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data scientist

Kanz

<div>
 
 Company Description
 
 
 
 Kanz is partnering with hassan+wac to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
 
 
 Company Name: hassan+wac
 
 
 
 Job Description
 
 
 
 We are seeking a highly skilled and analytical Data Scientist to join our dynamic team. In this role, you will leverage advanced statistical and machine learning techniques to transform complex data into actionable insights that drive business growth and innovation. You will work with diverse datasets to solve challenging business problems and contribute to strategic decision-making processes.
 
 
 
 Job Purpose
 
 
 
 The primary purpose of this Data Scientist role is to extract meaningful insights and actionable intelligence from complex, often unstructured data to solve business problems, drive strategic decisions, and create predictive models that optimize business outcomes and support data-driven decision making across the organization.
 
 
 
 Job Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Statistical Analysis
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Python Programming
 </li>
 <li>
 R Programming
 </li>
 <li>
 Data Wrangling
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Communication Skills
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Business Problem Solving
 </li>
 <li>
 Strategic Decision Making
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Statistical Analysis
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 Python Programming
 </li>
 <li>
 R Programming
 </li>
 <li>
 Data Wrangling
 </li>
 <li>
 Data Visualization
 </li>
 <li>
 Communication Skills
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Business Problem Solving
 </li>
 <li>
 Strategic Decision Making
 </li>
 </ul>
</div>

Data Scientist

Emdad By Elm

<div>
 
 
 Data Scientist
 
 
 
 
 
 
 
 Job Description:
 
 
 
 The Data Scientist is responsible for analyzing, modeling, and interpreting complex datasets to generate actionable insights and support data-driven decision-making. The role focuses on developing statistical models, machine learning algorithms, and analytical solutions that enhance organizational performance, optimize products and services, and enable strategic planning.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from multiple sources.
 </li>
 <li>
 Analyze large datasets to identify trends, patterns, and insights that support business and strategic objectives.
 </li>
 <li>
 Design, develop, and validate statistical models and machine learning algorithms.
 </li>
 <li>
 Build predictive and prescriptive analytics solutions to support decision-making.
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into analytical solutions.
 </li>
 <li>
 Develop data visualizations, dashboards, and reports to communicate findings to technical and non-technical stakeholders.
 </li>
 <li>
 Evaluate model performance and continuously improve accuracy, robustness, and scalability.
 </li>
 <li>
 Ensure data quality, integrity, and consistency across analytical outputs.
 </li>
 <li>
 Apply best practices in data governance, privacy, and ethical use of data.
 </li>
 <li>
 Document methodologies, models, and analytical processes.
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in Data Science, Artificial Intelligence, Statistics, or a related discipline is preferred.
 </li>
 <li>
 Minimum of
 
 2&ndash;5 years
 
 of experience in data analysis, data science, or applied machine learning.
 </li>
 <li>
 Strong proficiency in programming languages such as Python or R.
 </li>
 <li>
 Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
 </li>
 <li>
 Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Solid understanding of statistical analysis, probability, and hypothesis testing.
 </li>
 <li>
 Experience with SQL and working with relational and non-relational databases.
 </li>
 <li>
 Ability to communicate complex analytical concepts clearly to non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Competencies:
 
 
 <ul>
 <li>
 Data Analysis and Statistical Modeling
 </li>
 <li>
 Machine Learning and Predictive Analytics
 </li>
 <li>
 Problem-Solving and Critical Thinking
 </li>
 <li>
 Data Visualization and Storytelling
 </li>
 <li>
 Stakeholder Collaboration
 </li>
 <li>
 Attention to Detail and Data Quality
 </li>
 <li>
 Time Management and Prioritization
 </li>
 <li>
 Ethical Data Usage and Privacy Awareness
 </li>
 </ul>
 
 
 
 
 
 Expected Outcomes:
 
 
 <ul>
 <li>
 Actionable insights that support strategic and operational decision-making.
 </li>
 <li>
 Reliable and scalable data models that improve efficiency and performance.
 </li>
 <li>
 Improved data-driven culture across the organization.
 </li>
 <li>
 Measurable impact through analytics and predictive insights.
 </li>
 </ul>
</div>

MOZN

<div>
 
 About Mozn
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We&rsquo;re a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you&rsquo;re passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About The Role
 
 
 
 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>
 3-5 years of 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>

Artefact

<div>
 
 Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we&rsquo;re enjoying skyrocketing growth.
 
 
 
 
 
 The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner&hellip;
 
 
 
 
 
 
 What you will be doing?
 
 
 
 As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.
 
 
 Your responsibilities will include:
 
 <ul>
 <li>
 Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
 </li>
 <li>
 Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
 </li>
 <li>
 Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
 </li>
 <li>
 Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
 </li>
 <li>
 Utilising Spark &amp; Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.
 </li>
 </ul>
 
 
 
 
 
 What we are looking for?
 
 
 <ul>
 <li>
 2-5 years: Data Engineer
 </li>
 <li>
 Proficiency in Python, SQL, and database management.
 </li>
 <li>
 Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark &amp; Kafka.
 </li>
 <li>
 Proven problem-solving skills and a solution-oriented mindset.
 </li>
 <li>
 Experience working with business stakeholders either internally or externally
 </li>
 <li>
 Excellent communication skills to collaborate effectively within teams and with stakeholders.
 </li>
 <li>
 Strong business acumen with an interest in business-facing roles.
 </li>
 <li>
 Adaptability and a start-up mentality to thrive in a dynamic environment.
 </li>
 <li>
 Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.
 </li>
 </ul>
 
 
 
 
 Artefact is the place to be: come and build the future of data and AI
 
 
 
 
 
 
 Innovation:
 
 We have a passion for creating impacting projects and believe innovation can come from anyone.
 
 
 
 Action:
 
 We make things rather than telling people how to make them.
 
 
 
 Collaboration:
 
 We believe in bringing talented people together, winning together, and in learning from each other.
 
</div>

Data Engineer

Salehiya Healthcare

<div>
 
 
 About Us:
 
 
 
 Salehiya started commercial activities in 1964 as a specialized healthcare company. It is one of the leading Saudi Arabian companies in distributing pharmaceuticals, medical and laboratory equipment, diagnostics, medical disposables, and hospital and consumer supplies. The company kept pace with the rapid development of the health sector in Saudi Arabia and gradually evolved to meet the needs and demands of a constantly growing market.
 
 
 
 
 
 Salehiya is based in three major cities: Riyadh, Jeddah, and Dammam. It also has branches around the kingdom to cover the whole market and provide prompt and efficient client services, with over 1000 workforce.
 
 
 
 
 
 For more information, you can visit our website: www.salehiya.com
 
 
 
 
 
 
 Why Work with Us:
 
 
 
 Salehiya Healthcare is committed to creating a diverse and inclusive workplace where all employees are valued and respected. We believe in fostering a culture that encourages creativity and innovation, particularly in technology. We utilize the latest tools in our field and stay ahead of industry trends. Our comprehensive training programs and mentorship opportunities are designed to support professional growth and development. We prioritize maintaining a welcoming atmosphere for everyone.
 
 
 
 
 
 The core values that guide our people derive from our purpose to elevate the healthcare experience in the kingdom.
 
 
 
 
 
 
 Job Purpose:
 
 
 
 We are seeking a detail-oriented and curious
 
 Data Analyst
 
 to support our team by turning data into meaningful insights. This role involves collecting, analyzing, and reporting data to help guide better business decisions.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and organize data from multiple sources
 </li>
 <li>
 Analyze data to identify trends, patterns, and key insights
 </li>
 <li>
 Build and maintain reports and dashboards using Excel
 </li>
 <li>
 Prepare clear, impactful presentations using PowerPoint to communicate findings
 </li>
 <li>
 Collaborate with team members to support ongoing data needs
 </li>
 <li>
 Ensure the accuracy, consistency, and reliability of data used in reporting
 </li>
 </ul>
 
 
 Qualifications:
 
 
 
 
 Minimum Qualifications:
 
 
 
 Bachelor&rsquo;s degree in any field.
 
 
 
 Minimum Experience:
 
 
 
 2-5 years' experience in people data analysis.
 
 
 
 Skills:
 
 
 <ul>
 <li>
 English fluency
 </li>
 <li>
 Advanced knowledge of Microsoft Excel
 </li>
 <li>
 Strong skills in Microsoft PowerPoint for data storytelling and presentation design
 </li>
 <li>
 High attention to detail and a methodical approach to analysis
 </li>
 <li>
 Good written and verbal communication skills
 </li>
 <li>
 Ability to work collaboratively and manage time effectively
 </li>
 </ul>
</div>

People Data Analyst

Takamol Holding

<div>
 
 Job Description
 
 
 
 We are seeking a highly analytical and detail-oriented Data Analysis Senior Specialist to join our Advanced Analyitcs unit. The role focuses on fraud detection analytics, risk pattern identification, and delivering actionable insights that support data-driven decision-making.
 
 
 The successful candidate will work closely with internal teams and external stakeholders to analyze complex datasets, detect anomalies, develop monitoring frameworks, and produce high-quality reports and insights.
 
 
 This role requires strong analytical thinking, business acumen, and the ability to translate complex data findings into clear, impactful communication.
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Analyze large and complex datasets to identify fraud patterns, anomalies, and risk indicators
 </li>
 <li>
 Develop and maintain fraud detection reports, dashboards, and monitoring frameworks
 </li>
 <li>
 Support the design and refinement of detection logic, thresholds, and analytical models
 </li>
 <li>
 Perform deep-dive investigations on suspicious behaviors and emerging patterns
 </li>
 <li>
 Translate analytical findings into clear, structured insights and executive-ready reports
 </li>
 <li>
 Collaborate with cross-functional teams to improve detection accuracy and reduce false positives
 </li>
 <li>
 Present findings and recommendations to internal stakeholders and external clients
 </li>
 <li>
 Contribute to continuous improvement of analytics processes, data quality, and reporting standards
 
 
 </li>
 </ul>
 
 Job Requirements
 
 
 
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 4&ndash;6 years of experience in data analysis, fraud analytics, risk analytics, or related fields
 </li>
 <li>
 Experience working with large datasets in structured environments
 
 
 </li>
 </ul>
 
 
 Technical Skills
 
 
 
 
 <ul>
 <li>
 Strong SQL skills (data extraction, aggregation, joins, window functions)
 </li>
 <li>
 Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.)
 </li>
 <li>
 Proficiency in Excel for analytical tasks
 </li>
 <li>
 Experience with Python or R for data analysis is a plus
 </li>
 <li>
 Understanding of anomaly detection, risk metrics, or fraud analytics concepts is preferred
 
 
 </li>
 </ul>
 
 
 Core Competencies
 
 
 
 
 <ul>
 <li>
 Strong analytical and critical thinking skills
 </li>
 <li>
 High attention to detail and data accuracy
 </li>
 <li>
 Ability to structure ambiguous problems into measurable analytical approaches
 </li>
 <li>
 Strong written and verbal communication skills
 </li>
 <li>
 Ability to present technical insights in a clear, business-friendly manner
 </li>
 <li>
 Proactive mindset with a continuous improvement attitude
 </li>
 </ul>
</div>

Data Analysis Senior Specialist

Capco

<div>Please note we are looking to speak to individuals already based in the Riyadh/Dubai as a first priority.

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco&rsquo;s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent.

Location: Riyadh/Dubai (On-site) | Practice Area: Data &amp; AI | Type: Permanent

The Role 
As a Managing Principal / Director &ndash; Data Lead, you&rsquo;ll play a pivotal role in growing Capco&rsquo;s Data &amp; Analytics capability in Riyadh. This is a senior, hands-on leadership position that blends delivery ownership with market development. You&rsquo;ll lead high-impact data programmes for major clients while actively contributing to sales activity, account growth, and the expansion of Capco&rsquo;s footprint in the region.

What You&rsquo;ll Do
<ul>
<li>Lead end-to-end delivery of complex data and analytics engagements, remaining hands-on enough to guide technical direction and outcomes</li>
<li>Act as a trusted senior advisor to client stakeholders, translating business objectives into scalable data solutions</li>
<li>Drive business development activity, supporting proposals, shaping client opportunities, and building long-term client relationships</li>
<li>Build and grow Capco&rsquo;s Data &amp; Analytics presence in Riyadh, contributing to capability development and local market strategy</li>
<li>Mentor and develop teams, fostering an inclusive, high-performing environment aligned to Capco values</li>
</ul>
What We&rsquo;re Looking For
<ul>
<li>Experience in leading Consulting firms</li>
<li>10+ years&rsquo; practical experience in data, analytics or AI roles with significant, demonstrable exposure to the financial services industry</li>
<li>Senior leadership experience delivering large-scale data and analytics programmes within consulting or complex client environments</li>
<li>Strong technical grounding across data platforms, architecture, and analytics, with the ability to engage credibly in delivery discussions</li>
<li>Excellent stakeholder management skills, with confidence working at executive level</li>
<li>Demonstrable consulting background and experience in delivery or sales, account growth and client development.</li>
</ul>
Bonus Points For
<ul>
<li>Experience working in or across Middle Eastern markets</li>
<li>Background in financial services or adjacent regulated industries</li>
<li>Experience shaping new market offerings or growing regional practices</li>
<li>Native Arabic speaker</li>
</ul>
Why Join Capco
<ul>
<li>Deliver high-impact data and analytics solutions for leading organisations</li>
<li>Play a key role in growing Capco&rsquo;s Data &amp; AI in the Middle East</li>
<li>Work in a collaborative, flat, and entrepreneurial consulting culture</li>
</ul>
Inclusion at Capco 
We&rsquo;re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know &ndash; we&rsquo;ll be happy to help. We value each person&rsquo;s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration &ndash; a mindset that shapes how we work with clients and each other every day.</div>

Senior Manager/Director - Data Lead

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663 data scientist jobs In Room Dining Four Seasons Hotel Riyadh Jobs In Riyadh

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Senior Manager/Director - Data Lead