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data scientist

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>

Data Scientist

atmaal

<div>
 <ul>
 <li>
 
 Data Scientist
 
 </li>
 </ul>
 
 
 
 
 Location: Riyadh, Saudi Arabia (On-site)
 
 
 
 
 
 A Data Scientist is at the forefront of turning data into actionable intelligence through advanced analytics, machine learning, and Gen AI capabilities. They work closely with business stakeholders to solve complex problems, identify trends, and drive strategic decisions through predictive and prescriptive modeling, and other advanced analytics techniques.
 
 
 
 
 <ul>
 <li>
 
 Department
 
 </li>
 </ul>
 
 
 
 
 Digital (Advanced Analytics CoE)
 
 
 
 
 <ul>
 <li>
 
 Years of Experience
 
 </li>
 </ul>
 
 
 
 
 5-10 years of proven experience in Data Science, Machine Learning, or Advanced Analytics &mdash; including hands-on work with cloud-based data platforms, predictive modeling, and visualization tools.
 
 
 
 
 <ul>
 <li>
 
 Key Responsibilities
 
 </li>
 </ul>
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to uncover patterns and anticipate future trends.
 
 
 &bull; Leverage prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply NLP techniques for use cases like sentiment analysis, text classification, and entity extraction from unstructured data sources.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, identify anomalies, and discover hidden patterns that can drive further analysis.
 
 
 &bull; Utilize Gen AI capabilities for tasks like content summarization, code generation, and automated extraction of meaningful insights from large volumes of text.
 
 
 &bull; Develop and deploy analytical solutions using platforms like Vertex AI for model development, and Power BI for insight visualization, ensuring seamless integration with business workflows.
 
 
 &bull; Communicate complex analytical findings through intuitive visualizations and storytelling techniques that resonate with technical and non-technical audiences.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to promote reproducibility and transparency across the data science lifecycle.
 
 
 
 
 
 ⸻
 
 
 
 
 
 Expertise Required
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Vertex AI
 
 
 &bull; Python
 
 
 &bull; Strong technical proficiency and business acumen
 
</div>

Emdad By Elm

<div>
 
 
 Job Description:
 
 
 
 The Data Scientist will play a pivotal role in transforming business objectives into actionable data-driven insights. This mid-career position demands a proactive individual equipped with strong analytical capabilities, programming proficiency, and a deep understanding of statistical modeling. The successful candidate will leverage large datasets to address complex business challenges, utilizing machine learning algorithms, data mining techniques, and predictive analytics. The candidate will also engage in cross-functional collaborations, presenting findings to stakeholders, and effectively communicating technical concepts to non-technical audiences. Continuous learning and adaptation to emerging technologies will be essential to enhance the organization's data analytics framework.
 
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 3+ years in data science/analytics with large datasets.
 </li>
 <li>
 Proficiency in Python/R/SQL; strong statistics and hypothesis testing.
 </li>
 <li>
 Hands-on ML (classification/regression/clustering) with models deployed to production and iteratively improved.
 </li>
 <li>
 Data visualization for decision-making (Tableau/Power BI/Matplotlib).
 </li>
 <li>
 Strong communication skills for non-technical audiences.
 </li>
 <li>
 Nice to have: Cloud (AWS/GCP/Azure) and/or Big Data (Hadoop/Spark).
 </li>
 </ul>
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Build ML models; run EDA to uncover patterns and anomalies.
 </li>
 <li>
 Partner with Product/IT/Business to define analytics objectives.
 </li>
 <li>
 Deliver interactive dashboards and KPIs for leadership.
 </li>
 <li>
 Improve data capture quality; document methods and results.
 </li>
 <li>
 Mentor junior team members; adopt emerging best practices.
 </li>
 <li>
 Ensure data privacy/ethics and help evaluate analytics tools.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Python/R with pandas, NumPy, scikit-learn.
 </li>
 <li>
 SQL, database querying/extraction.
 </li>
 <li>
 Deep learning frameworks (TensorFlow/Keras) for advanced use cases.
 </li>
 <li>
 Basic project management: prioritization, timelines, deadlines.
 </li>
 <li>
 High integrity and confidentiality with sensitive data.
 </li>
 </ul>
 
 
</div>

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>

Capgemini Engineering

<div>
 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.
 
 
 Your Role
 
 
 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.
 
 
 
 Key Responsibilities Of This Role
 
 
 
 <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>
 Your Profile
 
 
 <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>
 
 What You&rsquo;ll Love About Working Here
 
 
 
 <ul>
 <li>
 Flexible Work Arrangements&mdash;Work remotely or adjust work hours for a balanced lifestyle.
 </li>
 <li>
 Career Growth Opportunities&mdash;Access diverse roles and career development programs.
 </li>
 <li>
 Training &amp; Certifications&mdash;Equip yourself with valuable certifications in emerging technologies.
 
 
 </li>
 </ul>
 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.
</div>

MBC GROUP

<div>
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 
 Model Development &amp; Implementatio
 
 n: Design, build, and deploy machine learning models to solve complex business problems. These may include predictive analytics, recommendation systems, anomaly detection, classification, and other machine learning tasks
 </li>
 <li>
 
 .AI Solution
 
 s: Create and optimize AI-driven solutions that can automate processes, improve decision-making, and enhance user experiences across various business functions
 </li>
 <li>
 
 .Data Analysis &amp; Exploratio
 
 n: Conduct thorough analysis of large datasets to uncover patterns, trends, and insights that inform business strategies and model development
 </li>
 <li>
 
 .Collaborative Problem Solvin
 
 g: Partner with business stakeholders to understand their goals and challenges, and translate these into data-driven solutions and models that align with the organization&rsquo;s objectives
 </li>
 <li>
 
 .Model Optimizatio
 
 n: Continuously monitor, fine-tune, and improve the performance of machine learning models through evaluation, experimentation, and iteration
 </li>
 <li>
 
 .Scalability &amp; Performanc
 
 e: Ensure that AI models and solutions can scale effectively in production environments, handling large volumes of data while maintaining high performance and reliability
 </li>
 <li>
 
 .Stay Current with AI Trend
 
 s: Keep up-to-date with the latest advancements in AI, machine learning, and data science to propose innovative techniques and technologies that can drive competitive advantage
 </li>
 <li>
 
 .Reporting &amp; Communicatio
 
 n: Present findings, model results, and actionable insights to both technical and non-technical stakeholders, ensuring clarity and alignment on business impacts
 </li>
 </ul>
 
 
 
 
 
 .
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 :
 
 Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related fie
 </li>
 <li>
 ld.Proven experience (5+ years) as a Data Scientist, with a focus on machine learning, AI, and advanced analyti
 </li>
 <li>
 cs.Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholde
 </li>
 <li>
 rs.Strong proficiency in programming languages such as Python, R, or simil
 </li>
 <li>
 ar.Hands-on experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Keras) and tools for model development, training, and evaluati
 </li>
 <li>
 on.Expertise in data manipulation and analysis using tools like Pandas, NumPy, SQL, or simil
 </li>
 <li>
 ar.Solid understanding of statistical methods, hypothesis testing, and data modeling techniqu
 </li>
 <li>
 es.Experience with cloud platforms (e.g., AWS, Azure, GCP) and deploying models in cloud environments is a pl
 </li>
 </ul>
 
 
 
 us.
</div>

Salla

<div>
 We are looking for a Data Scientist to design and develop Machine Learning (ML) models in different domains to find patterns from wide-variety types and large amounts of datasets. You will use mainly Deep Learning techniques (and other ML techniques) to solve different problems in Recommendation Engines, Chatbots, Natural Language Processing (NLP) and other domains. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze raw data: assessing quality, cleansing, preprocessing, structuring for downstream processing
 </li>
 <li>
 Conduct research and development activities, data exploration and discovery using Data Science and Machine Learning (ML) practices
 </li>
 <li>
 Develop, apply, test and implement Data Science and ML models for a wide variety of datasets gathered from different data sources such as Online market places, e-commerce platforms, social media, and web sources
 </li>
 <li>
 Design and develop accurate and scalable ML models in different domains and applications, which include, but not limited to, Recommendation engines, Chatbots, NLP, text mining, text-based feature selection/representation, optimization and predictive modeling
 </li>
 <li>
 Utilize a variety of tools and approaches to solve complex business objectives, from Recommendation Engines, Chatbots, Natural Language Processing (NLP), Machine Learning/ Deep Learning, Image Processing, Speech Processing, Rule-Based Learning and Knowledge Graphs
 </li>
 <li>
 Design new service offerings and solutions in E-Commerce and different fields
 </li>
 <li>
 Keep up to date with latest trends and technologies in the data science and ML fields
 </li>
 <li>
 Work closely with Data Engineers in data related requests, and Data Quality Assurance Officers in data integrity issues
 </li>
 <li>
 Work closely with Business Analysts and product development teams to understand and implement their requirements
 </li>
 <li>
 Collaborate with big data and software developers to translate ideas, models and prototypes into full-fledged solutions
 </li>
 <li>
 Work closely with cross-functional teams to identify challenges and problems and suggest potential AI solutions
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.); graduate degree in Data Science or other quantitative field is preferred
 </li>
 <li>
 At least 4 - 5 years' of experience as a data scientist (quantitative analytics and data modeling)
 </li>
 <li>
 Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
 </li>
 <li>
 Experience in ML applications and domains (Recommendation Engines, NLP, Language Models and Chatbots experience is preferred)
 </li>
 <li>
 Strong knowledge and hands-on experience with large language models (LLMs), including model selection, fine-tuning, deployment, and prompt engineering for real-world applications
 </li>
 <li>
 Experience in Deep Learning algorithms and techniques
 </li>
 <li>
 Proficiency in Python (other languages such as Shell Scripts, C++, .Net, Java, Matlab, R,...etc are preferred).-
 </li>
 <li>
 Experience in Python libraries (Tensorflow, Keras, Pandas, Sklearn)
 </li>
 <li>
 Excellent in Algorithms and Object-Oriented programming
 </li>
 <li>
 Familiarity with database technology (design and implementation) and query language
 </li>
 <li>
 Familiarity with Big Data frameworks and visualization tools (ElasticSearch, Cassandra, Hadoop, Spark) is preferred
 </li>
 <li>
 Strong organizational and project management skills
 </li>
 <li>
 Good problem-solving skills
 </li>
 <li>
 Excellent communication and presentation skills
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Medical Health Insurance
 </li>
 <li>
 Performance Bonus
 </li>
 <li>
 Others
 </li>
 </ul>
</div>

Senior Data Scientist

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