quality
• Data Governance
• Data Engineering
• Data Profiling
• Data Cleansing
• Data Validation
• Automated Data Quality Checks
• Data Quality Metrics (DQ KPIs)
• Data Governance Frameworks
• SQL
• Python
• Shell Scripting
• Scala
• Data Stewardship
• Data Management Maturity Assessments
• Data Quality Strategy
• Data Quality Policies
• Data Quality Rule Frameworks
• Data Quality Scorecards
• Escalation Workflows
• Root Cause Analysis
• Remediation Programs
• Data Quality Best Practices
• Data Management Regulations
• Data Pipelines
• Data Ingestion
• Data Transformation
• Business Requirements Translation
• Technical Data Quality Solutions
• Data Quality Tools
• Data Quality Technologies
• Data Infrastructure Reliability
• Data Infrastructure Security
• Data Infrastructure Scalability
• Informatica DQ/IDMC
• Ataccama
• Talend DQ
• SAS DQ
• Standardization
• Exception Management
• DQ Dashboards
• Mentoring
• DQ Workstreams
• Data Lineage
• Impact Assessment
• Metadata Management
• Data Catalogs
• Regulatory Compliance
• NDMO
• NDI
• DQ Workflow Automation
• Orchestration
• CI/CD Pipelines
• Communication
• Collaboration
• Problem-Solving
• CDMP Associate Certificate and/or Informatica IDQ Certificate and/or IDMC DQ Certificate

Work Environment

This is a full-time position based in Riyadh, Saudi Arabia. The role requires 5-10 years of experience and is part of the Data & Intelligence Business Unit at a Mid to Senior Level.

About the Role

Devsinc is seeking an experienced NLP Engineer with a strong focus on the Arabic language to join our team in Riyadh, Saudi Arabia. This role is integral to designing, developing, and deploying intelligent AI solutions for a range of Arabic and multilingual applications. You will be instrumental in building advanced Natural Language Processing (NLP) systems that power chatbots, virtual assistants, intelligent search functionalities, document processing tools, and other cutting-edge AI-driven digital solutions. The ideal candidate will possess hands-on experience in creating production-grade NLP models, implementing Retrieval-Augmented Generation (RAG) architectures, and deploying scalable AI services within cloud environments. This full-time position offers a significant opportunity to contribute to innovative AI projects within the Saudi Arabian market.

Key Responsibilities

• Design, develop, and deploy intelligent AI solutions with a strong emphasis on Arabic Language Processing and Large Language Models (LLMs).
• Build advanced NLP systems for applications such as chatbots, virtual assistants, intelligent search, and document processing.
• Develop and implement production-grade NLP models.
• Implement Retrieval-Augmented Generation (RAG) architectures.
• Deploy scalable AI services in cloud environments.
• Manage the lifecycle of AI models, including deployment, monitoring, and ongoing management through MLOps practices.

Qualifications and Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.
• 3-6 years of professional experience in NLP, Machine Learning, or AI Engineering.
• Demonstrated strong experience working with Arabic language NLP solutions.
• Proficiency in Python and modern NLP/ML frameworks.
• Hands-on experience with Transformers and Large Language Models (LLMs).
• Experience with Embeddings and Vector Search techniques.
• Proficiency in Tokenization processes.
• Experience in Text Classification tasks.
• Experience with Named Entity Recognition (NER).
• Experience in Sentiment Analysis.
• Experience in Text Summarization.
• Experience implementing Retrieval-Augmented Generation (RAG).
• Experience with the Hugging Face library.
• Experience with the spaCy library.
• Experience with the FastAPI framework.
• Experience implementing MLOps practices, including model deployment, monitoring, and lifecycle management.
• Experience deploying AI solutions on cloud platforms such as AWS, Azure, or GCP.
• A strong understanding of scalable AI architectures and production environments.

Required Skills Overview

• Natural Language Processing (NLP)
• Arabic Language Processing
• Large Language Models (LLMs)
• AI Solutions Development
• Chatbot and Virtual Assistant Development
• Intelligent Search Systems
• Document Processing
• Production-grade NLP Model Development
• Retrieval-Augmented Generation (RAG)
• Scalable AI Services Deployment
• Cloud Environments (AWS, Azure, GCP)
• Machine Learning and AI Engineering
• Python Programming
• Modern NLP/ML Frameworks
• Transformers, Embeddings, Vector Search
• Tokenization, Text Classification, NER, Sentiment Analysis, Text Summarization
• Hugging Face, spaCy, FastAPI
• MLOps Practices (Deployment, Monitoring, Lifecycle Management)
• Scalable AI Architectures and Production Environments

Work Environment and Location

This is a full-time position based in Riyadh, Saudi Arabia. The role involves working within a team focused on developing and deploying advanced AI solutions.

About the Role

Araamis is seeking a highly skilled and experienced AI Engineer to join its team in Riyadh, Saudi Arabia. This role focuses on developing and deploying advanced AI solutions, with a particular emphasis on Arabic language technologies. The AI Engineer will play a pivotal role in transforming cutting-edge research into scalable applications and building intelligent systems that support the Arabic AI Center's initiatives.

Key Tasks and Responsibilities

• Design, develop, and implement AI and machine learning solutions.
• Build and optimize Arabic Natural Language Processing (NLP) models and language processing pipelines.
• Train, evaluate, and fine-tune machine learning and deep learning models for optimal performance.
• Develop and integrate AI services and APIs into enterprise platforms.
• Deploy, monitor, and maintain AI models in production environments, ensuring continuous operation.
• Collaborate effectively with researchers, linguists, and business stakeholders to deliver impactful AI-driven solutions.
• Ensure the performance, scalability, and reliability of all deployed AI models.
• Prepare comprehensive technical documentation and contribute to knowledge transfer activities within the team.

Qualifications and Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a closely related field.
• Minimum of 5 years of professional experience, specifically in Arabic Natural Language Processing (NLP).
• Proven experience in designing, developing, and deploying AI and machine learning solutions.
• Hands-on experience in building and optimizing Arabic NLP models and language processing pipelines.
• Experience with Large Language Models (LLMs) and generative AI technologies.
• Knowledge of Machine Learning Operations (MLOps) principles, model deployment strategies, and cloud AI solutions.
• Experience with data engineering concepts and API development.
• Strong troubleshooting and problem-solving skills to address complex technical challenges.
• Excellent teamwork and communication abilities to foster collaboration and knowledge sharing.

Technical Skills

• Machine Learning
• Deep Learning
• Arabic NLP
• Python Programming
• TensorFlow
• PyTorch
• Hugging Face
• Large Language Models (LLMs)
• Generative AI
• MLOps
• Model Deployment
• Cloud AI Solutions
• Data Engineering Concepts
• API Development
• Troubleshooting
• Problem Solving
• Teamwork
• Communication

Additional Job Information

This is a full-time position, requiring 5-10 years of experience. The work location is Riyadh, Saudi Arabia.

About the Role

UMATR is seeking a Full-Stack Engineer to join its product engineering team in Riyadh, Saudi Arabia. This role is central to the development and scaling of a real-time voice AI platform designed for enterprise clients across sectors like financial services and customer operations. You will be part of a product-focused engineering team, with opportunities for significant ownership and influence over technical direction and product strategy. This is a hands-on position requiring end-to-end responsibility for the product lifecycle, from concept to deployment.

UMATR is a growing technology firm specializing in AI-powered communication products for enterprise clients. The company's platform is experiencing substantial adoption and growth, driven by large-scale deployments. Engineers at UMATR work on systems handling real customer interactions at scale, gaining exposure to advanced AI and communication technologies.

Key Responsibilities

• Design and build full-stack features from concept through to production deployment.
• Develop robust backend services and APIs utilizing Python and TypeScript.
• Construct systems that effectively support real-time communication and automation workflows.
• Deploy and operate services within a cloud-native environment.
• Collaborate closely with product and design teams to rapidly deliver new functionality.
• Enhance platform scalability, reliability, and performance in response to growing customer adoption.
• Take ownership of systems in production and contribute to the overall technical direction of the platform.

Qualifications and Requirements

• Possess 3+ years of professional software engineering experience.
• Demonstrate strong development skills in Python and/or TypeScript.
• Proven experience in building and shipping production-grade software.
• Exhibit a solid understanding of backend development principles, API design, and database design.
• Have experience working with PostgreSQL or other relational databases.
• Possess experience deploying and operating applications in cloud environments.
• Be comfortable working in a fast-moving startup environment.
• Maintain a strong ownership mentality and the ability to work independently.

Required Skills and Experience

• Proficiency in Python and TypeScript.
• Experience with cloud platforms, specifically Google Cloud Platform (GCP).
• Expertise in building and managing APIs.
• Strong understanding of cloud infrastructure and real-time systems.
• Skilled in backend development and database design, including PostgreSQL.
• Familiarity with deploying and operating applications in cloud environments.
• Adaptability to a startup environment and a strong ownership mentality.
• Experience with AI-enabled products or platforms is advantageous.
• Exposure to real-time systems, communications platforms, or voice technologies is a plus.
• Ability to build scalable, high-throughput systems.
• Knowledge of distributed systems and event-driven architectures.
• Effective communication and stakeholder management skills.
• Familiarity with modern cloud-native infrastructure patterns.

Work Environment and Details

This is a full-time position based in Riyadh, Saudi Arabia. The role offers a high-ownership engineering environment and the opportunity to work on a rapidly scaling product. You will gain exposure to real-world AI and communication systems, with direct impact on product and technical decisions, and potential for fast career progression.

About the Role

AtkinsRéalis is seeking an experienced AFC Data Analyst to join its team in Riyadh, Saudi Arabia. This full-time position is integral to supporting data-driven decision-making within public transportation systems. The role requires deep expertise in analyzing fare collection data, passenger behavior, revenue performance, and system efficiency, alongside a strong understanding of transportation operations.

This position offers an opportunity to contribute to the evolution of urban mobility by leveraging advanced data analytics to optimize public transportation services. The AFC Data Analyst will identify trends, provide actionable insights, and support strategic planning initiatives.

Key Responsibilities

• Analyze Automated Fare Collection (AFC) transaction data, including smart cards, mobile tickets, and contactless payments, to identify trends in ridership, revenue, and passenger flow.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) such as ridership, fare evasion, peak usage, and revenue leakage.
• Perform data validation and quality checks to ensure the integrity of AFC datasets.
• Provide insights into passenger travel patterns, route performance, and network utilization.
• Support planning teams by contributing to demand forecasting and capacity planning efforts.
• Analyze multimodal integration (bus, metro, tram) using AFC data to understand interdependencies and optimize network performance.
• Build predictive models for ridership forecasting, fare optimization, and demand analysis.
• Apply statistical techniques and machine learning methodologies to derive deeper insights.
• Conduct scenario analysis to support policy development or fare structure changes.
• Collaborate with AFC system vendors and internal IT teams to manage data pipelines and integrations.
• Extract, transform, and load (ETL) large datasets from AFC systems and data warehouses.
• Ensure compliance with data governance and security standards.
• Collaborate with operations, finance, and planning teams to translate complex data into actionable insights.
• Present findings and recommendations clearly to senior stakeholders and leadership.
• Support audits and regulatory reporting requirements by providing necessary data and analysis.

Qualifications and Requirements

• Bachelor's degree in Data Science, Statistics, Computer Science, Transportation Engineering, or a related field; a Master's degree is preferred.
• A minimum of 10 years of experience in data analysis, with a strong preference for experience within public transportation or mobility sectors.
• Proven experience working with Automated Fare Collection (AFC) systems, such as Cubic, Thales, or Scheidt & Bachmann.
• Strong understanding of public transportation operations.
• Solid knowledge of fare structures and ticketing systems.
• Familiarity with transit KPIs and performance metrics.
• Strong analytical and problem-solving skills.
• Excellent communication skills, with the ability to present data effectively.
• Ability to work effectively and collaboratively across different functional teams in complex environments.

Technical Skills

• Advanced proficiency in SQL.
• Proficiency in Python or R for data analysis.
• Experience with data visualization tools such as Power BI and Tableau.
• Experience with Big data platforms (*, Hadoop, Spark) is a plus.
• Familiarity with GIS tools (ArcGIS/QGIS) for spatial analysis.
• Experience with ETL tools and data warehousing concepts.

Additional Information

This is a full-time position based in Riyadh, Saudi Arabia. The role requires over 10 years of experience. Preferred qualifications include experience in smart mobility or digital ticketing transformation projects, knowledge of contactless EMV payment systems, familiarity with real-time data analytics in transportation, and experience in large-scale metro, rail, or bus network environments.

AtkinsRéalis is a world-class engineering services and nuclear organization that connects people, data, and technology to transform infrastructure and energy systems. The company is committed to leading clients across various end markets to engineer a better future for the planet and its people.

About the Role

Accenture Middle East is seeking an AI Native Software Engineer to join a services company focused on AI-native innovation. The company partners with enterprise clients to develop agent-powered workflows designed for scalability in real-world applications. Engineers work closely with clients to move projects from experimentation to operational reality. This role involves building cloud-native solutions and deploying agentic systems, particularly within enterprise environments. The engineer will be a critical thinker, capable of delivering results by designing, building, and running AI agents that enhance workflows and scale across modern infrastructure. The position offers opportunities to shape enterprise AI adoption, either by leading agentic solutions and developing talent, or by taking ownership of critical technical areas as an individual contributor.

The role requires direct partnership with client stakeholders, acting as both a technologist and an advisor. Collaboration will involve defining use cases, rapid prototyping, and deploying robust, secure, and operational agentic workflows within complex enterprise domains. This often includes developing new platforms and systems that integrate with existing client environments and partner ecosystems.

Key Responsibilities

• Design and build enterprise-ready AI agents, incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Implement resilient, testable, and maintainable agentic workflows that allow for rapid iteration.
• Develop and extend abstraction layers across AI providers (*, Anthropic, Google, OpenAI) to facilitate seamless integration and multi-provider support.
• Contribute to shared libraries, SDKs, and patterns for reuse across client projects.
• Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks for scalable AI-native systems.
• Take ownership of deployment, monitoring, and troubleshooting for services in production environments.
• Tailor and deploy agentic applications across various industries (*, finance, healthcare, retail), adapting to domain-specific processes and constraints.
• Collaborate with client subject matter experts to translate business workflows into agentic solutions.
• Participate in and lead design workshops, Proofs of Concept (POCs), and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
• Communicate trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.
• Define and utilize key metrics, test harnesses, and evaluation plans to assess agent accuracy, latency, safety, and cost-effectiveness.
• Iterate rapidly based on data, feedback, and evolving requirements.
• Develop reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.
• Contribute to internal communities of practice focused on AI-native and agentic engineering.

Qualifications and Requirements

• Minimum of 3 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
• Minimum of 1 year of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments.
• Minimum of 1 year of experience with modern AI platforms such as OpenAI, Claude, Vertex AI, or open-source models, including building or using abstraction layers for multi-provider pipelines.
• Minimum of 3 years of strong experience in Python, Java, or equivalent languages for building 12-factor applications, along with Infrastructure as Code (IaC) using tools like Terraform or Helm.
• Minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions in ambiguous situations.
• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical work experience (minimum 12 years). An Associate's degree requires a minimum of 6 years of work experience.

Required Skills

• Proficiency in cloud-native solutions.
• Experience with agentic systems and AI agents.
• Understanding of core agent capabilities including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Ability to develop abstraction layers across AI providers.
• Experience with containerization technologies such as Kubernetes and Docker.
• Knowledge of microservices, serverless, and event-driven architectures.
• Familiarity with CI/CD pipelines and observability stacks.
• Programming languages: Python, Java, or equivalent.
• Adherence to 12-factor application development principles.
• Experience with Infrastructure as Code (IaC) using tools like Terraform and Helm.
• Strong client-facing communication and collaboration skills.
• Capability to lead technical discussions, workshops, and delivery sessions in ambiguous environments.
• Experience with modern AI platforms (OpenAI, Claude, Vertex AI) and abstraction layers for multi-provider pipelines.
• Experience with agentic tooling and frameworks, including multi-agent orchestrations using Lang-graph, Crew AI, Claude SDK, or OpenAI SDK.
• Familiarity with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
• Understanding of the AI-native paradigm, which blends cloud-native principles with generative model architectures for optimized performance, modularity, and efficiency.
• Experience delivering solutions across multiple industries by tailoring agentic workflows to specific needs.
• Proven ability to drive execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes.

Work Environment and Location

This is a full-time position. The role is based in Riyadh, Saudi Arabia. Travel may be required for this role, with the amount varying from 25% to 75% depending on business needs and client requirements.

About the Role

Accenture Middle East is seeking an AI Native Software Engineer to join its team in Riyadh, Saudi Arabia. The role focuses on partnering with enterprise clients to develop and implement next-generation, agent-powered workflows designed for scalability. As an AI Native Engineer, you will work closely with clients to transition projects from experimentation to operational reality, shaping how enterprises adopt AI-native engineering practices. This can involve leading complex agentic solutions, developing engineering talent, or contributing as a senior individual contributor in critical technical areas.

In this position, you will collaborate directly with client stakeholders, serving as both a technical expert and a trusted advisor. Your responsibilities will include defining use cases, rapid prototyping, and deploying robust, secure, and operational agentic workflows within complex enterprise environments. This often entails building new platforms and systems that integrate with existing client infrastructure and partner ecosystems.

Key Responsibilities

• Design and build enterprise-ready AI agents that incorporate retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Implement resilient, testable, and maintainable agentic workflows capable of rapid iteration.
• Develop and extend abstraction layers across AI providers (*, Anthropic, Google, OpenAI) to facilitate seamless integration and multi-provider support.
• Contribute to shared libraries, SDKs, and patterns for reuse across clients.
• Utilize containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks for scalable AI-native systems.
• Manage the deployment, monitoring, and troubleshooting of services in production environments.
• Tailor and deploy agentic applications across various industries (*, finance, healthcare, retail), adapting to domain-specific requirements.
• Collaborate with client subject matter experts to translate business workflows into effective agentic solutions.
• Participate in and lead design workshops, Proofs of Concept (POCs), and code-with sessions to shape data-driven agent workflows with stakeholders.
• Communicate technical trade-offs, risks, and recommendations to both technical and non-technical audiences.
• Define and utilize key metrics, test harnesses, and evaluation plans to assess agent accuracy, latency, safety, and cost-effectiveness.
• Iterate rapidly based on data, feedback, and evolving requirements.
• Develop reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.
• Contribute to internal communities of practice focused on AI-native and agentic engineering.

Qualifications and Requirements

• A minimum of 3 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
• A minimum of 1 year of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments.
• A minimum of 1 year of experience with modern AI platforms such as OpenAI, Claude, Vertex AI, or open-source models, including building or using abstraction layers for multi-provider pipelines.
• A minimum of 3 years of strong experience in Python, Java, or equivalent languages for building 12-factor applications, coupled with Infrastructure as Code (IaC) experience using tools like Terraform or Helm.
• A minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions in ambiguous environments.
• A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical work experience (minimum 12 years). If an Associate's Degree is held, a minimum of 6 years of relevant work experience is required.

Required Skills

• Cloud-native solutions
• Agentic systems and AI agents
• Core agent capabilities including Retrieval, Orchestration, Policy-based routing, Tool invocation, Evaluation harnesses, and Lifecycle observability
• Abstraction layers across AI providers
• Containerization technologies such as Kubernetes and Docker
• Microservices and Serverless architectures
• Event-driven architectures
• CI/CD pipelines and Observability stacks
• Proficiency in Python and Java
• Experience with 12-factor applications
• Infrastructure as Code (IaC) with tools like Terraform and Helm
• Client-facing communication and collaboration
• Leading technical discussions, workshops, and delivery sessions
• Navigating ambiguity in project delivery
• Experience with multi-agent orchestrations using frameworks like Lang-graph, Crew AI, Claude SDK, or Open AI SDK
• Experience building agents or plugins
• Understanding of enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures
• Familiarity with the AI-native paradigm, blending cloud-native principles with generative model architectures for optimized performance, modularity, and efficiency
• Experience delivering solutions across multiple industries by tailoring agentic workflows to specific needs
• Proven ability to drive execution across multiple workstreams, ensuring quality, timely delivery, and alignment with client outcomes

Work Environment and Additional Information

This is a full-time position based in Riyadh, Saudi Arabia. Travel may be required for this role, varying from 25% to 75% depending on business needs and client requirements. Relevant AI certifications or agentic tooling experience are considered a plus.

About the Role

MOZN, a rapidly growing technology firm headquartered in Riyadh, Saudi Arabia, is dedicated to advancing Artificial Intelligence and Data Science. The company is committed to supporting Vision 2030 and has a proven track record in developing the tech ecosystem across Saudi Arabia and the GCC region. Mozn serves as a trusted AI technology partner for major government organizations, large corporations, and startups. The company is currently scaling its operations to deliver AI-powered products and solutions globally. The Compliance & Fraud Intelligence Unit is seeking a Senior Data Scientist to play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate Anti-Money Laundering (AML) risks. This role requires specialized expertise in areas such as Open Banking, Credit Scoring, Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and AML initiatives.

Key Responsibilities

• Lead the development and implementation of comprehensive strategies for fraud detection and AML.
• Engage with Subject Matter Experts (SMEs) and enterprise clients to understand challenges and identify gaps.
• Develop and execute project plans with clear deliverables to address client needs.
• Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
• Plan, research, and experiment with customized, project-based solutions.
• Plan and execute the training and deployment of Machine Learning (ML) models.
• Contribute to shaping the strategic roadmap for the development of fraud and AML solutions.
• Stay informed about the latest industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.

Qualifications and Requirements

• Bachelor's or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
• A minimum of 5 years of experience in leading advanced data science projects.
• A minimum of 3 years of experience in client-facing engagements specifically within fraud prevention and AML.
• Strong communication skills for gathering insights from clients and presenting findings.
• Proficiency in handling and analyzing large datasets using SQL and Python.
• Hands-on experience in data extraction, visualization, analysis, and transformation.
• Expertise in building and maintaining advanced ML and statistical models.
• Experience in graph analytics and utilizing graph networks is considered advantageous.
• Skilled in utilizing databases, data warehousing, data modeling techniques, and feature generation/engineering.
• Ability to create and manage complex multi-stage data pipelines.
• Experience in building fraud detection models, or consulting on fraud detection/prevention systems or AML is highly advantageous.
• Excellent verbal and written communication skills in English and Arabic.
• Excellent problem-solving skills, attention to detail, and adaptability.

Technical Skills

• Open Banking
• Credit Scoring
• Financial Fraud Detection
• Sanction Screening
• Know Your Customer (KYC)
• Anti-Money Laundering (AML)
• SQL
• Python
• Data Visualization
• Data Analysis
• Data Transformation
• Machine Learning Models
• Statistical Models
• Graph Analytics
• Graph Networks
• Databases
• Data Warehousing
• Data Modelling
• Feature Engineering
• Data Pipelines
• Fraud Detection Models

Work Location and Type

This is a full-time position based in Riyadh, Saudi Arabia.