Data Scientist: Actuarial Analytics & ML in the Cloud

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

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