Data Scientist

Lockton Dunning Benefits is currently seeking a Data Scientist who will be responsible for developing, maintaining, and supporting the data science solutions for the company. This includes the collection, aggregation, and analysis of data from multiple sources to provide insights, reporting, interactive visualization for functional management and decision making. In addition, you will contribute to the culture and processes that support a high functioning team and the organization more broadly.

Evaluating large and complex data sets for the purpose of correlative and causal pattern discovery, trend driver analysis, predictive modeling, and financial forecasting.

Developing programming solutions to address unique situational needs, calling upon a diverse array of analytics methods and programming languages.

Build dashboards and exhibits that monitor key metrics and derive insights for a wide range of audiences.

Collaborate closely with and provide analytical guidance to Lockton consulting teams: strategic, clinical, pharmacy, account service, etc.

Responsible for accurate and thorough documentation of product/components.

Requirement clarification, design, and implementation for software product/solution releases.

Contribute to continuous improvement of software development best practices in the areas of coding tools, languages and APIs, agile software design and development processes.

Designs and implements new, unit tested, software; maintains and enhances existing software.

Create/Design Database structures.

Develop, integrate, test and deliver high quality, robust solutions in a time bound manner as per the requirements.

Execute and deliver as per project plans.

Work with peers and leaders within the Data Science practice, as well as other Lockton associates and Lockton clients for smooth implementation and testing of the application at client location if required.

Contribute to the creation of re-usable tools and libraries.

Document, track, and monitor bugs, problems, and issues to ensure timely resolution.

Provide insight and assistance to the data and analytics staff.