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Mozn

<div>
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realize Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organizations, as well as many large corporations and startups.We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.
 
 
 
 About The Role
 
 
 
 The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Senior Data Scientist position would be specialized in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti-Money Laundering (AML) initiatives. As a Senior Data Scientist, you will play a critical role in developing and implementing advanced analytics models and techniques to detect and prevent fraudulent activities and mitigate AML risks.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead initiatives to develop and implement strategies for fraud detection and AML.
 </li>
 <li>
 Interact heavily with SME as well as Enterprise clients.
 </li>
 <li>
 Understand pain points and gaps, build a project plan with clear deliverables and execute on it.
 </li>
 <li>
 Plan, research and experiment customized project-based solutions.
 </li>
 <li>
 Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
 </li>
 <li>
 Plan and execute towards the training of ML models then deploying them.
 </li>
 <li>
 Help shape the roadmap for the development of our fraud and AML solutions.
 </li>
 <li>
 Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master's degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
 </li>
 <li>
 At least 5 years experience in leading advanced data science projects.
 </li>
 <li>
 A minimum of 3 years in client facing engagements in the field of fraud prevention and AML.
 </li>
 <li>
 Strong communication skills to collect insights from clients, share and present findings.
 </li>
 <li>
 Proficient in handling and analysing large datasets using SQL and Python.
 </li>
 <li>
 Hands-on experience in data extraction, visualisation, analysis, and transformation.
 </li>
 <li>
 Expert in building and maintaining advanced ML and statistical models, experience in graph analytics and using graph networks will be advantageous.
 </li>
 <li>
 Skilled in utilising databases, data warehousing, data modelling techniques and feature generation / feature engineering.
 </li>
 <li>
 Ability to create and manage complex multi-stage data pipelines.
 </li>
 <li>
 Experience in building fraud detection models, or consulting on fraud detection / fraud prevention systems or AML is highly advantageous.
 </li>
 <li>
 Proficiency in English language is required and preferably in Arabic languages.
 </li>
 <li>
 Excellent verbal and written communication skills.
 </li>
 <li>
 Excellent problem-solving skills, attention to detail, and adaptability
 
 
 </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>

Senior Data Scientist

CodeNinja Inc.

<div>
 
 About The Company
 
 
 
 Aligned with Saudi Arabia's Vision 2030, we harness the Kingdom's rapidly developing talent and technological advancements to support economic diversification and drive industry transformation through cutting-edge AI, computer vision, and automation. Our solutions are strategically designed to empower startups and enterprises with a competitive edge by leveraging local talent and infrastructure, advancing the region's human capital development. Through ethical innovation and transparency-focused partnerships, we actively contribute to the Kingdom's ambitious objectives, championing a high-tech, sustainable future.
 
 
 
 About The Role
 
 
 
 We are seeking a Senior Data Scientist drive
 
 AI adoption, delivery, and value realization
 
 across business functions. This role sits at the intersection of
 
 business strategy, AI technology, governance, and change management
 
 , requiring both strong stakeholder engagement and hands-on technical understanding. The ideal candidate will translate complex AI concepts into business outcomes, define AI use cases, prioritize roadmaps, and ensure responsible, scalable, and compliant AI implementation.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Engage with business and technical stakeholders to define and drive AI initiatives aligned with organizational goals.
 </li>
 <li>
 Translate complex AI and GenAI concepts into clear, business-friendly language for leadership and end users.
 </li>
 <li>
 Define AI use cases, prioritize roadmaps, and align initiatives with measurable business value.
 </li>
 <li>
 Lead change management, user adoption, training, enablement sessions, and workshops for AI solutions.
 </li>
 <li>
 Define KPIs, measure ROI, and track performance of AI solutions post-implementation.
 </li>
 <li>
 Manage AI programs and projects, including planning, execution, risk management, and issue escalation.
 </li>
 <li>
 Ensure adherence to AI governance, ethics, compliance, and risk management frameworks.
 </li>
 <li>
 Collaborate cross-functionally to resolve issues and continuously improve AI delivery outcomes.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 Strong experience in stakeholder management, business communication, and cross-functional collaboration.
 </li>
 <li>
 Proven ability to drive change management and user adoption for technology initiatives.
 </li>
 <li>
 Experience defining KPIs, measuring ROI, and tracking performance for AI or digital solutions.
 </li>
 <li>
 Strong understanding of AI/ML and GenAI concepts, including LLMs, RAG, and prompt engineering.
 </li>
 <li>
 Hands-on experience with Python, SQL, and machine learning frameworks.
 </li>
 <li>
 Experience with MLOps, cloud platforms, and model lifecycle management.
 </li>
 <li>
 Knowledge of data engineering fundamentals, data pipelines, and analytics workflows.
 </li>
 <li>
 Understanding of solution architecture, APIs, microservices, and system integrations.
 </li>
 <li>
 Strong problem-solving, project management, and program management capabilities
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Lead high-impact AI and GenAI initiatives that directly influence business outcomes.
 </li>
 <li>
 Work at the intersection of strategy, technology, and transformation.
 </li>
 <li>
 Collaborate with global teams across AI, engineering, and business domains.
 </li>
 <li>
 Gain exposure to cutting-edge AI platforms, governance models, and enterprise-scale deployments.
 </li>
 <li>
 Grow into senior leadership roles in AI strategy, transformation, or delivery
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.
</div>

CodeNinja

About the Company
 Aligned with Saudi Arabia’s Vision 2030, we harness the Kingdom’s rapidly developing talent and technological advancements to support economic diversification and drive industry transformation through cutting-edge AI, computer vision, and automation. Our solutions are strategically designed to empower startups and enterprises with a competitive edge by leveraging local talent and infrastructure, advancing the region’s human capital development. Through ethical innovation and transparency-focused partnerships, we actively contribute to the Kingdom’s ambitious objectives, championing a high-tech, sustainable future.
 About the role
 We are seeking a Senior Data Scientist drive AI adoption, delivery, and value realization across business functions. This role sits at the intersection of business strategy, AI technology, governance, and change management, requiring both strong stakeholder engagement and hands-on technical understanding. The ideal candidate will translate complex AI concepts into business outcomes, define AI use cases, prioritize roadmaps, and ensure responsible, scalable, and compliant AI implementation.
 Key Responsibilities
 <ul>
<li>Engage with business and technical stakeholders to define and drive AI initiatives aligned with organizational goals.</li>
<li>Translate complex AI and GenAI concepts into clear, business-friendly language for leadership and end users.</li>
<li>Define AI use cases, prioritize roadmaps, and align initiatives with measurable business value.</li>
<li>Lead change management, user adoption, training, enablement sessions, and workshops for AI solutions.</li>
<li>Define KPIs, measure ROI, and track performance of AI solutions post-implementation.</li>
<li>Manage AI programs and projects, including planning, execution, risk management, and issue escalation.</li>
<li>Ensure adherence to AI governance, ethics, compliance, and risk management frameworks.</li>
<li>Collaborate cross-functionally to resolve issues and continuously improve AI delivery outcomes.</li>
</ul>
Requirements: 
Requirements: 
<ul>
<li>Strong experience in stakeholder management, business communication, and cross-functional collaboration.</li>
<li>Proven ability to drive change management and user adoption for technology initiatives.</li>
<li>Experience defining KPIs, measuring ROI, and tracking performance for AI or digital solutions.</li>
<li>Strong understanding of AI/ML and GenAI concepts, including LLMs, RAG, and prompt engineering.</li>
<li>Hands-on experience with Python, SQL, and machine learning frameworks.</li>
<li>Experience with MLOps, cloud platforms, and model lifecycle management.</li>
<li>Knowledge of data engineering fundamentals, data pipelines, and analytics workflows.</li>
<li>Understanding of solution architecture, APIs, microservices, and system integrations.</li>
<li>Strong problem-solving, project management, and program management capabilities.</li>
</ul>
Why Join Us
 <ul>
<li>Lead high-impact AI and GenAI initiatives that directly influence business outcomes.</li>
<li>Work at the intersection of strategy, technology, and transformation.</li>
<li>Collaborate with global teams across AI, engineering, and business domains.</li>
<li>Gain exposure to cutting-edge AI platforms, governance models, and enterprise-scale deployments.</li>
<li>Grow into senior leadership roles in AI strategy, transformation, or delivery.</li>
</ul>
Disclaimer
 CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.

Devoteam

<div>
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 
 
 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
 
 
 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
 
 
 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 
 
 
 Values:
 
 
 
 <ul>
 <li>
 Respect
 </li>
 <li>
 Frankness
 </li>
 <li>
 Passion
 
 
 
 </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 To know more about us, please visit: www.devoteam.com
 
 
 
 Job Description
 
 
 
 As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success
 
 
 Key responsibilities :
 
 
 <ul>
 <li>
 Identifying relevant data sources for business needs.
 </li>
 <li>
 Processing, cleansing, and Organising data into usable formats.
 </li>
 <li>
 Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends
 </li>
 <li>
 Apply data mining techniques such as association rule discovery, classification, and clustering
 </li>
 <li>
 Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets
 </li>
 <li>
 Transform and preprocess raw data to create meaningful features that can improve model performance.
 </li>
 <li>
 Develop, evaluate, and deploy predictive machine learning models to drive actionable insights.
 </li>
 <li>
 Communicate complex data findings in a clear and concise manner to non-technical stakeholders
 </li>
 <li>
 Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes.
 </li>
 <li>
 Advanced Technical Skills: Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis.
 </li>
 <li>
 Data Manipulation:** Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats.
 </li>
 <li>
 Machine Learning Expertise:** Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.
 </li>
 <li>
 Build conversational AI applications.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, IT or equivalent
 </li>
 <li>
 + 7 year experience within the data science field.
 </li>
 <li>
 Has a strong knowledge and proven experience in following areas: SQL, statistics , machine learning and programming
 </li>
 <li>
 Strong expertise in various supervised and unsupervised machine learning algorithms such as Time Series Forecasting ,regression ,Clustering,Classification and deep learning methods
 </li>
 <li>
 Experience working with Agile methodologies
 </li>
 <li>
 Ability to communicate with both technical and non-technical audiences
 </li>
 <li>
 Excellent English and Arabic communication skills (written &amp; spoken)
 </li>
 <li>
 Analytical mindset and Problem-solving skills
 </li>
 <li>
 Alteryx or Dataiku experience is a must
 </li>
 <li>
 MLOps experience is a plus
 </li>
 <li>
 Practical Knowledge of big data systems is a plus
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 BU: Data Intelligence
 
 
 Senio Level
</div>

<div>
 
 About Mozn
 
 
 
 Mozn is a rapidly growing and leading data science &amp; product development firm based in Riyadh with a proven track record of excellence in supporting and growing the analytics ecosystem in Saudi Arabia. Mozn is a trusted analytics partner for the largest government organizations in Saudi Arabia, as well as many large corporations and startups. We are in a critical stage of scaling the company to build institutional analytics knowledge within Mozn and Saudi Arabia. It is an exciting time to work in Saudi Arabia; through Vision 2030, the rate of social and industrial change is staggering.
 
 
 
 About The Role
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn&rsquo;s Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project/product in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Work with cross-functional teammates from engineering, products, business, and marketing to deliver data-powered solutions.
 </li>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients.
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques.
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn&rsquo;s solutions.
 </li>
 <li>
 Develop data pipelines and ingestion engines for Natural Language Understanding and/or Risk Management; as well as contribute to current engines at Mozn.
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn&rsquo;s efficiency and productivity.
 </li>
 <li>
 Coordinate with internal teams to set up and execute solution development strategies.
 </li>
 <li>
 Overseeing a large technical area of work, defining project priorities, and technical solutions.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics, or similar quantitative fields.
 </li>
 <li>
 Relevant experience as a data scientist, or in similar fields that require developing ML/AI models. Over 3 years for B.S. degree and over 2 years for M.S.
 </li>
 <li>
 Programming experience over two years in software development, including object-oriented programming, and data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Hidden Markov Models, Probabilistic Graphical models, or Bayesian inference.
 </li>
 <li>
 Applied experience in machine learning, such as diagnosing models and modifying loss functions.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Probabilistic Machine Learning applications.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Mozn?
 
 
 
 
 <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>

Senior Data Scientist - Riyadh

Leuwint technologies

We are seeking 9+ years experienced professional who should have the capabilities to manage both technical and non-technical teams.Technical Capabilities<ul><li>Strong understanding of AI/ML and GenAI concepts (LLMs, RAG, prompt engineering).</li><li>Hands-on experience with Python, SQL, and ML frameworks.</li><li>Experience with MLOps, cloud platforms, and model lifecycle management.</li><li>Knowledge of data engineering fundamentals and data pipelines.</li><li>Understanding of solution architecture and system integration (APIs, microservices).</li></ul>Non-Technical Capabilities<ul><li>Strong stakeholder engagement and communication with business and technical teams.</li><li>Ability to translate complex AI concepts into simple business language.</li><li>Change management and user adoption experience (training, enablement, workshops).</li><li>KPI definition, ROI measurement, and performance tracking for AI solutions.</li><li>Ability to define AI use cases, prioritize roadmaps, and align initiatives with business goals.</li><li>Problem-solving, issue escalation, and cross-functional collaboration skills.</li><li>Strong project and program management capabilities.</li><li>Understanding of AI governance, ethics, compliance, and risk management.</li></ul>Location: Riyadh, Saudi Arabia.Job Type: Full-time

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a consulting project with one of the Top Client in KSA.
 
 
 
 
 
 We are seeking a highly capable expert to join our client for this prestigious assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior AI &amp; Data Scientist
 
 
 Location: Onsite &ndash; Riyadh, Saudi Arabia
 
 
 Experience: 10+ Years
 
 
 Department: Data &amp; AI Department
 
 
 
 
 
 TMC is hiring a Lead AI Data Scientist for a strategic digital transformation initiative for a major company in KSA.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 - Expertise in Python, ML frameworks (Scikit-learn, TensorFlow, PyTorch), and data
 
 
 libraries (Pandas, NumPy).
 
 
 - Strong foundation in statistics, machine learning, and applied AI (forecasting, NLP,
 
 
 Internal Only
 
 
 optimization).
 
 
 - Familiarity with containerized deployments (OpenShift, Docker).
 
 
 - Experience building APIs/microservices (FastAPI, Flask) for model integration.
 
 
 - Exposure to cloud ecosystems (Azure, GCP, AWS) is very useful for hybrid or scalable
 
 
 deployments.
 
 
 - Awareness of Generative AI concepts (LLMs, embeddings, RAG, prompt design).
 
 
 - Working understanding of Agile delivery frameworks (Scrum/Kanban).
 
 
 Consulting &amp; Behavioral Skills
 
 
 - Excellent presentation and insight-sharing abilities, capable of explaining complex AI
 
 
 outputs to diverse audiences.
 
 
 - Professional, composed, and business-aware consulting demeanor.
 
 
 - Strong collaboration and documentation discipline within Agile teams.
 
 
 - Demonstrated curiosity and commitment to continuous learning and innovation.
 
 
 - Self-driven, structured, and dependable under PMO governance.
 
 
 
 
 
 - Master&rsquo;s degree in computer science, Data Science, or related field.
 
 
 - 10+ years of professional experience, including 5+ years in AI/ML delivery.
 
 
 - Prior experience in enterprise or industrial AI projects preferred.
 
 
 - Familiarity with OpenShift or hybrid/on-prem MLOps environments is advantageous.
 
</div>

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