Graduate Program participant supporting Australia's Defence Industry through hands - on projects and professional development initiatives.
About the role
- Mid-level Data Scientist developing and maintaining AI/ML models within the insurance industry. Collaborating with product, actuarial, and engineering teams on data-driven solutions.
Responsibilities
- Design, create, document, and maintain user-friendly and purpose-built data products for use by models and non-technical end users.
- Develop, train, and deploy models using Snowflake Cortex, Snowpark, and integrated Python execution.
- Own the end-to-end model lifecycle: experimentation, feature engineering, validation, production deployment, and monitoring.
- Work closely with our underwriting, claim, actuarial, and analyst teams to translate business needs into data science solutions.
- Partner with data engineering to ensure the availability and readiness of Snowflake-based datasets for modeling and inference.
- Contribute to the development of model governance, reusability standards, and operational monitoring frameworks.
- Stay current on Snowflake’s evolving capabilities to ensure model development aligns with platform best practices.
- Assist in building a shared foundation for data science best practices and help inform future tooling and infrastructure investments.
Requirements
- 3–5 years of hands-on experience in applied data science or machine learning roles.
- Proficiency in Python (e.g., scikit-learn, XGBoost, pandas) and SQL.
- Experience developing and deploying models in Snowflake using Snowpark, Cortex, or similar cloud-native tools.
- Strong understanding of supervised learning, feature engineering, and model performance evaluation.
- Proven ability to work cross-functionally with both technical and non-technical stakeholders.
- Excellent problem-solving, communication, and documentation skills.
- In-office requirement of 3 days minimum in our Peoria or Chicago office.
Benefits
- Health insurance
- 401(k) — automatic 3% company contribution
- Annual 401k and ESOP profit-sharing contributions (Up to 15% of eligible earnings)
- Paid time off (PTO) and holidays
- Paid volunteer time off (VTO) to support our communities
- Parental and family care leave
- Flexible & hybrid work arrangements
- Fitness center discounts and free virtual fitness platform
- Employee assistance program
- Comprehensive medical, dental and vision benefits
- Flexible spending and health savings accounts
- 2x base salary for group life and AD&D insurance
- Voluntary life, critical illness, & accident insurance for purchase
- Short-term and long-term disability benefits
- Training & certification opportunities
- Tuition reimbursement
- Education bonuses
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Science Intern leveraging skills in statistics and programming for data - driven projects at Revolve. Collaborating with marketing and operations for insightful analytics and strategy recommendations.
Senior AI & Data Scientist leading advanced analytical model development for tech company. Ensuring robust data architecture and deploying AI solutions from analysis to production.
Senior Data Scientist responsible for enhancing mapping and routing solutions at Vay. Utilizing data science and machine learning to improve navigation in urban mobility systems.
Data Scientist transforming complex data into valuable insights for adp MERKUR GmbH. Develops machine - learning models and collaborates with stakeholders for data - driven decisions.
Senior Real World Data Scientist providing statistical and epidemiological expertise in nutrition and health research. Analyzing large scale observational data and guiding project teams in statistical methodologies.
Senior Data Scientist at LexisNexis Risk Solutions applying machine learning and AI for government services. Collaborating with a diverse team to solve meaningful problems.
Clinical Data Manager supporting the biospecimen and clinical data management for WVU Cancer Institute. Engaging in data collection, management, and reporting for research and quality assurance.
Data Manager coordinating AI development processes to govern and manage data for medical devices at GE HealthCare. Collaborating with AI/ML engineers and tracking compliance and readiness throughout the lifecycle.
SMAI Manager leading a talented team to develop advanced factory scheduling and automation solutions at Micron. Collaborating globally to enhance manufacturing capabilities and deliver best practices.