Junior Data Scientist

Skills
Computer ScienceAmazon Web ServicesAnalyticsBusiness IntelligenceData AnalyticsGeomaticsModeling
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor’s or Master’s degree in Data Science Statistics Computer Science Actuarial Science or related quantitative field or equivalent experience
  • PhD preferred
  • No prior work experience required
  • Proficiency in Python SQL and machine learning libraries such as scikit-learn XGBoost and LightGBM
  • Proficient in model optimization machine learning and analytical programming
  • Familiarity with cloud platforms such as AWS Azure or GCP
  • Familiarity with data pipeline tools such as Airflow or dbt
  • Experience with data visualization tools such as Tableau or Power BI and dashboard development
  • Familiarity with geospatial data telematics or catastrophe modeling
  • Understanding of business and technology operations insurance industry trends regulatory requirements and model governance

Nice to have

  • Analytical mindset
  • Collaborative approach
  • Curiosity
  • Attention to detail
  • Strong communication

Day to day

  • Analyzes large and complex datasets to uncover trends patterns and actionable opportunities
  • Designs develops and deploys predictive models for underwriting pricing claims and customer retention
  • Builds data pipelines automated reporting tools and clear visualizations to support business decisions
  • Collaborates with actuarial underwriting claims product and data engineering teams to solve problems and improve data quality
  • Communicates insights recommendations and model results through compelling storytelling dashboards and presentations
  • Monitors model performance explores new data sources and applies emerging techniques to strengthen business outcomes