Europe Data Science Consultant: AI-Driven Analytics

Bodyarmor; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Bodyarmor in Dublin, Ireland, is seeking a data science professional to support Europe Data Science and AI use cases. You will apply statistical methods, build and evaluate models, and generate actionable insights that accelerate product delivery.

The role emphasizes responsible AI, collaboration with cross-functional teams, and clear communication of findings to technical and non-technical stakeholders. A strong background in Python, SQL and ML techniques is required.

Qualifications

• Bachelor's degree in a quantitative field.
• Around five years of relevant experience in Data Science or AI.
• Proficiency in Python and SQL for data prep, exploration, modelling.
• Experience with generative AI tools and responsible AI practices.
• Ability to communicate insights to technical and non-technical audiences.

Responsibilities

• Deliver defined analysis and data-driven insights within DS projects.
• Apply AI tools to speed up analysis and ensure quality.
• Translate analysis into business insights and recommendations.
• Collaborate with cross-functional teams in Europe-focused use cases.
• Document code, notebooks and outputs for reproducibility.

Skills

AI-Assisted Analytics

Data Science

Python

SQL

Statistical Analysis

Machine Learning

Exploratory Data Analysis

Feature Engineering

Model Evaluation

Data Visualization

Responsible AI

Agile Delivery

Education

Bachelor's degree

Master's degree beneficial

Certifications in ML/AI advantageous

Tools

Cloud platforms

MLOps

Generative AI tools

Job description

Bodyarmor in Dublin, Ireland, is seeking a data science professional to support Europe Data Science and AI use cases. You will apply statistical methods, build and evaluate models, and generate actionable insights that accelerate product delivery.

The role emphasizes responsible AI, collaboration with cross-functional teams, and clear communication of findings to technical and non-technical stakeholders. A strong background in Python, SQL and ML techniques is required.