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For Companies At a Glance
- Tasks: Build statistical models and turn data into insights for advanced manufacturing.
- Company: Fast-growing, venture-backed company redefining high-performance metal components.
- Benefits: Competitive salary, great benefits, and opportunities for professional growth.
- Why this job: Shape the future of manufacturing with cutting-edge technology and real-world impact.
- Qualifications: Background in STEM, strong coding skills, and a passion for complex systems.
- Other info: Ideal for ambitious early-career individuals eager to influence production outcomes.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a fast-growing, venture-backed advanced manufacturing company, redefining how high-performance metal components are designed and produced. By combining machine learning, physics-based modelling, and metal 3D printing, the team is pushing the boundaries of what engineered materials can achieve.
The Role
Laser Powder Bed Fusion machines generate vast streams of data. The successful candidate will turn that data into insight and predictive power.
Responsibilities Include:
- Building statistical and machine learning models to predict machine and component performance
- Identifying key drivers of variation in advanced manufacturing processes
- Designing robust data pipelines that transform raw machine signals into reliable, decision-ready outputs
- Collaborating with materials scientists, process engineers, and software developers to improve production reliability and scalability
This is not dashboard-building. It is modelling physical systems and improving how they behave in the real world.
The Ideal Candidate:
- Background in mathematics, physics, engineering, computer science, or a related STEM discipline
- Strong coding skills (Python preferred)
- Excited by complex systems, uncertainty, and real-world data
- Motivated by seeing models influence hardware and production outcomes
- Experience in probabilistic modelling, time-series analysis, or additive manufacturing is advantageous.
This is an opportunity for ambitious early-career intellectuals who want their work to shape the future of advanced manufacturing.
Data & Statistical Modelling Engineer in Oxford employer: Perfect Storm Software, LLC
Contact Detail:
Perfect Storm Software, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Statistical Modelling Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the advanced manufacturing field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your statistical and machine learning models. We all know actions speak louder than words, so let your work do the talking when you get the chance to chat with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your coding skills, especially in Python, and be ready to discuss your experience with probabilistic modelling and time-series analysis. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re here to help you every step of the way, so take that leap and submit your application today!
We think you need these skills to ace Data & Statistical Modelling Engineer in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data & Statistical Modelling Engineer role. Highlight your background in mathematics, physics, or engineering, and don’t forget to showcase your coding skills, especially in Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your experience with complex systems and data modelling can contribute to our mission at StudySmarter. Keep it engaging and personal!
Showcase Relevant Projects: If you've worked on projects involving statistical modelling or machine learning, make sure to mention them! We love seeing real-world applications of your skills, so include any relevant examples that demonstrate your ability to turn data into insights.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Perfect Storm Software, LLC
✨Know Your Data Inside Out
Make sure you’re familiar with the types of data you’ll be working with. Brush up on statistical and machine learning concepts, especially those relevant to predictive modelling. Being able to discuss how you would approach turning raw data into insights will impress your interviewers.
✨Show Off Your Coding Skills
Since strong coding skills are a must, practice coding in Python before the interview. Be ready to discuss your previous projects or experiences where you’ve used Python for data analysis or modelling. If possible, prepare to solve a coding challenge during the interview.
✨Understand the Manufacturing Process
Familiarise yourself with laser powder bed fusion and other advanced manufacturing processes. Knowing how these systems work and the challenges they face will help you articulate how your skills can contribute to improving production reliability and scalability.
✨Collaborate and Communicate
This role involves working with a diverse team, so be prepared to discuss your experience collaborating with others. Highlight any past projects where you worked alongside engineers or scientists, and emphasise your ability to communicate complex ideas clearly and effectively.