Zurich seeks a Data Scientist to solve business challenges using advanced analytics and work with team members to deliver solutions.
Requirements
- developing machine learning models
- NLP processing
- working with data visualization tools and techniques
- using fuzzy matching algorithms and their application in insurance claims processing
- involving statistical modeling and advanced machine learning concepts
- working with Python, PySpark, and scikit-learn
- working with NLP tools and libraries including BERT and Hugging Face
Responsibilities
- collaborating with business stakeholders to understand their challenges and structuring an advanced analytical solution to solve it
- identifying key internal/external, structured/unstructured data sources to define the optimal data set for testing the hypotheses and partnering with others to connect these data sources to build the data set
- preparing internal/external, structured/unstructured data sets to build/rebuild/refresh predictive models
- leading effort to design, development and validation of models
- working closely with stakeholders, contribute to the development of a strategy on how to use the model to generate the desired impact
- working closely with stakeholders after deployment, support the project to ensure that impact is achieved
- supporting the monitoring of model accuracy and working with stakeholders to ensure the model is used appropriately and generates the desired impact
Other
- May work remotely 60% of the time.
- Position requires a Master’s degree, or foreign equivalent, in Computer Science, Engineering, Engineering Science, Analytics, or a closely related field of study, plus 2 years of experience in the job offered, or as an Associate Data Scientist, or similar position solving business challenges using advanced analytics.
- Must have 2 years of experience with each of the following: communicating with business unit stakeholders and cross-functional teams
- Must also have 1 year of experience with each of the following: working in the insurance industry
- deploying models or data science solutions into production to make a business impact.
