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senior data scientist (bangkok based, relocation provided) Jobs in Saudi Arabia

senior data scientist (bangkok based, relocation provided)

ai & data engineer

data scientist

Mozn

<div>
 
 About Mozn
 
 
 
 Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it&rsquo;s working to realise 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
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn'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&rsquo;ll d
 
 
 
 
 o
 
 
 
 
 <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'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>
 Plan and execute solutions' development from data gathering to intelligent decision making.
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity.
 
 
 </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 similar fields that require developing ML/AI models. Over 2 years for B.S. degree and over 1 year for M.S.
 </li>
 <li>
 Programming experience over two years in object oriented programming, including data manipulation using Python or other languages.
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability.
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments.
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub.
 </li>
 <li>
 Programming experience in SQL or NoSQL is preferred.
 </li>
 <li>
 Familiarity with big data technologies, such as Spark.
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch.
 </li>
 <li>
 Expertise in Natural Language Understanding and/or Risk Management applications.
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker.
 </li>
 <li>
 Research experience in optimization and natural language processing (NLP).
 
 
 </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

Tecbrix Cloud & AI

<div>
 
 The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.&nbsp;
 
 
 &nbsp;
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 
 Design, develop, and deploy
 
 
 predictive models
 
 
 and
 
 
 advanced analytics solutions
 
 
 for
 
 
 oil &amp; gas applications
 
 
 (production forecasting, reservoir optimization, predictive maintenance, and downstream operations).
 
 </li>
 <li>
 
 Perform data collection, cleaning, transformation, and exploratory analysis on structured and unstructured data.
 
 </li>
 <li>
 
 Build and maintain scalable data pipelines, dashboards, and visualizations to deliver actionable insights to stakeholders.
 
 </li>
 <li>
 
 Collaborate with petroleum engineers, geoscientists, operations teams, and IT to define problems, design solutions, and integrate analytics into business processes.
 
 </li>
 <li>
 
 Ensure high data quality and monitor model performance, retraining and optimizing as needed.
 
 </li>
 <li>
 
 Stay current with emerging tools, techniques, and industry trends in AI/ML, digital oilfields, and predictive analytics.
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Requirements
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in Petroleum Engineering, Computer Science, Data Science, Statistics, or a related field. Master&rsquo;s or PhD preferred.
 
 </li>
 <li>
 
 4&ndash;8 years of experience in data science or machine learning, with
 
 
 proven oil &amp; gas domain expertise.
 
 </li>
 <li>
 
 Strong programming skills in Python, R, and SQL; experience with ML libraries and data visualization tools.
 
 </li>
 <li>
 
 Proven experience handling large, complex data sets (real-time and historical).
 
 </li>
 <li>
 
 Solid knowledge of oil &amp; gas workflows (upstream, reservoir, drilling, production, or downstream).
 
 </li>
 <li>
 
 Strong communication skills with the ability to translate analytics into business impact.
 
 </li>
 <li>
 
 Experience deploying models into production environments.
 
 </li>
 <li>
 
 Must be willing to
 
 
 work on-site in Saudi Arabia
 
 
 and visit field sites as required.
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 
 Advanced degree (MSc/PhD) in data science, applied mathematics, or engineering.
 
 </li>
 <li>
 
 Experience with optimization algorithms, IoT/SCADA systems, and real-time streaming data.
 
 </li>
 <li>
 
 Familiarity with cloud platforms (Azure, AWS, GCP) and big data frameworks (Spark, Hadoop).
 
 </li>
 <li>
 
 Exposure to geospatial, seismic, or reservoir modeling data.
 
 </li>
 <li>
 
 Experience mentoring or leading analytics teams.
 
 </li>
 </ul>
</div>

Salla

<div>
 As a Lead Data Scientist at Salla, you will take a pivotal role in leading our data science initiatives, shaping data strategy, and driving innovation through advanced analytics and machine learning. You will work closely with cross-functional teams to harness the power of data and deliver impactful insights that guide business decisions. Your mastery in data science will enable you to develop and implement sophisticated models and algorithms that solve challenging business problems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead complex data science projects from conception to deployment, focusing on business impact and scalability
 </li>
 <li>
 Mentor and guide junior data scientists, fostering a collaborative learning environment and promoting best practices
 </li>
 <li>
 Collaborate with stakeholders across the organization to identify opportunities for leveraging data and analytics to drive business solutions
 </li>
 <li>
 Design, implement, and optimize machine learning models and advanced analytics frameworks to extract insights from data
 </li>
 <li>
 Stay at the forefront of data science trends and technologies, and continually innovate our approach to data analytics
 </li>
 <li>
 Communicate findings, insights, and recommendations to both technical and non-technical audiences
 </li>
 <li>
 Ensure code quality and maintainability by promoting best practices in software development
 </li>
 <li>
 Ability to work in a fast-paced environment and manage multiple projects simultaneously
 </li>
 <li>
 Master's or PhD in Data Science, Machine Learning, Statistics, or a related quantitative field
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 6+ years of experience in data science, with a proven track record of leading projects and teams
 </li>
 <li>
 Extensive experience in building and deploying machine learning models in production environments
 </li>
 <li>
 Proficiency in programming languages such as Python or R and familiarity with big data frameworks (e.g., Spark, Hadoop)
 </li>
 <li>
 Strong understanding of statistical analysis, predictive modeling, and data mining techniques
 </li>
 <li>
 Experience in mentoring and developing team members
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills
 </li>
 <li>
 Experience with Natural Language Processing (NLP) and computer vision
 </li>
 <li>
 Knowledge of cloud platforms (e.g., AWS, Google Cloud) for deploying data science solutions
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

Lead Data Scientist

EjadTech - إيجاد التقنية

<div>
 
 To analyze large and complex datasets using statistical methods and machine learning algorithms, deriving valuable insights that support strategic decision-making and enhance organizational performance.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Collect, clean, and prepare data from various internal and external sources.
 
 
 Design and build predictive models using Machine Learning and AI techniques.
 
 
 Apply advanced statistical analysis to discover hidden patterns and relationships.
 
 
 Develop interactive dashboards and reports using Business Intelligence tools (Power BI, Tableau).
 
 
 Collaborate with cross-functional teams (IT, Development, Business) to translate needs into analytical solutions.
 
 
 Monitor, validate, and continuously improve model performance.
 
 
 Present findings and provide actionable recommendations to senior management.
 
 
 Stay up to date with the latest trends in data science and emerging technologies.
 
 
 
 
 
 
 Qualifications:
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 
 
 Minimum of 3 years of professional experience in data analysis, data science, or predictive modeling.
 
 
 Proficiency in programming languages (Python, R, SQL).
 
 
 Knowledge of Big Data tools (Hadoop, Spark) is a plus.
 
 
 Strong skills in data visualization and reporting.
 
 
 Excellent analytical thinking and problem-solving abilities.
 
 
 Strong communication skills and ability to work in a team environment.
 
 
 
 
 
 
 Core Skills:
 
 
 
 Statistical Data Analysis
 
 
 Machine Learning &amp; Artificial Intelligence
 
 
 Business Intelligence (BI) Dashboards
 
 
 Database Management (SQL/NoSQL)
 
 
 Data Interpretation &amp; Storytelling for Non-Technical Stakeholders
 
</div>

SALLA

<div>As a Lead Data Scientist at Salla, you will take a pivotal role in leading our data science initiatives, shaping data strategy, and driving innovation through advanced analytics and machine learning. You will work closely with cross-functional teams to harness the power of data and deliver impactful insights that guide business decisions. Your mastery in data science will enable you to develop and implement sophisticated models and algorithms that solve challenging business problems.<h3 class="jobSectionHeader">
Responsibilities</h3><ul>
<li>Lead complex data science projects from conception to deployment, focusing on business impact and scalability.</li>
<li>Mentor and guide junior data scientists, fostering a collaborative learning environment and promoting best practices.</li>
<li>Collaborate with stakeholders across the organization to identify opportunities for leveraging data and analytics to drive business solutions.</li>
<li>Design, implement, and optimize machine learning models and advanced analytics frameworks to extract insights from data.</li>
<li>Stay at the forefront of data science trends and technologies, and continually innovate our approach to data analytics.</li>
<li>Communicate findings, insights, and recommendations to both technical and non-technical audiences.</li>
<li>Ensure code quality and maintainability by promoting best practices in software development.</li>
<li>Ability to work in a fast-paced environment and manage multiple projects simultaneously.</li>
<li>Master's or PhD in Data Science, Machine Learning, Statistics, or a related quantitative field.</li>
</ul>Requirements<ul>
<li>6+ years of experience in data science, with a proven track record of leading projects and teams.</li>
<li>Extensive experience in building and deploying machine learning models in production environments.</li>
<li>Proficiency in programming languages such as Python or R and familiarity with big data frameworks (e.g., Spark, Hadoop).</li>
<li>Strong understanding of statistical analysis, predictive modeling, and data mining techniques.</li>
<li>Experience in mentoring and developing team members.</li>
<li>Excellent analytical, problem-solving, and communication skills.</li>
</ul><ul><li>Experience with Natural Language Processing (NLP) and computer vision.</li>
<li>Knowledge of cloud platforms (e.g., AWS, Google Cloud) for deploying data science solutions.</li>
</ul>Benefits<ul>
<li>Medical Health Insurance</li>
<li>Performance Bonus</li>
<li>Others</li></ul></div>

Jeel

<div>
 
 
 Senior Data Scientist &ndash; Drive AI Innovation at Jeel!
 
 
 
 
 
 
 📍
 
 Location:
 
 Riyadh, Saudi Arabia
 
 
 🏢
 
 Company:
 
 Jeel Digital Innovations (A Subsidiary of Riyad Bank)
 
 
 
 
 
 
 About Jeel Digital Innovations:
 
 
 
 Jeel is more than a tech company &ndash; we are a bold digital movement redefining financial services through AI, data science, and cutting-edge digital products. As a subsidiary of Riyad Bank, Jeel combines start-up agility with the scale and security of a major financial institution.
 
 
 We&rsquo;re building a future where data is not just analysed &ndash; it&rsquo;s activated to solve real-world challenges. If you're passionate about machine learning, intelligent automation, and ethical AI, we want you on our team.
 
 
 
 
 
 
 About the Role:
 
 
 
 As a Senior Data Scientist at Jeel, you&rsquo;ll lead the design, development, and deployment of scalable AI/ML solutions that directly impact customers, internal decision-making, and business outcomes. You&rsquo;ll work across data engineering, MLOps, analytics, and governance &ndash; while exploring the frontier of GenAI, LLMs, and applied data science in fintech.
 
 
 This role isn&rsquo;t just about building models &ndash; it&rsquo;s about shaping the AI strategy of a digitally-ambitious organisation.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 🧠
 
 AI Strategy &amp; Model Development
 
 &ndash; Build and operationalise ML models that solve high-impact business problems using Python, TensorFlow, PyTorch, and Scikit-learn.
 
 
 📊
 
 Data Analytics &amp; Visualisation
 
 &ndash; Deliver predictive insights via tools like Tableau, Power BI, and Apache Superset.
 
 
 🚀
 
 MLOps &amp; Deployment
 
 &ndash; Deploy robust, scalable models via CI/CD, Docker, Kubernetes and cloud platforms (GCP, Azure, AWS).
 
 
 📉
 
 Cost Efficiency &amp; Performance Tuning
 
 &ndash; Optimise data pipelines, AI workloads, and storage costs across cloud-native platforms.
 
 
 🛡️
 
 Ethical AI &amp; Governance
 
 &ndash; Ensure regulatory compliance (SAMA, GDPR, NCA) and promote responsible AI standards.
 
 
 🤝
 
 Cross-Functional Collaboration
 
 &ndash; Work closely with engineers, product owners, and business leaders to embed intelligence into every decision.
 
 
 
 
 
 
 Who We&rsquo;re Looking For:
 
 
 
 ✅
 
 Education
 
 : Bachelor&rsquo;s or Master&rsquo;s in Computer Science, Data Science, AI, Statistics, or related field.
 
 
 ✅
 
 Experience
 
 : 5+ years in data science/ML; hands-on cloud AI deployment; MLOps and big data engineering.
 
 
 ✅
 
 Technical Stack
 
 : Python, R, SQL, Spark, TensorFlow, PyTorch, Scikit-learn, Docker, Kubernetes, GitLab CI, Apache Kafka.
 
 
 ✅
 
 Bonus
 
 : Experience with LLMs, RAG, NLP, and real-time data streaming.
 
 
 ✅
 
 Soft Skills
 
 : Strategic mindset, excellent storytelling, collaboration, and curiosity.
 
 
 
 
 
 
 Why Join Jeel?
 
 
 
 🌍
 
 Impact-Driven AI Work
 
 &ndash; Solve real challenges in fintech and digital banking with ethical, future-ready AI.
 
 
 🏗️
 
 Full-Stack Data Environment
 
 &ndash; Engage across model building, data engineering, deployment, and experimentation.
 
 
 📈
 
 Learn &amp; Grow
 
 &ndash; Continuous learning is in our DNA. Explore LLMs, AutoML, cloud AI, and emerging trends.
 
 
 🤝
 
 A Collaborative Culture
 
 &ndash; Work with mission-driven experts who believe in purpose, autonomy, and excellence.
 
 
 🚀
 
 Shape Tomorrow
 
 &ndash; Your insights will drive innovation across Jeel&rsquo;s next-gen digital products and services.
 
 
 
 
 
 
 Ready to Build the Future of AI at Jeel?
 
 
 
 If you're excited about innovation, passionate about data, and driven to make a difference &ndash; apply now and join us on this journey.
 
</div>

Senior Data Scientist

Devoteam

<div>
 
 
 Company Description
 
 
 
 
 
 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,&nbsp;
 
 
 
 Values:
 
 
 
 1. Respect
 
 
 2. Frankness
 
 
 3. Passion
 
 
 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
 
 
 &nbsp;
 
 
 
 
 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 :&nbsp;
 
 <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&nbsp;
 </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:&nbsp;&nbsp;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>
 
 &nbsp;
 
 
 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&nbsp;
 
</div>

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