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Corpay

Junior Data Scientist / ML Engineer

Posted 5 Days Ago
In-Office
London, Greater London, England
Junior
In-Office
London, Greater London, England
Junior
Support the Data Science team by analysing large datasets, performing EDA, building predictive models and ML workflows (including agentic LLM tools), assisting with data pipelines, and communicating findings to cross-functional stakeholders.
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Your roleWhat 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

  • Free access to LinkedIn Learning, with thousands of courses to support ongoing professional and personal development

About Corpay

About Corpay

 

Corpay is a global technology organization that is leading the future of commercial payments with a culture of innovation that drives us to constantly create new and better ways to pay. Our specialized payment solutions help businesses control, simplify, and secure payment for fuel, general payables, toll and lodging expenses. Millions of people in over 80 countries around the world use our solutions for their payments.

At Corpay, we are committed to fostering an inclusive and respectful workplace where employees are valued for their diverse perspectives, experiences, and contributions. We believe that diversity, equity, and inclusion strengthen our teams, drive innovation, and support our continued success globally.

As part of our hiring process, offers of employment may be subject to the successful completion of pre-employment screening conducted by an authorized third-party provider, in accordance with applicable laws and Corpay policies. Screening requirements may include employment references, identity verification, criminal record checks, financial or sanctions screening, and other background checks relevant to the role and permitted by local law.

Notice to Recruitment Agencies and Search Firms: Corpay does not accept unsolicited resumes from agencies or search firms without a valid written agreement in place. Any unsolicited candidate submissions will become the property of Corpay, and no fees will be paid related to such submissions.

Learn more about Corpay: https://www.corpay.com

 

Transparency & Compliance

 

Equal Opportunity Employer

Corpay is committed to providing equal employment opportunities to all applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy), gender, gender identity or expression, sexual orientation, national origin, ancestry, age, disability, marital status, genetic information, military or veteran status, or any other characteristic protected by applicable law. Corpay is committed to fostering an inclusive workplace where individuals are respected and valued for their diverse perspectives, experiences, and contributions. If you require reasonable accommodation during any part of the application or interview process, please notify a representative of the Human Resources Department.


Use of Artificial Intelligence in Hiring

Corpay may use artificial intelligence (AI) and other technology-enabled tools to support certain aspects of the recruitment process, such as application screening, candidate assessment, or interview scheduling. These tools are designed to enhance efficiency, consistency, and fairness throughout the hiring process. AI tools do not make final hiring decisions. All employment decisions involve human review. Corpay is committed to the responsible use of AI, including appropriate oversight and safeguards designed to support fair and unbiased outcomes.


Candidate Privacy Notice

For information about how Corpay processes personal information during the recruitment process, please review our Candidate Privacy Notice: https://www.corpay.com/privacy-policy.


Pay Philosophy

Corpay is committed to fair, equitable, and transparent compensation practices. Compensation decisions are based on objective, job-related factors including skills, experience, qualifications, and market benchmarks. Where required by applicable law, salary or compensation ranges will be included in the job posting or provided prior to the interview process, where required by applicable law. Additional compensation elements such as bonuses, incentives, benefits, or variable pay may apply where applicable.

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