Data Scientist

Qatar Insurance Group; Doha; On-site; QAR 180,000 - 280,000; Full time

Job summary

Qatar Insurance Group seeks a Data Scientist to join the Group Actuarial team, developing data-driven solutions with R, Python and SQL. You will leverage LLMs, OCR, and web scraping to extract and model unstructured data, while building scalable cloud-based data pipelines on GCP and Azure.

Expect to transform complex datasets into actionable insights and intuitive dashboards for business stakeholders. The role emphasizes analytics, statistics, and modern ML techniques, with knowledge of

Qualifications

• Advanced university degree in Mathematics, Statistics, CS, Economics, Actuarial or related field.
• 3–5 years of relevant data science experience; appropriate level depending on profile.

Responsibilities

• Develop and deploy data-driven solutions using R, RShiny, Python and SQL.
• Analyze and interpret complex datasets to extract actionable insights.
• Apply LLMs, OCR and web scraping to extract and model unstructured data.
• Design scalable data pipelines on cloud platforms (GCP, Azure).
• Build intuitive dashboards using Shiny or Dash for non-technical users.
• Maintain predictive models and analytics tools for technical teams and stakeholders.

Skills

R

Python

SQL

Statistics

Machine Learning

Education

Master's degree preferred

Tools

RShiny

Dash

OCR

Web Scraping

GCP

Azure

Job description

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)