PDI Technologies
PDI Technologies

Data Scientist I (BF5838)

TLDR

Develop machine learning models, analyze complex datasets, run A/B tests, and build ETL pipelines supporting data-driven decisions for convenience retail and petroleum brands.

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.

PDI 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.

Benefits

Education Stipend

professional certifications

Learning Budget

leadership development opportunities

Quarterly perks program

a quarterly perks program

Paid Time Off

ample time off [time away]

Remote-Friendly

hybrid working arrangements

PDI Technologies develops technology solutions specifically for convenience retail and petroleum brands, focusing on tools that enhance productivity and operational efficiency. With a proven track record of supporting over 1,500 customers worldwide, PDI delivers enterprise management software designed to drive growth and adapt to the evolving demands of the industry.

Founded
Founded 1983
Employees
500+ employees
Industry
Gas Utilities
Total raised
$7.3M raised
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