onsite
Associate Data Scientist - Jerry
Data Scientist
Entry‑level data scientist role focused on building predictive models and analytics pipelines using Python, SQL, and machine learning techniques to improve insurance and asset‑management products.
About the role
Key Responsibilities
- Develop, test, and deploy machine‑learning models that predict risk, pricing, and customer behavior for automotive and emerging asset verticals.
- Design and maintain data pipelines in SQL and Python to extract, transform, and load large datasets from internal and third‑party sources.
- Collaborate with product, engineering, and analytics teams to translate business problems into data‑driven solutions.
- Create clear visualizations and dashboards that communicate insights to stakeholders and support data‑informed decision making.
- Monitor model performance in production, perform root‑cause analysis, and iterate to improve accuracy and scalability.
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and strong SQL querying skills.
- Experience building and evaluating supervised learning models and applying statistical techniques.
- Ability to work with large, messy datasets and create reproducible data pipelines.
- Effective communication skills and a collaborative mindset for cross‑functional projects.
Skills
pythonsqlmachine learning