d&i data scientist (82940508) Jobs in Kuwait

d&i data scientist (82940508)

data scientist

Alghanim INDUSTRIES

Date: 5 Nov 2025
 
Location: 
KW
 
Company: 
Alghanim Industries
 
Job Summary
 Insight generation by building data mining and statistical models to support C ustomer V alue M anagement (CVM) and Loyalty Program s by translating model outputs into actionable insights for business units Job Responsibilities
 Data Mining & Advanced Analytics model development
 
Actively use built-in data analytics models on CDP, including customer segmentation, churn prediction, propensity modelling and next-best activity; continuous update and adjustment of model parameters and performance tracking of the models on CDP
 
Build advanced predictive analytics models offline by using programming languages such as R, Python, SQL and implement those models to CDP to generate them; score the model in other tools and integrate the results to CDP if the model is too complex to be generated on CDP; leveraging infrastructure including Cloud computing solutions and relational database environments
 
Stay on top of changing conditions by retraining and testing the model regularly; enhance it whenever necessary
 
Monitor models’ accuracy to catch any degradation in its performance over time
 
Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand user interactions
 
Insight generation
 
Actively seek and identify where data science can provide value to business areas across the BUs, provide solutions to BUs analytical problems and validate the solution performance
 
Generate actionable insights and predictive modeling techniques to modify consumer behavior
 
Reporting
 
Active use of built-in reporting tools on CDP; day to day report generation and maintenance using BI tools and be involved in any new tool selection and deployment
 
Engage with stakeholders to ensure that data insights are effectively communicated through the most appropriate data visualization and navigation tools
 
Candidate Requirements • Background in Applied Math, Statistics, Physics, Engineering, or Computer Science; Advanced degree strongly preferred
 
<ul>
<li>3+ years of experience with data science and statistical analysis in a business, marketing</li>
<li>Examples of domain expertise of interest are: predictive modeling, churn analysis, time series forecasting, computer vision, text mining, recommender systems, market basket analysis, segmentation, graph analytics with strong programming skills in Python or R</li>
<li>Experience with dashboard and reporting tools such as Tableau and Qlik</li>
<li>Ability to explain and discuss mathematical and machine learning technicalities to a business audience</li>
</ul>

Data Scientist

<div>
 The D&amp;I Visualization Software Engineer is responsible for developing rich and high-performance interactive graphics, data visualization, 2D/3D renderings, GIS, maps, etc.
 
 
 <ul>
 <li>
 Researchs and develops techniques to interactively visualize large amounts of data in real time.
 </li>
 <li>
 Designs, develops and support interactive data visualizations.
 </li>
 <li>
 Builds prototypes and products.
 </li>
 <li>
 Guide the testing efforts for all visualization tools and components.
 </li>
 <li>
 Develop and execute unit tests to ensure and maintain source code quality.
 </li>
 <li>
 Collaborate effectively in a cross-functional team comprising architects, engineers, quality assurance, project managers and an end user representative.
 
 
 
 </li>
 </ul>
 10yr experiance
</div>

D&I Data Scientist (82940508)

Dar Al Shifa Hospital

<div>Purpose and Scope of the Job

The AI and Data Solutions Specialist play a vital role in advancing Dar Al Shifa Hospital&rsquo;s digital transformation journey toward becoming a fully data-driven organization. This role focuses on transforming complex healthcare data into actionable insights and applying artificial intelligence, automation, and predictive analytics to enhance patient outcomes and operational efficiency.
The ideal candidate will have over four years of experience in data analytics, data warehousing, and healthcare information systems, with strong technical expertise and business intelligence. The specialist will manage the hospital&rsquo;s analytics and AI platforms, develop insightful dashboards, ensure data integrity across systems such as Oracle Health EMR and SAP ERP, and lead initiatives that leverage AI and machine learning for informed decision-making and continuous improvement across clinical, financial, and administrative domains.
Main Duties and Responsibilities/Performance Standards
<div>
<ul><li>Data and Solution Integration:</li></ul>
</div><ul><li>Manage healthcare data pipelines and ensure accurate integration between clinical (Oracle Health/Cerner), administrative (SAP ERP), and external data systems.</li>
<li>Ensure data quality, consistency, and compliance with healthcare data governance standards.</li></ul> 
<div></div>
<div>
<ul><li>Analytics and Insights Development:
</li></ul></div><ul><li>Design, build, and maintain interactive dashboards and analytical models in Power BI and Microsoft Fabric for hospital leadership and department heads.</li>
<li>Develop automated analytics workflows for KPIs covering clinical performance, patient flow, and financial efficiency.</li> 
</ul>
<div></div><div><ul><li>Artificial Intelligence and Predictive Modeling</li></ul>
</div><ul><li>Develop and deploy AI and machine learning models to support predictive insights such as readmission risks, patient satisfaction analysis, and operational forecasting.</li>
<li>Work with Microsoft Azure AI, Copilot Studio, and Fabric to integrate AI-driven automation and decision support tools.</li>
<li>Collaborate with technical teams to design and deploy end-to-end AI solutions that integrate seamlessly into clinical or administrative workflows.</li></ul> 
<div></div>
<div>
<ul><li>Data Governance and Compliance</li></ul>
</div><ul><li>Implement data protection and governance practices in line with hospital IT policies, ensuring compliance with MOH, HIMSS accreditation standards.</li>
<li>Maintain metadata, audit trails, and security controls for all analytics environments.</li></ul> 
<div></div>
<div>
<ul><li>Collaboration and Business Partnering</li></ul>
</div><ul><li>Collaborate with clinical, financial, and operational teams to define analytical needs and transform them into actionable insights.
</li><li>Serve as the hospital&rsquo;s focal point for AI-related initiatives and liaise with vendors, including Microsoft, Oracle Health, and SAP partners.</li>
</ul><div><ul><li>Ensuring quality and patient safety practices are followed.
</li></ul><ul><li>Provides or promotes people&rsquo;s centered care.
</li></ul><ul><li>Promotes inclusive health by providing equitable and accessible care to patients and families with special needs.
</li></ul></div><div>Qualifications, Competencies and Skills</div>
<div>
Education: A Bachelor's or Master's degree in data science, Artificial Intelligence, Computer Science, or related discipline is required.
</div><div>Experience:
</div><ul><li>Minimum 4 years of hands-on experience in healthcare data analytics, AI, or Business Intelligence.</li>
<li>Data Warehousing &amp; Analytics Platforms: Practical experience with modern platforms such as Microsoft Fabric, Azure Synapse, Oracle Autonomous Data Warehouse (ADW), or Snowflake.
</li><li>BI &amp; Visualization Tools: Strong proficiency in Power BI, Oracle Analytics or equivalent visualization platforms.</li>
<li>Database &amp; Modeling: Expert-level SQL skills and experience in data modeling and managing large healthcare data environments.</li>
<li>Cloud Platforms: Experience working with Azure, Oracle Cloud Infrastructure (OCI), or AWS for analytics and AI workloads.</li>
<li>AI &amp; Machine Learning: Familiarity with Python, Azure Machine Learning, and Cognitive Services for developing predictive or automation models.</li>
<li>Healthcare Systems: Understanding clinical and financial data, with experience in Oracle Health/Cerner EMR and SAP ERP.
</li><li>Interoperability Standards: Knowledge of HL7/FHIR, and healthcare data exchange protocols.</li>
<li>Soft Skills: Analytical mindset, clear communication, and ability to translate technical insights into actionable business and clinical value.
</li></ul><div>Language: Well versed in English and Arabic Language will be an added advantage.
</div><div>Computer Proficiency: Excellent Computer Skills, Proficient in MS Office and related software applications.</div>
<div>
Performance Competencies</div>
<ul>
<li>Data Analytics &amp; Reporting: Solid understanding of healthcare data analysis and dashboard development using Power BI or similar tools.</li>
<li>AI &amp; Automation Awareness: Good working knowledge or practical exposure to AI concepts, Microsoft Copilot, or Power Platform automation (Power Automate / Power Apps).
</li><li>Statistical &amp; Analytical Tools: Familiarity with Python, R, or other analytical tools for simple data analysis or trend prediction.</li>
<li>Healthcare Systems Knowledge: Understanding of EMR/EHR systems (preferably Oracle Health/Cerner) and ERP systems like SAP, with the ability to interpret clinical and operational data.</li>
<li>Project Coordination: Experience supporting or coordinating data or AI-related projects, ensuring timely delivery and stakeholder alignment.</li>
<li>Healthcare Standards: General awareness of data standards such as HL7, and local healthcare reporting frameworks (HIMSS).</li>
<li>Communication &amp; Collaboration: Strong teamwork and communication skills, with the ability to translate analytical results into clear, actionable insights for non-technical users.</li>
<li>Ability to work with all types of individuals in multiple settings and locations and to promote diversity in the workplace.
</li><li>Must be able to prioritize and work effectively in a constantly changing environment.
</li></ul>Principle Working Relationships and Remarks
<ul><li>All related departments of the hospital</li>
<li>IT Staff</li></ul></div>

AI and Data Solutions Specialist (Onsite)

<div>
 
 
 Role Objective:
 
 
 
 
 
 
 The purpose of this role is to guide, implement and manage data management functions. It ensures that the data is properly managed, according to the policies and best practices. It focuses on the decisions made about the data and how people and processes are expected to behave in relation to the data.
 
 
 
 
 
 
 Detailed Duties and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop and implement strategic Data Governance principles and practices.
 </li>
 <li>
 Build and maintain a detailed audit of core data systems and information assets that are held in these systems, as well as the teams and processes that use them.
 </li>
 <li>
 Create and maintain ownership accountability of corporate data systems.
 </li>
 <li>
 Develop standards, policies and procedures to support the creation and provide technical. assurance for the on-going implementation of the data governance policy within the business.
 </li>
 <li>
 Manage the delivery of the data governance program.
 </li>
 <li>
 Conduct and manage Data Stewardship Working Group DSWG meeting, once monthly by coordinating with the business and IT to check any data related or process issues for resolving them.
 </li>
 <li>
 Lead and develop teams across KIB to ensure data governance policies and practices are embedded throughout the company.
 </li>
 <li>
 Help establish best practice and ownership of the corporate taxonomy and ontology and develop rules for their use.
 </li>
 <li>
 Align the data governance program to the enterprise information strategy.
 </li>
 <li>
 Embed and align KIB&rsquo;s information security strategy with any data governance programs and initiatives.
 </li>
 <li>
 Use specialist knowledge and expertise to identify improvements through reducing data redundancy and appropriate data reuse.
 </li>
 <li>
 Continually assess and identify risks in line with the KIB risk management approach, ensuring they are mitigated and accounted for work within the data governance programs.
 </li>
 <li>
 Develop and enforce data governance policies and practices across the enterprise.
 </li>
 <li>
 Identify and develop policies and standards that need to be put in place to ensure the role can be carried out effectively and efficiently.
 </li>
 <li>
 Support project planning and management to ensure best practice and legal frameworks are followed with regards to data governance.
 </li>
 <li>
 Document all related processes and procedures based on the required standards and templates.
 </li>
 </ul>
 
 
 
 
 
 Educational Qualifications
 
 :
 
 
 
 
 
 BSc, MSc &ndash; Computer Science or equivalent
 
 
 
 
 
 
 Experience
 
 :
 
 <ul>
 <li>
 10-15 years
 </li>
 </ul>
 
 
 
 
 
 Behavioral Skills:
 
 
 
 
 
 
 
 Commitment, Enthusiastic, respectable self and fast learner.
 
 
 
</div>

Data Quality and Governance Manager

karyan textiles

We are looking for a reliable and detail-oriented Inventory and Data Entry Executive who has strong experience using Odoo or Next ERP. The candidate will be responsible for managing stock, recording transactions, and maintaining accurate data across the ERP system.Responsibilities:<ul><li>Manage daily inventory updates in Odoo or Next ERP</li><li>Enter and verify data for stock, invoices, purchases, and sales</li><li>Track material movement, stock-in, and stock-out</li><li>Prepare inventory reports and alert management for low-stock items</li><li>Coordinate with warehouse, sales, and purchasing teams</li><li>Check product entries, pricing, and item codes in the ERP</li><li>Maintain accurate documentation for all inventory activities</li><li>Ensure data accuracy, correctness, and timely updates</li><li>Assist with basic accounting entries related to inventory</li><li>Support ERP-related tasks and troubleshoot basic issues</li></ul>Requirements:<ul><li>Minimum 1 year of experience in inventory management or data entry</li><li>Hands-on experience in Odoo or Next ERP (must)</li><li>Good understanding of stock management and product tracking</li><li>Proficiency in Excel and computer data entry</li><li>Attention to detail and strong organizational skills</li><li>Ability to work under pressure and meet deadlines</li></ul>Preferred Skills:<ul><li>Experience in warehouse or manufacturing environment</li><li>Knowledge of barcode systems or stock scanning</li><li>Ability to generate detailed reports from ERP</li></ul>Employment Type: Full-time (12 Hours 9AM to 9PM---- One Hour Break 2PM to 3PM) Friday Is OffJob Type: Full-time

Inventory & Data Entry Executive (Odoo / Next ERP Operator)

Euro diwan

Career Objectives: We are looking for a competent and skillful administrative assistant to be responsible for inputting a high volume of data into the database and providing administrative support to the brand manager.Experience: Administrative experience in Kuwait: 2 years (Preferred) Data entry or office related experience : 2 years (Preferred)Diploma or Bachelor&rsquo;s Degree Language: English (Required) and Arabic (Preferred) Great organizational and planning skills Excellent interpersonal skills Strong computer skills Strong written and verbal communication skills High professional conduct, integrity and ethics Experience using Microsoft (Word, Excel, Outlook) and Google (Sheets, Docs, Gmail)Duties &amp; Responsibilities include Inputting data into the company database Converting physical data into digital form Work closely with reporting manager to verify and edit data as needed Perform office related tasks as needed Manage and organize records and files Prepare relevant reports as needed Answer and direct phone calls Organize and schedule meetings and appointments Maintain contact lists Provide general support to visitors Photocopy and print documents on behalf of other colleagues Work closely with the accounting and marketing team to deliver reports to brand manageIf interested, please email joanalyn@eurodiwan.com an updated CV.Job Type: Full-time

Administrative Assistant & Data Entry Clerk

smsa

Role SummaryWe are looking for a motivated and analytical CRM / Sales Analyst to join our Kuwait team. The ideal candidate will manage the company&rsquo;s CRM system, analyze sales performance, monitor sales targets, and design effective incentive and commission programs. This role plays a key part in providing insights and data-driven recommendations that support the growth and performance of the sales organization.Key ResponsibilitiesCRM Management- Maintain and manage the company&rsquo;s CRM system, ensuring data integrity and regular updates.- Segment and profile customers for targeted sales and marketing activities.- Generate CRM-based insights and dashboards for management.- Collaborate with IT and sales teams to enhance CRM functionality and reporting efficiency.Sales Analysis &amp; Reporting- Analyze sales performance across all SMSA business lines (Express, Freight, Land Freight, and Fulfilment).- Prepare accurate and timely sales performance reports (weekly, monthly, and quarterly).- Track KPIs such as revenue growth, customer acquisition, and retention trends.- Support forecasting and budgeting processes through data analysis.Sales Target &amp; Incentive Management- Work with management to define and assign sales targets across the team.- Monitor achievement of sales goals and performance metrics.- Develop, manage, and monitor sales incentive and commission programs.- Coordinate with Finance and HR to ensure accurate calculation and payout of commissions.- Provide insights to refine targets and improve team motivation and productivity.Business Insights &amp; Process Improvement- Identify customer and market trends to support decision-making and growth.- Recommend improvements to CRM workflows and reporting structures.- Support the sales team with training and guidance on CRM tools and best practices.- Ensure compliance with company data privacy and security policies.Qualifications &amp; Experience- Bachelor&rsquo;s degree in Business Administration, Data Analytics, Marketing, or related field.- Minimum 3 years of experience in CRM management, sales reporting, or business analytics (preferably in logistics or express industry).- Strong proficiency in Microsoft Excel, Power BI, and CRM platforms.- Excellent analytical, organizational, and communication skills.- Ability to translate data into actionable business insights.- High attention to detail, accuracy, and confidentiality.Key Skills- CRM &amp; data management- Sales performance tracking and forecasting- Incentive and commission management- Analytical reporting and visualization- Problem-solving and process optimization- Strong teamwork and communication abilitiesJob Type: Full-time

CRM / Sales Analyst

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