*Senior Data Scientist

Zurich (Schaumburg, IL) seeks a Senior Data Scientist to prepare data sets in various types and from various sources to build predictive models and work closely with business stakeholders to understand their challenges and provide advanced analytical solutions. Specific duties include: design, prototype, and deploy interactive Generative AI applications-such as document chatbots, summarization tools, and retrieval systems-using Retrieval-Augmented Generation (RAG) framework and Streamlit built on Databricks Apps; conduct research and development on document retrieval techniques, including large-document parsing and ingestion using Azure Document Intelligence and Unstructured for complex formats; implement tabular data chunking and metadata preservation using LangChain and Unstructured; optimize vector search index structures and embedding strategies with Azure AI Search and LlamaIndex; and perform large language model (LLM) evaluation and assessment using tools like Ragas and Hugging Face; build, train, and deploy production-grade machine learning and NLP models for tasks such as document classification, entity recognition, and keyword extraction, leveraging Azure Databricks or similar cloud-based infrastructure; develop standardized frameworks and key metrics for predictive model performance monitoring using Databricks Model Serving and Inference Tables; implement monitoring and logging to ensure model accuracy, reliability, and compliance; perform exploratory data analysis (EDA) on insurance datasets using Python libraries (pandas, numpy, seaborn, PySpark) and SQL to uncover insights and support modeling strategies; and collaborate with cross-functional teams to translate business needs into scalable ML solutions, support data ingestion and extraction, and assist in building Power BI dashboards. Option to work remotely from anywhere in the U.S.

Position requires a Master's degree, or foreign equivalent, in Computer Science, Data Science, Business Analytics, or a closely related field of study, plus 2 years of experience in the job offered, or as a Data Scientist, or similar position preparing data sets in various types and from various sources build predictive models. Must have 2 years of experience with each of the following: developing predictive models and applying machine learning algorithms including regression, classification, clustering, and decision trees using Python and associated data science libraries including Pandas, Numpy, and Scikit-learn; working with Natural Language Processing (NLP) techniques, including document classification, entity extraction, and summarization; using SQL queries for database management; communicating technical findings through data visualization tools including Power BI; and collaborating with business stakeholders and cross-functional teams. Option to work remotely from anywhere in the U.S.

Full time position. Apply by submitting your resumes at Zurichna.com/en/careers, Job ID: 129534

At Zurich, compensation for roles is influenced by a variety of factors, including but not limited to the specific office location, role, skill set, and level of experience. In compliance with local laws, Zurich commits to providing a fair and reasonable compensation range for each role. For more information about our Total Rewards, please click here. Additional rewards may encompass short-term incentive bonuses and merit increases. We encourage candidates with salary expectations beyond the provided range to apply, as they will be considered based on their experience, skills, and education. The salary indicated represents a nationwide market range and has not been adjusted for geographic differentials pertaining to the location where the position may be filled. The proposed salary range for this position is $114,400.

Why Zurich?

At Zurich, we value your ideas and experience. We offer growth, inclusion, and a supportive environment-so you can help shape the future of insurance. Zurich North America is a leader in risk management, with over 150 years of expertise and coverage across 25+ industries, including 90% of the Fortune 500 .

Join us for a brighter future-for yourself and our customers.

Zurich in North America does not discriminate based on race, ethnicity, color, religion, national origin, sex, gender expression, gender identity, genetic information, age, disability, protected veteran status, marital status, sexual orientation, pregnancy or other characteristics protected by applicable law. Equal Opportunity Employer disability/vets.

Zurich complies with 18 U.S. Code 1033.

Please note: Zurich does not accept unsolicited CVs from agencies. Preferred vendors should use our Recruiting Agency Portal.

Location(s): AM - Schaumburg
Remote Working: Yes
Schedule: Full Time
Employment Sponsorship Offered: No

Linkedin Recruiter Tag: #LI-DNI #NAAIA