Data Scientist - Strategic Analytics Team

Our Story Unum Technology Centre in Carlow serves as a strategic software development and IT services centre supporting Unum, a leading provider of income protection in the US. Our team of IT professionals build solutions and critical business applications to digitally transform the way we do business. This position for an experienced data scientist who is excited to transform data into actionable insights and impactful solutions which drive business results. The role requires significant technical expertise in the fields of computer programming, applied statistics and data manipulation; and relies on increasing business knowledge. While some review by a manager is expected, this individual will take initiative in identifying and executing data science approaches to support business priorities. The Role • Design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value. • Integrate large volume of data from different sources (including Snowflake, DB2, SQL Server, Web API and Teradata) to create data assets for ad-hoc analyses and larger studies. • Apply validation, aggregation, and reconciliation techniques to create rich modeling-ready data framework. • Construct and tune predictive models to explain and understand observed events, forecast expected behavior, or identify risk through scoring or clustering. • Efficiently interpret results and communicate findings and potential value to influence manager and leadership decision making. • Support integration of solutions within existing business processes using automation techniques.  • Understand theory and application of current and emerging statistical methods and tools. • Provides support, training and/or mentorship to lower level Data Science peers. • Perform other related duties as assigned What you offer Bachelor’s degree in quantitative field is required, Master’s is preferred 4 years of professional experience or equivalent relevant work experience preferred Core Data Science Capabilities: Deep expertise in at least two of the following skillsets preferred; and competency in the other: Programming – Experience in programming languages, such as Python and R, to develop programs for manipulating large and complex datasets data analysis and implementing algorithms.  Data Visualization: Expertise on at least one visualization tool with working knowledge of others and expertise in static data visualization. Understanding of dynamic data visualization. Statistics & Statistical modeling: Expertise using statistical inference and regression. Solid understanding of machine learning algorithms. Solid understanding of feature selection and extraction. Conducts end-to-end machine learning tasks from problem synthesis to model deployment. Data Extraction, Transformation, and Loading: Preferred skills include:  Expertise in writing complex SQL queries that join multiple tables/databases. Independently explore databases/tables to identify best data sources to solve business problems. Demonstrates ability to troubleshoot complex SQL queries with little guidance. Core business capabilities : Demonstrated communication skills, experience in financial services, leadership experience working with senior management and executive leadership, and attention to detail while effectively and independently prioritizing work and managing multiple projects simultaneously. Leadership Capabilities : Demonstrated ability to coach or mentor team members, ability to commit quickly and positively to change. Viewed as a promoter of change management and leads proof of concept work and prototyping when necessary Preferred characteristics: Entrepreneurial self-starter, a thorough, results-oriented problem-solver, and a lifelong learner with voracious curiosity who effectively works as part of a diverse team. #ijadv #LI-SF1 #LI-Hybrid #Hybrid What We Offer Our size and successful