Data Science Analyst

Cvshealth Open

Hybrid Galway Full-time Mid-level Data Science

At a glance

Mid-level Data Science role at Cvshealth. Galway · full-time · €30,000–€75,000 base.

SalaryStated by Cvshealth

€30,000 – €75,000

Base salary for this role, in EUR per year, as published in the posting.

RoleData Science

SeniorityMid-level

LocationGalway

WorkplaceHybrid

EmploymentFull-time

Base pay€30,000–€75,000

PostedNov 12, 2026

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Help build and improve data and machine-learning pipelines, making them easier to reproduce and maintain
Prepare data, explore patterns and create model features with guidance from experienced data scientists
Develop and validate AI models, then assess their performance using suitable metrics and interpret the results
Work with the team on analytical and modelling solutions while building your professional skills

What you bring

A bachelor’s degree in computer science, data science, statistics, mathematics, engineering or a related discipline
You understand data-science programming, structured-data queries and analysis libraries such as pandas, NumPy or another listed tool
You have a grounding in probability and statistics, including descriptive analysis and hypothesis tests
You can explain analytical results to non-technical audiences and contribute both independently and as part of a team

Who this fits

This mid-level role suits someone starting a data science career who is ready to learn with guidance from experienced colleagues. It is based in Galway, Ireland, with a hybrid arrangement.

From the employer

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

Position Summary
Primary Job Duties & Responsibilities

Contribute to business-critical, enterprise-grade data and machine learning pipelines using modern technology and techniques.
Drive long-term improvements with a focus on simplicity, reproducibility and maintainability.
Work closely with the team to develop analytical and modelling solutions.
Assist with data preparation, exploratory analysis, feature engineering, AI model development and validation under the guidance of experienced data scientists.
Support the evaluation of model performance, including the design of appropriate metrics and the interpretation of results.
Contribute to the team by offering their unique perspectives, supporting ongoing initiatives, and acquiring valuable skills and knowledge to kick-start their professional career.
Participate in training sessions, workshops, and other learning opportunities to enhance professional skills, industry knowledge, and understanding of business operations.
Required Qualifications
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics (Economics, Finance), Engineering or similar
Preferred Qualifications
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics (Economics, Finance), Engineering or similar

Education
Understanding of programming languages used in data science. Ex: Python, R, SQL.
Familiarity with data manipulation and analysis libraries. Ex: pandas, NumPy, scikit-learn, matplotlib.
Familiarity with AI models such as Claude and ChatGPT.
Foundational understanding of statistics and probability, including hypothesis testing and descriptive statistics.
Ability to query and work with structured data.
Adept at problem solving and decision-making skills.
Excellent written and verbal communication, including the ability to explain analytical findings to non-technical audiences.
Proactive, self-starter who is results driven.
Strong team player and comfortable working on own initiative.