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Data Scientist
QLM Insurance
Doha, QAT
Full Time
Senior
3 weeks ago
PythonRSQLPower BITableauMachine Learning
Free
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About the Role
QLM Insurance seeks a Data Scientist to bridge AI consultants, IT providers, and business stakeholders. The role involves strengthening data quality, delivering insights, and implementing AI solutions.
Key Skills for This Role
PythonRSQLPower BITableauMachine Learning
Responsibilities
- Serve as liaison between AI consultants, IT providers, and business stakeholders to align AI initiatives with strategic objectives
- Support Quality Department in strengthening data quality standards and delivering actionable business insights
- Enable end to end implementation of AI driven solutions across the organization
- Translate business needs into technical requirements for AI use cases
- Work 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
Requirements
- B Tech degree in Data Science, Data Analytics, Machine Learning, or 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 AI
- Strong analytical reasoning, stakeholder coordination, and communication skills
- Ability to work in dynamic, high paced environments with teamwork
Full Job Posting
Company Description
- QLM Life and Medical Insurance is the largest health insurance provider in Qatar, offering specialized services tailored to the community.
Role Purpose
- The role serves as a key liaison between AI consultants, external IT service providers, and internal business stakeholders to ensure seamless alignment of AI initiatives with strategic business objectives.
- To support the Quality Department in strengthening data quality standards, delivering actionable business insights, and enabling end to end implementation of AI driven solutions.
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.
Behavioral 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.
- Results oriented mindset with a focus on delivering high quality outcomes and business value.
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