Selective is looking to solve key business problems in claims, marketing, underwriting, and other insurance-based functions by leveraging data science, machine learning, statistical analysis, and quantitative modeling. The goal is to drive the organization's analytical capabilities forward, progressing from supervised learning to true Artificial Intelligence.
Requirements
- Professional statistics/quantitative skills.
- Hands-on experience of solving business problem with various multi variate statistical methods including generalized linear model, survival model, time series, mixed effects model etc.
- Deep understanding and practical experience of applying machine learning techniques and algorithms, such as SVM, GBM etc.
- Familiar with the whole life cycle of predictive modeling, including data provision, model development, validation and testing, model deployment.
- Proficient with manipulating data with enterprise-scale database systems (SQL, SAS).
- Experience with BI tools such as Tableau, Spotfile etc. is required.
- Hands on experience with Big Data / Hadoop / Spark for 2-3 years is required.
- Proficient with at least one scripting language such as R, Python, or Java.
- Experience with version control workflow such as Git is preferred.
- Experience with web app development is preferred.
Responsibilities
- Responsible for data science, machine learning algorithms, statistical analysis, complex data analysis and the development of quantitative models that are designed to solve key business problems in claims, marketing, underwriting, and many other insurance-based functions.
- Detects, trouble-shoots, and foresees data and analysis issues and implements creative solutions.
- Manipulate high-volume, high-dimensionality data from varying sources to highlight patterns, anomalies, relationships, and trends.
- Perform descriptive and diagnostics analysis to provide actionable insights for a range of business customers via effective visualization.
- Perform prescriptive analysis seeking for statistical inference providing information that will drive strategic decision making related to marketing, claims and underwriting.
- Develop predictive models and machine learning solutions to investigate problems, detect patterns and recommend solutions.
- Design best in class sophisticated analytical solutions using advanced data science techniques like Text Mining, Natural Language Processing (NLP), Image Recognition and Robotic Process Automation (RPA).
Other
- Work directly with business partners and stakeholders to lead the thought process to identify opportunities for applying advanced analytics solutions while ensuring business benefits are realized.
- Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations, and business processes.
- Strong Communication and Presentation Skills in front of diverse audience.
- Provide training and mentorship to junior analysts and other coworkers.
- PhD with 2-3 years of experience, or Master’s with 5 years of experience or Bachelors with 7 years of experience and education in Statistics, Economics, Computer Science, Mathematics or related field preferred.
- At least 5 years of progressive experience in data science, statistical analysis, and data modeling; 5 years of experience with statistical software.
- Insurance industry experience preferred.
