Unum is looking to uncover insights that drive exceptional customer experiences by analyzing structured and unstructured data, including customer survey responses, operational metrics, and touchpoint interactions, using tools like Python, SQL, and large language models (LLMs). The goal is to improve CSAT outcomes and elevate the voice of the customer across the organization.
Requirements
- Advanced Python skills, with proficiency in packages such as Panda
- Programming & Process automation: Experience with file I/O, database integrations, and APIs to build automated analytics pipelines.
- Experience engineering solutions using cloud platforms and exposure to scaling solutions in the cloud.
- Experience using internal and external APIs.
- Experience with object-oriented development and database integrations (cloud and local).
- Data Visualization: Expertise on multiple data visualization tools.
- Statistics & Statistical Modeling: Expertise using statistical inference and regression.
Responsibilities
- Leverage business expertise to design and execute analytical solutions using optimization, simulation, data mining and other statistical methods with a focus on delivering actionable business value that contributes to the decision-making process.
- Integrate large volume of data from different sources (including 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.
- Uses broad range of techniques to construct 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 leaders and business partners decisions.
- Play a lead role in integrating solutions within existing business processes using automation techniques.
- Understand theory and application of current and emerging statistical methods and tools.
Other
- Bachelor’s degree in quantitative field is required, Master’s or PhD in a quantitative field is preferred
- 6 years of professional experience or equivalent relevant work experience preferred
- Strong communication skills
- Strong experience in financial services.
- Strong project management skills.
