PDI Technologies

Data Scientist I (BF5838)

PDI Technologies County Laois, The Municipal District of Graiguecullen — Portarlington, Ireland

Software Development · 501-1,000 employees

14 h ago
data-scientist Junior (0-2 yrs) Full-time Ireland
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About the role

The Data Scientist will analyze complex datasets to identify trends and develop machine learning models to solve business problems. They will also collaborate with engineering teams to build ETL pipelines and communicate findings to various stakeholders.

What they look for

Data analysis Machine learning Python R SQL Data visualization A/B testing ETL pipelines Predictive modeling Cloud computing AWS Agentic AI Claude Code Problem-solving Communication Critical thinking

Requirements

Candidates must hold a bachelor's degree in data science, statistics, mathematics, or a related field. Proficiency in Python or R, experience with SQL, and a strong background in experimental design or modeling are required.

Benefits

Competitive salary Market-competitive benefits Quarterly perks program Time away Continuous learning Professional certifications Leadership development opportunities

Full description

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.

By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We’re a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.

Role Overview

We are seeking a skilled and motivated Data Scientist I to join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse range of customers. As a junior contributor, you will work on a variety of data-driven projects and help implement scalable solutions.

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Key Responsibilities Data Analysis & Modelling: - Analyse large, complex datasets to identify trends, patterns, and actionable insights. - Develop, implement, and optimize machine learning models to solve business problems. - Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: - Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. - Design and develop ETL pipelines and workflows for data preprocessing. - Develop automated tests to validate the processes and models you create.

Collaboration & Communication: - Participate in design meetings to help shape the solutions that the team delivers - Present findings and recommendations to technical and non-technical audiences. - Acquire domain knowledge to inform modelling opportunities and model feature creation

Qualifications Education: - Bachelor’s degree in data science, Statistics, Mathematics, or a related field.

Experience: - Experience designing experiments or modelling approaches to solve a specified problem.

Technical Skills: - Proficiency in programming languages such as Python or R; knowledge of is R an advantage. - Experience with SQL and working knowledge of relational databases. - Proficiency with data visualisation tools and techniques. - Experience with AI tools such as Claude Code - ideally also agentic AI - Experience with AWS is a plus.

Soft Skills: - Strong problem-solving and critical-thinking abilities. - Excellent communication and presentation skills.

\nPDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.

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