To develop and manage predictive modeling assignments through completion and gain maximum insight that can give Sedgwick a competitive advantage
Requirements
- Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering
- Experience writing Python or R code, and notebook environments
- Knowledge of common unsupervised/supervised ML techniques
- Insurance claims knowledge preferred
Responsibilities
- Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders
- Help to build, prototype, and deploy machine learning models in sandbox and production environments
- Produce reports to communicate metrics and outcomes of stakeholder interest
- Assist with developing and maintaining end-to-end ETL data pipelines
- Work to explore new internal data sources and their utility within projects
- Communicate modeling challenges, findings, and outcomes to stakeholders
Other
- Career development and promotional growth opportunities
- A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more
- Physical: Computer keyboarding
- Auditory/visual: Hearing, vision and talking
- Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines
