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[ksa] data & ai – senior consultant / associate manager Jobs in Saudi Arabia

data modeler / big data engineer Jobs in Saudi Arabia

data modeler / big data engineer

senior data engineer Jobs in Saudi Arabia

senior data engineer

data analytics

Confidential Semi-Government

<div>
 
 We are seeking a Data Scientist | Machine Learning &amp; Threat Detection to build machine learning models that enhance our threat detection capabilities.
 
 
 
 Role Overview:
 
 Advanced analytics role leveraging big data to identify anomalous behaviors and predict emerging threats.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop machine learning models for anomaly detection.
 </li>
 <li>
 Process and analyze massive datasets from SIEM and threat intelligence feeds.
 </li>
 <li>
 Collaborate with security analysts to automate complex threat hunting tasks.
 </li>
 </ul>
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Mathematics, or Computer Science.
 </li>
 <li>
 5+ years in data science within a cybersecurity context.
 </li>
 <li>
 Certified Analytics Professional certification.
 </li>
 </ul>
 
 
</div>

Data Scientist | Machine Learning & Threat Detection

Qiddiya Investment Company

<div>The senior Expert for Data Modeling will be responsible for the deign and implementation of data models incorporating all information centralized BU the CDU team.
This currently includes:<ul><li>
Cost data from Prism</li><li>
Time data from Primavera P6</li><li>
Risk data from Arm</li><li>
Metadata from Aconex related to documents and report content</li><li>
Various spreadsheets and databases implemented by Qiddiya</li></ul>
The Data Modeling expert will take the existing model developed in PowerBI and enhance it&rsquo;s capabilities, accessibility and scope of analysis to men the needs of the Qiddiya development division
Key Responsibilities<ul><li>
Enhance the existing data model strategy that covers all development analysis and reporting requirements</li><li>
Ensure clear requirements are provided to data owners so they understand how their data is tagged so it can be incorporated into models</li><li>
Manage the data modeling team, consisting of AI modeling expert, LLM modeling expert and a database technician and assign them tasks that achieve the desired outcome</li><li>
Advise the Data Modeling and Performance &amp; Analytics Director of best practice and possible enhancement to solutions</li><li>
Work with the Data Office to ensure all data and reports are properly governed</li></ul> 
 
 
Requirements 
Qualifications &amp; Experience
Systems development
o Implementation of software solutions into established working environments
o Experienced with the integration of existing software packages
o Development of workflow and automated process to enhance data capturing routines
Intra- organization stakeholder experience
o Effectively liaise with individuals with a variety of experience and authority levels
o Understand technical solutions and communicate how they solve problems
Team support and development
o Assessment of individual and team performance to optimize efficiency
o Support to individuals with a variety of technical experience to encourage growth and development
Effective delivery within large organizational structures:
o Work within the established organizational structure to effectively deliver defined outcomes
o Help manage messaging within Qiddiya to ensure Implementation is providing a trusted service
Team collaboration:
o Work effectively as a team member, sharing responsibility, providing support, maintaining communication, and updating senior team members on progress
o Communicate and collaborate with other team members, adjacent teams, and external partners, such as consultants
Degree educated in information services and/or data analytics
Established experience of working as part of an owner&rsquo;s team on solutions for large and complex organizations
Preferred Backgrounds<ul><li>
Excellent communication, presentation, and interpersonal skills</li><li>
Fluency in using Microsoft Office</li><li>
Have high ability to work individually and collaboratively with others</li><li>
Have high ability to work effectively under pressure and meet established goals and objectives within the specified deadline</li><li>
Highly motivated and a strong drive to learn including independent learning</li></ul> 
What We Offer<ul><li>
Exposure to all aspects of the development business</li><li>
Opportunity to shape large datasets and implement innovative analytical solutions</li><li>
Opportunity to help develop a team with strong core technical skills</li><li>
Long term appointment</li></ul></div>

Manager - Data Modeling CDUP2086

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist I position would have an interest in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, Anti-Money Laundering (AML) initiatives, and emerging Generative AI technologies. As a Data Scientist I, you will support the development of analytical and AI-driven solutions to help detect and prevent fraudulent activities and mitigate AML risks under close guidance.
 
 
 
 
 What you&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <ul>
 <li>
 Support the development of fraud detection, AML, and Generative AI use cases.
 </li>
 <li>
 Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
 </li>
 <li>
 Prepare, clean, and analyze structured and unstructured data.
 </li>
 <li>
 Support the training, evaluation, and deployment of ML models.
 </li>
 <li>
 Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
 </li>
 <li>
 Execute assigned tasks within project plans under supervision.
 </li>
 <li>
 Stay informed about industry trends related to fraud, AML, and Generative AI.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience in data science or analytics.
 </li>
 <li>
 Basic understanding of ML concepts and exposure to Generative AI or LLMs.
 </li>
 <li>
 Proficiency in SQL and Python.
 </li>
 <li>
 Experience with data extraction, cleaning, and basic visualization.
 </li>
 <li>
 Familiarity with model evaluation and feature engineering concepts.
 </li>
 <li>
 Proficiency in English; Arabic is a plus.
 </li>
 <li>
 Strong problem-solving skills, attention to detail, and eagerness to learn.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
 </li>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
 </li>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
 </li>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.
 </li>
 </ul>
</div>

Data Scientist I

ALESAYI HOLDING |  العيسائي القابضة

<div>
 
 We are hiring a
 
 Data Analyst
 
 to join our Customer Experience team in a leading
 
 automotive company
 
 based in Jeddah.
 
 
 
 Role Purpose:
 
 
 
 To ensure the
 
 accuracy, quality, and analysis of customer and operational data
 
 , while delivering actionable insights that enhance
 
 customer experience
 
 , improve
 
 business performance
 
 , and support
 
 data-driven decision-making
 
 across the organization.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Analyze customer data, leads, and operational performance
 </li>
 <li>
 Ensure data accuracy across sales, service, and customer systems
 </li>
 <li>
 Prepare and maintain reports &amp; dashboards (NPS, CSI, QSR)
 </li>
 <li>
 Monitor customer complaints, inquiries, and ticket quality
 </li>
 <li>
 Generate daily and periodic insights to support business decisions
 </li>
 <li>
 Track and improve campaign performance (SMS &amp; customer surveys)
 </li>
 <li>
 Collaborate with internal teams to enhance customer experience
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant field
 </li>
 <li>
 Minimum
 
 3 years of experience
 
 in data analysis
 </li>
 <li>
 Strong proficiency in
 
 Excel and PowerPoint
 
 </li>
 <li>
 Good command of English (written &amp; spoken)
 </li>
 <li>
 Generate daily and periodic insights to support business decisions
 </li>
 <li>
 Strong analytical skills and attention to detail
 </li>
 <li>
 Experience in
 
 automotive or customer experience environments
 
 is a plus
 </li>
 </ul>
 
 
</div>

Data Analyst

Group-IB

<div>
 
 Founded in 2003 and headquartered in Singapore, Group-IB is a leading creator of cybersecurity
 
 
 technologies to investigate, prevent, and fight digital crime. Combating cybercrime is in the company&rsquo;s DNA, shaping its technological capabilities to defend businesses, and citizens, and support law enforcement operations.
 
 
 
 
 
 Group-IB&rsquo;s Digital Crime Resistance Centers (DCRCs) are located in the Middle East, Europe, Central Asia, and Asia-Pacific to help critically analyze and promptly mitigate regional and country-specific threats. These mission-critical units help Group-IB strengthen its contribution to global cybercrime prevention and continually expand its threat-hunting capabilities.
 
 
 
 
 
 Each of us can help make the world a safer place. Join us!
 
 
 
 
 
 
 WHAT WE WILL #DO TOGETHER:
 
 
 
 Group-IB is a partner of INTERPOL, Europol, and a leading cybersecurity and digital identity protection solutions provider.
 
 
 
 
 
 We are protecting the largest organizations and financial institutions worldwide from online fraud, threat actors and scam campaigns. Our work helps secure the lives of over 300 million users of online banking, ecommerce and e-government portals.
 
 
 
 
 
 Our day-to-day routine consists of cyber fraud cases investigations, deep research on fraud activity and constant development of solution capabilities and detection mechanisms. We invite you to fight cybercrime together with us!
 
 
 
 
 
 
 TASKS TO SOLVE:
 
 
 <ul>
 <li>
 Analyze suspicious events and user sessions for fraud behavior;
 </li>
 <li>
 Successfully utilize the latest technologies of fraud detection and come up with new methods;
 </li>
 <li>
 Participate in the development of a digital identity protection system and fraud detection;
 </li>
 <li>
 Prepare fraud activity reports and conduct research of malicious activity.
 </li>
 <li>
 Support customers with fraud analysis, investigations, and usage of the Fraud Protection Platform;
 </li>
 <li>
 Prepare use cases and anti-fraud strategies for new projects;
 </li>
 <li>
 Supporting the project during the PoC (Proof of Concept) and regular phase;
 </li>
 <li>
 Conducting presentations and training sessions;
 </li>
 <li>
 Configuring new projects and developing custom anti-fraud logic.
 </li>
 </ul>
 
 
 
 
 
 APPLY FOR THIS VACANCY IF YOU HAVE THE FOLLOWING QUALIFICATIONS:
 
 
 <ul>
 <li>
 Have experience in the financial sector (banking, payment systems, fintech, fraud prevention, and risk management);
 </li>
 <li>
 Have experience in data visualization and presentation preparation;
 </li>
 <li>
 Good communication and presentation skills, problem-solving, strong analytical skills, and great computer skills;
 </li>
 <li>
 Proficiency in Python and data analysis frameworks (pandas, NumPy);
 </li>
 <li>
 Experience working with databases;
 </li>
 <li>
 Basic knowledge of the web and mobile applications technologies.
 </li>
 </ul>
 
 
 
 
 
 WHAT ELSE WE APPRECIATE IN OUR TEAM:
 
 
 <ul>
 <li>
 Basic knowledge of ML;
 </li>
 <li>
 Proficiency in data visualization frameworks/tools (Plotly, Dash, Matplotlib);
 </li>
 <li>
 Knowledge of graph analysis techniques for fraud detection;
 </li>
 <li>
 Familiarity with API integration for fraud prevention tools;
 </li>
 <li>
 Strong skills in preparing and delivering presentations.
 </li>
 </ul>
 
 
 
 
 
 WHY CHOOSE GROUP-IB
 
 
 <ul>
 <li>
 
 Your happiness is important to us.
 
 We want every single team member to be happy.
 </li>
 <li>
 
 Continuing professional development.
 
 At Group-IB, you can choose from various paths to growth: progress as an expert, advance to a management position, try your hand in another department, relocate abroad, or launch a new business area at Group-IB.
 </li>
 <li>
 
 A team with extensive international expertise.
 
 Do you have experience but are looking for exciting challenges? By choosing us, you will be choosing complex tasks and continuously improving your skills in a fast-growing international company.
 </li>
 <li>
 
 Globally recognized technologies.
 
 Group-IB's members are located in 25 countries and our products and services are sold in 60 countries. What&rsquo;s more, Gartner, IDC, and Forrester have ranked our technologies among the best in their class. We work with over 450 international partners and about 500 clients.
 </li>
 <li>
 
 A culture created by each of us.
 
 Group-IB&rsquo;s employees speak many different languages and understand one another. We respect each other's beliefs, share common values, and strive toward the happiness of every employee.
 </li>
 <li>
 
 Economic stability.
 
 Group-IB's sustainable growth helps rapidly develop careers that would take years to progress as far as most other companies.
 </li>
 </ul>
 
 
 
 
 
 WHAT ELSE YOU SHOULD KNOW
 
 
 <ul>
 <li>
 
 Flexible schedule.
 
 Group-IB does not have fixed working hours. You choose your own schedule. We adhere to the principle advocated by Steve Jobs: &ldquo;We have to work not 12 hours, and head.&rdquo;
 </li>
 <li>
 
 Health.
 
 If anything goes wrong, don&rsquo;t worry &mdash; we offer health insurance.
 </li>
 <li>
 
 Certificates and training courses.
 
 Group-IB specialists hold over 1,000 professional certificates, including CEH, CISSP, OSCP, GIAC, MCFE, BSI, as well as some rare ones that would be a source of pride for experts in forensics, penetration testing, and reverse engineering worldwide. We have an incentive program that helps employees achieve certifications at the company's expense.
 </li>
 <li>
 
 Challenges.
 
 A wide selection of GIB programs helps you improve soft skills, gain new competencies, and receive monetary rewards.
 </li>
 <li>
 
 The initiative is rewarded.
 
 At Group-IB, you can bring your most daring ideas to life. The company encourages technical blogging, writing articles, building sports teams, and other creative activities.
 </li>
 </ul>
</div>

Data Analyst (Fraud Protection)

Datamatics Global Services Ltd

<div>Position Title : Delivery Manager &ndash; Data, BI &amp; AI 
Experience Required: 6&ndash;8 Years (Should be open to Travel) 
Employment Type :Full-Time - Riyadh - Onsite 
 
Job Overview 
We are looking for an experienced Delivery Manager to lead the successful execution and delivery of Data, Business Intelligence (BI), and AI-driven projects. The ideal candidate will have a strong background in managing cross-functional technical teams, driving client engagement, ensuring project governance, and delivering scalable analytics and AI solutions within timelines and budget. 
The role requires a combination of project delivery expertise, stakeholder management, technical understanding, and operational leadership. 
 
Key Responsibilities<ul><li>
Lead end-to-end delivery of Data Engineering, BI, Analytics, and AI/ML projects.</li><li>
Manage project planning, execution, resource allocation, risk management, and delivery governance.</li><li>
Collaborate with business stakeholders, technical teams, architects, and clients to define project scope and delivery roadmap.</li><li>
Ensure successful implementation of data platforms, dashboards, reporting systems, predictive analytics, and AI solutions.</li><li>
Drive Agile/Scrum ceremonies and ensure timely sprint execution and milestone tracking.</li><li>
Monitor project KPIs, delivery quality, utilization, and customer satisfaction.</li><li>
Manage multiple concurrent projects while maintaining delivery excellence.</li><li>
Coordinate with engineering, QA, DevOps, cloud, and analytics teams for seamless project execution.</li><li>
Identify delivery risks, dependencies, and mitigation strategies proactively.</li><li>
Support pre-sales activities including solution discussions, estimations, project planning, and proposal reviews.</li><li>
Establish best practices for delivery management, documentation, reporting, and communication.</li><li>
Mentor team leads and project teams to improve execution efficiency and performance.</li></ul>
Required Skills &amp; Expertise<ul><li>
Proven experience delivering Data, BI, Analytics, and AI/ML projects.</li><li>
Strong understanding of:<ul><li>
Data Warehousing &amp; ETL</li><li>
Business Intelligence platforms</li><li>
Cloud Data Platforms</li><li>
AI/ML solution lifecycle</li><li>
Reporting &amp; Analytics frameworks</li></ul></li><li>
Experience working with tools/technologies such as:<ul><li>
Power BI, Tableau, Looker, or Qlik</li><li>
SQL &amp; Data Modeling</li><li>
Azure, AWS, or GCP</li><li>
Data Lakes / Data Warehouses</li><li>
AI/ML project coordination</li></ul></li><li>
Strong knowledge of Agile, Scrum, and project management methodologies.</li><li>
Excellent stakeholder management and client communication skills.</li><li>
Experience managing distributed or cross-functional technical teams.</li><li>
Ability to handle delivery escalations, priorities, and deadlines effectively.</li></ul>
Preferred Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, Data Science, or related field.</li><li>
PMP, Scrum Master, or Agile certifications are a plus.</li><li>
Exposure to enterprise-scale analytics or AI transformation projects is highly preferred.</li></ul>
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Delivery Manager (Data, BI & AI Projects)

TAWANTECH

<div>We are seeking a Data Modeler / Big Data Engineer to design scalable data architectures and support the bank&rsquo;s enterprise data platform, analytics, and digital transformation initiatives.
Key Responsibilities<ul><li>
Design and maintain enterprise data models for banking data domains.</li><li>
Develop and manage Data Lake and Big Data environments.</li><li>
Build scalable data solutions using Cloudera and Hadoop ecosystems.</li><li>
Implement and manage Apache Iceberg tables and data architectures.</li><li>
Support data governance, metadata management, and data quality initiatives.</li><li>
Collaborate with data engineering, analytics, and business teams.</li><li>
Optimize data performance and scalability.</li></ul> 

Requirements 
<ul><li>
5+ years of experience in data modeling and big data engineering.</li><li>
Strong knowledge of Cloudera Data Platform (CDP).</li><li>
Experience with Hadoop ecosystem technologies (Hive, HDFS, Spark, Impala).</li><li>
Hands-on experience with Data Lakes and Apache Iceberg.</li><li>
Strong SQL and data modeling skills.</li><li>
Experience with enterprise data architecture and governance frameworks.</li></ul>
Preferred Qualifications<ul><li>
Banking or Financial Services experience.</li><li>
Experience supporting enterprise data warehouse modernization initiatives.</li><li>
Knowledge of cloud-based data platforms and modern lakehouse architectures.</li></ul></div>

Data Modeler / Big Data Engineer

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