At a Glance
- Tasks: Transform and analyse data to provide insights and support product development.
- Company: Join a major global organisation in the Engine Business Unit.
- Benefits: Gain industry experience, develop skills, and enhance your career potential.
- Other info: Exciting opportunity for growth and innovation in data analytics.
- Why this job: Make a real impact while learning from industry experts in a dynamic environment.
- Qualifications: Studying towards a STEM degree with teamwork and critical thinking skills.
The predicted salary is between 19350 - 23650 £ per year.
We are looking for an enthusiastic Placement Student - Data Analytics to join our team in the Engine Business Unit in Darlington Engine Plant. During your placement with us, you will learn how a major global organization operates, gaining the tools and exposure you will need to become an expert in the industry and power your potential!
This role is available to candidates who qualify for a placement year and will commence Summer of 2027.
In this role, you will make an impact in the following ways:
- Acquiring, transforming and analysing data to provide meaningful insights to a variety of stakeholders.
- Working within an area of the Data Analytics Team to make a positive difference across the department.
- Work innovatively to support the development and validation of new Cummins products through the Serviceability and design review processes ensuring dashboards and documentation are updated regularly and collaborating with key stakeholders to gather data.
- Use MATLAB and other software to provide advanced analysis of the performance of our products.
- Use Power BI to summarise and effectively communicate analysis.
- Supporting the identification, resolution, and implementation of fixes on key product issues with OEMs.
To be successful in this role you will need the following:
- We are looking for a wide range of applicants studying towards a STEM degree with critical thinking skills that are suitable for this role.
- Ability to work successfully as part of a team with experience contributing to or leading a group project.
- Strong desire to learn with knowledge of the practical application of science or engineering concepts.
- Good level of skill using Microsoft applications including Excel and PowerPoint.
- Ability to use Power BI and MATLAB - highly desirable.
- Ability to code in Python - desirable.
CLOSING DATE: 18th December.
Placement Student - Data Analytics employer: Cummins
Cummins is an excellent employer for aspiring Sales and Marketing professionals, offering a supportive apprenticeship programme in Darlington, UK. With a focus on employee growth, you will gain invaluable skills and experience within a major global organisation, while enjoying a collaborative work culture that champions continuous improvement and customer engagement. The opportunity to study at Darlington College alongside hands-on experience ensures a well-rounded foundation for your future career.
StudySmarter Expert Advice🤫
We think this is how you could land Placement Student - Data Analytics
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at Cummins.
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like Cummins a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like Cummins.
We think you need these skills to ace Placement Student - Data Analytics
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at Cummins
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to Cummins. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join Cummins specifically. Let your motivation shine through!
