Data Scientist I (BF5838)
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.
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.