onsite
Data Scientist - Vermelo RPO
Data Scientist
Data Scientist role focused on building predictive models and analytics solutions for insurance lines, using Python, machine learning, statistical techniques, and cloud platforms to turn large data assets into actionable insights.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models and advanced analytics to support underwriting, pricing, and claims across multiple insurance lines.
- Extract, clean, and transform large structured and unstructured data sets from internal and external sources using SQL and Python.
- Implement machine‑learning pipelines on AWS, ensuring scalability, reproducibility, and robust monitoring.
- Collaborate with product owners, actuaries, and engineering teams to translate business problems into data‑driven solutions.
- Communicate findings through clear visualisations and storytelling to influence strategic decisions.
Requirements
- Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, PyTorch/TensorFlow).
- Hands‑on experience building and validating statistical or machine‑learning models for risk or pricing applications.
- Solid SQL skills for data extraction and manipulation; familiarity with cloud services, preferably AWS.
- Ability to create compelling data visualisations and dashboards using tools such as Tableau, Power BI, or matplotlib.
- Excellent problem‑solving mindset and communication skills to convey complex analytical concepts to non‑technical stakeholders.
Skills
pythonmachine learningsqlaws