At a Glance
- Tasks: Drive product development through advanced data analysis and tool creation using MATLAB.
- Company: Innovative engineering-focused organisation in a fast-paced R&D environment.
- Benefits: Competitive pay, hands-on experience, and the chance to work on impactful projects.
- Why this job: Make a real difference by translating complex data into actionable insights for product innovation.
- Qualifications: Strong MATLAB skills and experience analysing scientific or engineering test data.
- Other info: Dynamic role with opportunities to collaborate with multidisciplinary engineering teams.
The predicted salary is between 36000 - 60000 £ per year.
We are currently recruiting for a Contract Data Scientist to support an innovative engineering-focused organisation operating within a fast-paced R&D environment. This is an excellent opportunity for a hands-on data specialist with strong MATLAB expertise who enjoys working closely with engineering teams to drive product development through high-quality data analysis.
The Role
As a Contract Data Scientist, you will play a key role in supporting engineering development activities through advanced data analysis and tool development. You’ll be working with scientific and test-generated data, helping translate complex datasets into meaningful insights that directly inform product and application improvements. This position requires someone confident working autonomously, enhancing existing analytical frameworks, and collaborating with multidisciplinary engineering teams.
Key Responsibilities
- Develop, write, and maintain robust MATLAB analysis scripts and tools
- Analyse complex datasets generated from scientific and engineering test environments
- Utilise and enhance existing internally developed MATLAB scripts to support ongoing engineering development
- Identify opportunities to optimise, refine, and improve current data analysis methodologies
- Support Test and Applications Engineers with data interrogation, validation, and insight generation
- Present analytical findings clearly to technical stakeholders
- Operate effectively within a fast-paced, iterative engineering development setting
Required Experience & Skills
- Strong proficiency in MATLAB, including script development and tool creation
- Proven experience analysing scientific or engineering test data
- Ability to understand experimental methodologies and interpret technical datasets
- Experience improving or building scalable analysis workflows
- Comfortable working closely with engineering teams to solve practical development challenges
- Strong problem-solving skills and attention to detail
- Able to manage priorities in a dynamic R&D environment
Desirable Experience
- Background in scientific instrumentation, sensors, electronics, or similar technical fields
- Experience validating data quality and supporting product verification processes
- Exposure to structured development environments or regulated industries
This contract would suit a proactive and technically strong Data Scientist who thrives on solving complex engineering problems and contributing directly to product innovation.
Data Scientist in Cambridge employer: SoCode Recruitment
Contact Detail:
SoCode Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the engineering and data science fields. Attend meetups, webinars, or even local events to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MATLAB projects and data analysis work. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and scenarios. Be ready to discuss how you've tackled complex datasets and collaborated with engineering teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your MATLAB expertise and any relevant experience with scientific or engineering data. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our engineering teams. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any projects that involved complex datasets or MATLAB tools, make sure to mention them. We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at SoCode Recruitment
✨Master MATLAB
Since strong MATLAB expertise is a must for this role, make sure you brush up on your skills. Prepare to discuss specific projects where you've developed scripts or tools, and be ready to demonstrate your problem-solving approach using MATLAB during the interview.
✨Know Your Data
Familiarise yourself with the types of scientific and engineering test data you might encounter. Be prepared to talk about how you've analysed complex datasets in the past and how you can translate those insights into actionable recommendations for product development.
✨Collaborate Like a Pro
This role involves working closely with engineering teams, so highlight your experience in collaborative environments. Share examples of how you've successfully partnered with multidisciplinary teams to tackle engineering challenges and drive product innovation.
✨Stay Agile and Adaptable
Given the fast-paced R&D environment, showcase your ability to manage priorities and adapt to changing circumstances. Discuss instances where you've thrived under pressure and how you approach iterative development processes to enhance analytical frameworks.