Data‑Led Process Engineer (KTP Associate) in Liverpool

Data‑Led Process Engineer (KTP Associate) in Liverpool

Liverpool Temporary 54000 - 66000 £ / year (est.) No working from home possible
Technical University of Denmark

At a Glance

  • Tasks: Lead a manufacturing improvement programme using data analysis to enhance performance.
  • Company: Liverpool John Moores University and Ames Goldsmith UK Limited partnership.
  • Benefits: Full-time role with opportunities for professional growth and development.
  • Other info: 30-month fixed-term contract with a dynamic work environment.
  • Why this job: Make a real impact by improving manufacturing processes through data-driven solutions.
  • Qualifications: Graduates in engineering, computer science, or data science are encouraged to apply.

The predicted salary is between 54000 - 66000 £ per year.

Liverpool John Moores University in partnership with Ames Goldsmith UK Limited is recruiting a Process Engineer (KTP Associate) on a 30-month fixed-term contract.

Based on site at Ames Goldsmith in Kirkby, the role will lead a manufacturing improvement programme using data analysis to cut costs, raise capacity and improve performance.

The post is full time (37.5 hours per week) and requires graduates in engineering, computer science or data science to develop digital tools.

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Data‑Led Process Engineer (KTP Associate) in Liverpool employer: Technical University of Denmark

The University is an exceptional employer, offering a supportive and collaborative work environment that prioritises employee well-being and professional growth. With the flexibility of hybrid working and generous leave entitlements, including 36 days off, staff are encouraged to maintain a healthy work-life balance while contributing to the academic success of students in the Faculty of History.

Technical University of Denmark

Contact Details:

Technical University of Denmark Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data‑Led Process Engineer (KTP Associate) in Liverpool

Tap into Online Data Science Communities

Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Technical University of Denmark before they're even advertised!

Show Off Your Skills With Projects

Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.

Check Out Specialist Job Boards

For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Technical University of Denmark.

Leverage University Resources

If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Technical University of Denmark.

We think you need these skills to ace Data‑Led Process Engineer (KTP Associate) in Liverpool

Problem-Solving Skills
Communication Skills
Data Engineering
SQL
Python
Attention to Detail
ETL/ELT Processes

Some tips for your application 🫡

Highlight Your Data Projects:When applying for a temporary data science role at Technical University of Denmark, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.

Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!

Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Technical University of Denmark, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.

Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Technical University of Denmark’s attention and show the tangible impact of your work.

How to prepare for a job interview at Technical University of Denmark

Showcase Your Analytical Skills

For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Technical University of Denmark.

Brush Up on Technical Skills

You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.

Highlight Your Adaptability

Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Technical University of Denmark.

Prepare a Portfolio of Your Work

Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Technical University of Denmark.