Data Scientist
What We Need Corpay is currently looking to hire a Junior Data Scientist/Machine Learning Engineer within our International Vehicle Payments division.
Your role
What you'll be doing
What We Need
Corpay is currently looking to hire a Junior Data Scientist/Machine Learning Engineer within our International Vehicle Payments division. This position falls under our Vehicle Payments line of business and is located in London, UK. This role is responsible for supporting the Data Science team with the development of advanced analytics/machine learning/artificial intelligence initiatives. You will report into the Lead Data Scientist and regularly collaborate with other IT teams in the business.
How We Work
As a Junior Data Scientist/Machine Learning Engineer you will be expected to work from our London office. Corpay will set you up for success by providing:
Assigned workspace in our London office
Company-issued equipment
Formal, hands-on training
Role Responsibilities
Analysing large and complex datasets to uncover trends and insights.
Supporting the development of predictive models and machine learning workflows.
Supporting the development of agentic LLM-based tools and applications.
Performing exploratory data analysis to guide product and business decisions.
Collaborating with cross-functional teams, including product, marketing, and engineering.
Assisting with the design and maintenance of data pipelines.
Documenting clearly and communicating analytical findings to technical and non-technical stakeholders.
Qualifications & Skills
Masters in Data Science, Statistics, Computer Science, Mathematics, or a related field.
Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn).
Operational understanding of machine learning principles and statistical modelling.
Experience with SQL for data querying.
Previous experience with LLM-based tools, agentic AI, or RAG systems is a plus.
Strong communication skills and a collaborative mindset.
Exposure to cloud platforms such as AWS, GCP, or Azure would be beneficial.
Familiarity with data visualization tools like Tableau, Power BI, or matplotlib.
Participation in personal data science projects or online competitions (e.g., Kaggle).
Understanding of version control systems like Git.
Benefits & Perks
25 days’ annual leave plus 8 bank holidays.
Option to buy or sell up to 5 days of annual leave annually through the benefits enrolment window.
Pension scheme with a minimum 3% employee contribution and up to 5% employer contribution from Corpay
Private Medical Insurance through Vitality with no excess payable by employees; Corpay covers the standard £250 excess charge
Access to the Gratitudes benefits platform, offering flexible discounts, supermarket savings of 4–5%, and a range of exclusive employee offers
Posted July 29, 2026