Senior Data Scientist - Global Customer & Marketing Analytics

Circle K; Dublin; On-site; EUR 110,000 - 160,000; Full time

Benefits offered by this job

Gallup Exceptional Workplace Award

Benefits package

Stock purchase plan

Fuel discount

Modern tools & office space

Job summary

Circle K is hiring a Senior Data Scientist in Dublin to lead customer and marketing analytics within Global Data & Analytics. You will collaborate with Digital, Marketing, Finance and Data teams to deliver data-driven insights and drive retention and growth.

The role requires hands-on ML and statistical modelling, translating results for business stakeholders and integrating insights into operational initiatives. A strong data science background is essential.

Qualifications

• Degree in statistics, data science, economics, applied mathematics or computer science.
• Experience applying ML, stats and operational research techniques.
• Proficiency with data wrangling and visualization tools.
• Experience with SQL, PySpark and cloud platforms.

Responsibilities

• Lead design and implementation of high-impact data science projects.
• Drive end-to-end project lifecycle from problem to deployment.
• Translate model outputs into actionable business insights.
• Engage cross-functional teams and communicate results.
• Implement CI/CD and monitoring for data products.
• Mentor junior team members in coding and data management.
• Foster a data-driven culture and continuous learning.

Skills

Statistical analysis

Machine learning

Data visualization

Communication

Education

Bachelor's or Master's in a quantitative field

Tools

Pandas

SQL

Power BI

Tableau

PySpark

Job description

Circle K is hiring a Senior Data Scientist in Dublin to lead customer and marketing analytics within Global Data & Analytics. You will collaborate with Digital, Marketing, Finance and Data teams to deliver data-driven insights and drive retention and growth.

The role requires hands-on ML and statistical modelling, translating results for business stakeholders and integrating insights into operational initiatives. A strong data science background is essential.