At a Glance
- Tasks: Analyse complex datasets and develop machine learning models to drive business insights.
- Company: Join Corpay, a global leader in innovative payment solutions.
- Benefits: Enjoy 25 days annual leave, private medical insurance, and access to LinkedIn Learning.
- Other info: Collaborative culture with excellent career growth opportunities.
- Why this job: Make an impact in a fast-paced environment while growing your data science skills.
- Qualifications: Masters in Data Science or related field; proficiency in Python and SQL required.
The predicted salary is between 63000 - 77000 £ per year.
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, Num Py, 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 Linked In Learning, with thousands of courses to support ongoing professional and personal development.
- 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.
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.
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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.
Fast-growing, global, rewarding, fun, involved – at Corpay, we are all of these and more.
If you are an experienced and self-motivated professional who can perform at a high level, you will be rewarded.
If you have great ideas, we want to hear them.
If you want your career to grow at the same rapid pace as our organization, this is the place for you.
Whatever your area of expertise, you can take it to the next level at Corpay.
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Junior Data Scientist / ML Engineer employer: CCS Česká společnost pro platební karty s.r.o
Corpay is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters collaboration and innovation. As a Junior Data Scientist/Machine Learning Engineer, you will benefit from comprehensive training and access to cutting-edge technology, while also enjoying ample opportunities for professional growth within a supportive team environment. Join us to make a meaningful impact in the International Vehicle Payments division and advance your career in a thriving industry.
Contact Details:
CCS Česká společnost pro platební karty s.r.o Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist / ML Engineer
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Scientist / ML Engineer at CCS Česká společnost pro platební karty s.r.o.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like CCS Česká společnost pro platební karty s.r.o.
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When you find a suitable opening like Junior Data Scientist / ML Engineer at CCS Česká společnost pro platební karty s.r.o, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Junior Data Scientist / ML Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at CCS Česká společnost pro platební karty s.r.o, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CCS Česká společnost pro platební karty s.r.o. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at CCS Česká společnost pro platební karty s.r.o
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CCS Česká společnost pro platební karty s.r.o!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
