Data Scientist

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 a dominant insurer in the GCC and MENA regions. QIC is one of the largest insurance companies in the MENA region in terms of written premium and total assets and is listed on the Qatar Stock Exchange and has a market capitalization in excess of QAR 7 billion. QIC is also the first digital insurance company in Qatar and was crowned as the best online insurance company in the Middle East at the Global Banking \& Finance Review Awards 2022\.

Position Overview:

We are seeking a talented and motivated Data Scientist to join our Group Actuarial team.

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 datadriven 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)