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- The company leads the health insurance sector with innovative and flexible insurance programs designed to suit individuals and organizations.
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- MindstreamDoha
- You will play a key role in developing, productionizing, and scaling advanced AI solutions, ranging from agentic workflows to time-series forecasting models.
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- The Data Science Consultant acts as the strategic link between business problem solving and advanced analytics.
- Knowledge of Agile delivery frameworks.
- سبيتارQatar
- Supports the Research agenda of Aspetar by contributing to the establishment of world-class research projects within and ensuring the highest level of support…
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- سبيتارQatar
- Supports the Research agenda of Aspetar by contributing to the establishment of world-class research projects within and ensuring the highest level of support…
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- سبيتارQatar
- Support ASPREV (Aspetar Sports Injury and Illness Prevention Programme) by contributing to the establishment of world-class research projects within ASPREV and…
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- DLB GlobalDoha
- DLB Global is seeking a highly analytical Macroeconomic Researcher to transform complex economic trends into actionable intelligence.
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- Rally Point Management, LLCQatar
- Conduct screenings, complete reports and do all necessary background checks on locally.
- Conduct screenings, complete reports and do all necessary background…
Job Post Details
Job details
Job type
- Permanent
- Full-time
Location
Full job description
Job description
Company Description
QLM Life and Medical Insurance is the largest health insurance provider in the State of Qatar, offering specialized services tailored to meet the diverse needs of the community. The company leads the health insurance sector with innovative and flexible insurance programs designed to suit individuals and organizations. QLM is recognized for its commitment to excellence and superior customer service. It provides advanced solutions to ensure comprehensive coverage and support for its members.
Role Dimensions
· Works across multiple platform modules including core insurance systems, provider portals, member apps, e-claims engine, analytics dashboards and integration interfaces.
· Support both operational enhancements and digital transformation initiatives.
Qualifications
- B-tech degree in data science, Data Analytics, Machine Learning, or a related field.
- 5–7 years of relevant experience in data analytics, AI, or business intelligence.
- Strong proficiency in Python, R, SQL, Power BI, and Tableau.
- Proven background in predictive analytics, machine learning, data visualization, and artificial intelligence technologies.
- Strong capability in analytical reasoning, with effective stakeholder coordination and clear communication skills.
- Able to excel in dynamic, high-paced environments that require teamwork and collaboration
Technical Competencies
- Advanced proficiency in Python, R, and SQL for data analysis, modelling, and solution development.
- Expertise in developing interactive dashboards and business intelligence reports using Power BI and Tableau.
- Strong knowledge of statistical analysis, predictive modelling, machine learning, and forecasting techniques.
- Experience in data extraction, cleansing, transformation, and management across multiple data sources.
- Sound understanding of Artificial Intelligence technologies, including Large Language Models (LLMs) and OCR solutions.
- Proven ability to analyse complex datasets and deliver actionable insights to support business decision-making.
- Skilled in designing, validating, and optimizing analytical models to improve operational and business performance.
- Effective at translating business requirements into data-driven solutions and communicating findings to diverse stakeholders.
Behavioural Competencies
- Strong analytical and critical thinking skills with the ability to solve complex business problems.
- Excellent communication and stakeholder management capabilities across diverse organizational levels.
- Proven ability to collaborate effectively within cross-functional and multidisciplinary teams.
- Adaptable and resilient, with the capacity to perform in dynamic and fast-paced environments.
- Committed to continuous learning and staying abreast of emerging technologies and industry trends.
- Strong organizational and time-management skills, with the ability to manage multiple priorities effectively.
- Demonstrated initiative and a proactive approach to identifying opportunities for improvement and innovation.
- Results-oriented mindset with a focus on delivering high-quality outcomes and business value.
Work Location: In person