Junior Data Scientist
Skills
Computer ScienceAmazon Web ServicesAnalyticsBusiness IntelligenceData AnalyticsGeomaticsModeling
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
