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
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.

PDI Technologies resides at the intersection of productivity and sales growth, delivering powerful solutions that serve as the backbone of the convenience retail and petroleum wholesale ecosystem. By “Connecting Convenience” across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with their customers. www.pditechnologies.com