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senior data scientist

Mozn

<div>
 <strong>
  About Mozn
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  What You'll Do
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <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

Devoteam

<div>
 <strong>
  Tech for People Unlocks the Future
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Devoteam Culture &amp; Values:
  <br/>
  <br/>
 </strong>
 True innovation is born from a powerful culture, fused with meaningful values.
 <br/>
 <br/>
 <strong>
  Culture:
  <br/>
  <br/>
 </strong>
 <strong>
  Fair and courageous
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Ambition and results
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Learning and innovating
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 <strong>
  Caring and sharing
  <br/>
  <br/>
 </strong>
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 <br/>
 <br/>
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,
 <br/>
 <br/>
 <strong>
  Values:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Respect
  </li>
  <li>
   Frankness
  </li>
  <li>
   Passion
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 <br/>
 <br/>
 To know more about us, please visit: www.devoteam.com
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 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
 <br/>
 <br/>
 Key responsibilities :
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Additional Information
  <br/>
  <br/>
 </strong>
 BU: Data Intelligence
 <br/>
 <br/>
 Senio Level
</div>


RED Global

<div>
 <p>
  Urgent Opportunity- Data Scientist - Contract Opportunity- On-site - 6 months + extension- Full-time- Riyadh, Saudi Arabia
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our international IT Consulting client is looking for Data Scientist as below.
 </p>
 <p>
  Urgent opportunity with Competitive Rates &amp; Immediate Interviews!
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Job Title: Data Scientist
  </li>
  <li>
   Engagement: Full time
  </li>
  <li>
   Location: On-site in Riyadh, Saudi Arabia
  </li>
  <li>
   Languages: Fluent in English
  </li>
  <li>
   Start date: ASAP
  </li>
  <li>
   Contract: 6 months + extension
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills required:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Python- Pytorch
  </li>
  <li>
   LLMs- LLM deployments, LLM Optimizations- LLM finetuning
  </li>
  <li>
   DevOps
  </li>
  <li>
   ML Ops
  </li>
  <li>
   LangChain- AI Agents
  </li>
  <li>
   Excellent problem solving
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Let's connect for more details, please apply on the job post or send me your most updated CV on jdabaas@redglobal.com
 </p>
</div>


Data Scientist

TMC Middle East

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


DatascienceME

<p><b>About the Role</b></p><p>We are looking for a <b>Data Scientist</b> to analyze large datasets and build data-driven solutions that drive business decisions at <b>Datascience</b>. You will use machine learning, statistical analysis, and visualization techniques to uncover insights and improve our operations.</p><p><b>Key Responsibilities</b></p><ul><li>Identify valuable data sources and automate data collection.</li><li>Clean, preprocess, and analyze structured and unstructured data.</li><li>Build predictive models and machine learning algorithms.</li><li>Visualize results using modern BI tools and dashboards.</li><li>Collaborate with cross-functional teams to translate data into actionable insights.</li><li>Recommend strategies to solve complex business problems.</li></ul><p><b>Requirements</b></p><ul><li>Proven experience as a <b>Data Scientist</b> or similar role.</li><li>Strong skills in <b>Python, R, and SQL</b>; familiarity with <b>Scala, Java, or C++</b> is a plus.</li><li>Hands-on experience with <b>machine learning</b>, <b>data mining</b>, and <b>statistical modeling</b>.</li><li>Knowledge of <b>Tableau</b>, <b>Power BI</b>, or similar visualization tools.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (Master&rsquo;s preferred).</li></ul><p><b>Why Join Us</b></p><ul><li>Work on real-world AI and data challenges.</li><li>Collaborative, innovative work environment.</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Are you a Saudi national?</li></ul><p>Education:</p><ul><li>Bachelor's (Required)</li></ul>

Astek

<div>
 <p>
  For one of our client I'm looking for a
  <strong>
   Data Scientist
  </strong>
  . We are on the lookout for a highly skilled individual with a passion for leveraging data to drive evidence-based decision-making.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Design and Implement ML Models
   </strong>
   : Develop machine learning algorithms to tackle complex challenges and improve efficiency.
  </li>
  <li>
   <strong>
    Data Analysis
   </strong>
   : Analyze data to gather insights that drive strategic decisions.
  </li>
  <li>
   <strong>
    Stakeholder Collaboration
   </strong>
   : Work with various stakeholders to grasp business requirements and design appropriate data solutions.
  </li>
  <li>
   <strong>
    Data Pipeline Maintenance
   </strong>
   : Ensure data integrity and availability by developing and maintaining pipelines and databases.
  </li>
  <li>
   <strong>
    Data Visualization
   </strong>
   : Use Power BI to create visualizations and dashboards that communicate findings effectively to diverse audiences.
  </li>
  <li>
   <strong>
    Statistical Validation
   </strong>
   : Conduct statistical analyses to validate the outputs of machine learning models.
  </li>
  <li>
   <strong>
    Industry Awareness
   </strong>
   : Keep up with industry trends and emerging technologies to enhance data capabilities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Education
   </strong>
   : Requires a bachelor&rsquo;s degree in IT, Computer Science, Data Science, or a related field.
  </li>
  <li>
   <strong>
    Experience
   </strong>
   : Proven experience as a Data Scientist, ideally within the healthcare sector.
  </li>
  <li>
   <strong>
    Technical Skills
   </strong>
   :
  </li>
 </ul>
 <p>
  Proficiency in
  <strong>
   Python
  </strong>
  and
  <strong>
   SQL
  </strong>
  .
 </p>
 <p>
  Expertise in data visualization (notably
  <strong>
   Power BI
  </strong>
  ).
 </p>
 <ul>
  <li>
   <strong>
    Machine Learning Knowledge
   </strong>
   : A solid understanding of machine learning concepts and algorithms.
  </li>
  <li>
   <strong>
    Analytical Skills
   </strong>
   : Strong analytical and problem-solving abilities.
  </li>
  <li>
   <strong>
    Communication Skills
   </strong>
   : Ability to communicate and collaborate effectively.
  </li>
 </ul>
 <p>
 </p>
</div>


Capgemini

<div><div><div><p>RIYADH</p><div>
Data Scientist</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Your Role</div></div><div><p>
We are seeking a highly analytical and innovative Data Scientist to join our team. The ideal candidate will be responsible for extracting insights from complex datasets, building predictive models, and supporting data-driven decision-making across manufacturing operations.</p><p><b>
Key responsibilities of this role:</b></p><ul><li>
Collect, clean, and preprocess structured and unstructured data from various sources.</li><li>
Develop and implement statistical models, machine learning algorithms, and data mining techniques.</li><li>
Perform exploratory data analysis to identify trends, patterns, and anomalies.</li><li>
Translate business problems into analytical solutions and communicate findings effectively.</li><li>
Collaborate with cross-functional teams to integrate data science solutions into business processes.</li><li>
Create visualizations and dashboards to present insights to stakeholders.</li><li>
Continuously monitor model performance and update models as needed.</li><li>
Document methodologies, experiments, and results for reproducibility and knowledge sharing.</li></ul></div></div><div><div><div>
Your Profile</div></div><div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>
2&ndash;5 years of experience in data science or advanced analytics, preferably in a manufacturing context.</li><li>
Proficiency in Python, R, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow).</li><li>
Experience with data visualization tools such as Power BI, Tableau, or matplotlib.</li><li>
Strong understanding of statistical analysis, predictive modeling, and data wrangling.</li><li>
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and big data technologies.</li><li>
Excellent problem-solving and communication skills.</li><li>
Experience with Agile/Scrum methodologies is a plus.</li></ul></div></div><div><div><div>
What You&rsquo;ll Love About Working Here
</div></div><div></div><div><div><ul><li><p>Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
</p></li></ul></div><div><ul><li><p>Career Growth Opportunities&mdash;Access diverse roles and career development programs.
</p></li></ul></div><div><ul><li><p>Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
</p></li></ul></div></div></div></div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
284565-en_US</div></div><div><div>
Posted on</div><div>
17 Jul 2025</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Fixed Term Contract</div></div><div><div>
Location</div><div>
RIYADH</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

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