Data Analytics Placement Student – 12 Months

Data Analytics Placement Student – 12 Months

Placement 19350 - 23650 £ / year (est.) On-site
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At a Glance

  • Tasks: Dive into data analytics, transforming insights into impactful solutions.
  • Company: Join Cummins, a leader in innovation and sustainability.
  • Benefits: Gain hands-on experience, mentorship, and a competitive salary.
  • Other info: Exciting 12-month placement starting Summer 2027 at Darlington.
  • Why this job: Make a real difference with data while developing your skills.
  • Qualifications: Passion for data, familiarity with MATLAB, Power BI, and Python.

The predicted salary is between 19350 - 23650 £ per year.

Cummins is seeking a Placement Student – Data Analytics for a 12-month placement at the Darlington Engine Plant.

You will contribute to data-driven insights and support the analytics team across projects, gaining exposure to tooling and real-world industrial data.

You'll work with MATLAB, Power BI and Python, transforming data, building dashboards, and collaborating with stakeholders to drive improvements in product performance and serviceability.

Summer 2027 start.

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Data Analytics Placement Student – 12 Months 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.

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Contact Details:

Cummins Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analytics Placement Student – 12 Months

✨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 Data Analytics Placement Student – 12 Months

Data Analytics
MATLAB
Power BI
Python
Data Transformation
Dashboard Building
Stakeholder Collaboration

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!