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 of leave, private medical insurance, and access to LinkedIn Learning.
- Other info: Collaborative environment with opportunities for personal and professional growth.
- Why this job: Make an impact in the tech world while working with cutting-edge data science tools.
- 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 involves supporting the Data Science team with the development of advanced analytics, machine learning, and artificial intelligence initiatives. You will report to the Lead Data Scientist and collaborate with other IT teams in the business.
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.
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.
Junior Data Scientist / ML Engineer employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
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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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 Stryker Corporation.
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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 Stryker Corporation, 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 Stryker Corporation. 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 Stryker Corporation
✨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 Stryker Corporation!
✨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.
