Data Scientist
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Key skills for this role
About the Role
We are seeking a talented Data Scientist to join the Group Actuarial team at Qatar Insurance Group. The role involves developing data-driven solutions using R, Python, and SQL, utilizing LLMs and OCR for unstructured data, and working with cloud platforms like GCP and Azure.
Key Skills for This Role
Responsibilities
- Develop and deploy data driven solutions using R, RShiny, Python, and SQL to analyze and interpret complex datasets
- Utilize Large Language Models (LLMs), Optical Character Recognition (OCR) and Web Scraping technologies to extract, analyze, and model unstructured data
- Work with cloud platforms, particularly Google Cloud Platform (GCP) and Azure, to design scalable and efficient data pipelines and environments
- Leverage analytics: Mathematics and Statistics, modelling and modern machine learning techniques, Optimization
- Understand complex databases and perform data management, cleaning, transformation and visualization
- Build intuitive user interfaces using tools such as Shiny or Dash, enabling non technical users to easily interact with predictive models and analytics dashboards
- Create and maintain predictive analytics models, dashboards, automation program and other data driven tools for technical teams and business stakeholders
- Stay up to date with the latest developments in data science, cloud computing, and AI to continuously improve data products
Requirements
- Advanced University degree (Master’s preferred) in Mathematics, Statistics, Computer Science, Economics, Actuarial or related field
- Minimum 3 5 years of relevant experience
Full Job Posting
About Us
- Qatar Insurance Company Q.S.P.C (QIC, QIC Group) is a publicly listed insurer with a consistent performance history of over 59 years and a global underwriting footprint. Founded in 1964, QIC was the first domestic insurance company in the State of Qatar. Today, QIC is the market leader in Qatar and
Position Overview
- We are seeking a talented and motivated Data Scientist to join our Group Actuarial team.
Responsibilities
- Develop and deploy data driven solutions using R, RShiny, Python, and SQL to analyze and interpret complex datasets.
- Utilize Large Language Models (LLMs), Optical Character Recognition (OCR) and Web Scrapping technologies to extract, analyze, and model unstructured data.
- Work with cloud platforms, particularly Google Cloud Platform (GCP) and Azure, to design scalable and efficient data pipelines and environments.
- Leverage analytics: Mathematics and Statistics, modelling and modern machine learning techniques, Optimization.
- Understand complex databases and perform data management, cleaning, transformation and visualization.
- Build intuitive user interfaces using tools such as Shiny or Dash, enabling non technical users to easily interact with predictive models and analytics dashboards.
- Create and maintain predictive analytics models, dashboards, automation program and other data driven tools for technical teams and business stakeholders.
- Stay up to date with the latest developments in data science, cloud computing, and AI to continuously improve data products.
- Knowledge of actuarial concepts is a plus.
Qualifications and Experience
- Advanced University degree (Master’s preferred) in Mathematics, Statistics, Computer Science, Economics, Actuarial or any related field.
- Minimum 3 5 years of relevant experience (experience level depending on the profile)
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