Data Scientist II - Gen AI/Python/AWS/SQL

Unum Ireland; Northern (KY); Hybrid; USD 95,000 - 125,000; Full time

Job summary

Unum Ireland is seeking a Data Scientist II to lead AI, ML and advanced analytics initiatives across the enterprise. You will develop and deploy models, build proof-of-concept solutions, and collaborate with stakeholders to translate data into actionable insights.

The role emphasizes cross-functional teamwork, rapid experimentation, and mentorship of peers, with a campus-based on-site requirement three days a week.

Qualifications

• Bachelor’s degree in quantitative field required; Master’s preferred.
• 4+ years of professional data science experience preferred.
• Strong programming and data engineering skills with ML and analytics focus.

Responsibilities

• Develop and evaluate ML and generative AI solutions.
• Build proof-of-concept applications for business needs.
• Collaborate with cross-functional teams to deliver insights.
• Apply advanced analytics to support strategic decisions.
• Mentor junior data scientists and share best practices.

Skills

Machine Learning

Generative AI

Python

SQL

Data Visualization

Statistics

Data Mining

DevOps

Education

Bachelor’s degree in quantitative field

Master’s degree preferred

Tools

DB2

SQL Server

Teradata

Web API

Job description

Data Scientist II | AI, Machine Learning & Advanced Analytics Passionate about AI and data-driven innovation? Join our innovation hub as a Data Scientist II, where you'll help solve high-impact business challenges using machine learning, generative AI, and advanced analytics. In this role, you'll develop proof-of-concept solutions, build and deploy AI models, and collaborate with stakeholders across the enterprise to turn complex data into actionable insights. You'll work in a fast-paced, agile environment that encourages experimentation, continuous learning, and the application of emerging technologies to create measurable business value. What you'll do: Develop and evaluate machine learning and generative AI solutions Build proof-of-concept applications to address business needs Partner with cross-functional teams to identify opportunities and deliver insights Apply advanced analytics to support strategic decision-making Contribute to a culture of innovation and continuous improvement This is a campus-based position that requires 3 day per week onsite.**Principal Duties and Responsibilities*** 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 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 **Job Specifications*** 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 & Process automation: Experience with file I/O, database integrations, and APIs to build automated analytics pipelines. Understanding of process research and design, which may be demonstrated through use of DevOps, automation, data mining, web scraping, or object-oriented software is preferred.* 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.* Demonstrates ability to create logical data models by combining data from multiple sources including internal and external data. **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.