Strategic Analytics Data Scientist - Hybrid Role

Unum; Ireland; Hybrid; EUR 70,000 - 110,000; Full time

Benefits offered by this job

25 days annual leave

Paid health insurance

Pension scheme

Annual performance-based bonus

Maternity/paternity/adoptive leave

Reward programs

Charity/community activities

Job summary

Unum is seeking an experienced data scientist at our Technology Centre in Ireland to transform data into actionable insights and business impact. You will work across programming, statistics, and data manipulation to drive priority initiatives, often with some managerial review but ample opportunity to take ownership.

You will integrate large data sources, build predictive models, interpret results for leadership, and mentor junior peers.

Qualifications

• Bachelor’s degree in a quantitative field is required; Master’s is preferred.
• Strong programming skills in Python and R for large datasets.
• Experience with data visualization tools and communicating insights.

Responsibilities

• Design analytical solutions using optimization, simulation, data mining and statistics for business impact.
• Integrate large data from Snowflake, DB2, SQL Server, Web API and Teradata for analyses.
• Apply validation and reconciliation techniques to create rich modeling-ready data.
• Develop and tune predictive models to forecast behavior and assess risk.
• Interpret results and communicate findings to leadership to influence decisions.
• Support integration of solutions within business processes using automation.
• Stay updated on current statistical methods and tools and mentor junior team members.

Skills

Python

R

Data Visualization

SQL

Machine Learning

Education

Bachelor’s degree in quantitative field

Tools

Snowflake

DB2

SQL Server

Teradata

Web API

Job description

Unum is seeking an experienced data scientist at our Technology Centre in Ireland to transform data into actionable insights and business impact. You will work across programming, statistics, and data manipulation to drive priority initiatives, often with some managerial review but ample opportunity to take ownership.

You will integrate large data sources, build predictive models, interpret results for leadership, and mentor junior peers.