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- Tasks: Transform complex sensor data into machine learning models for innovative biotech applications.
- Company: Join a cutting-edge biotech scale-up focused on intelligent detection devices.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with R&D scientists and hardware engineers.
- Why this job: Make a real impact in biosecurity and environmental monitoring with your data science skills.
- Qualifications: 5+ years in applied machine learning and strong statistics background required.
The predicted salary is between 60000 - 80000 £ per year.
AI Connect have been engaged by a biotech scale-up building intelligent detection devices that combine advanced sensors with machine learning. This project is to support the build out of their technology which identifies biological signals from environmental data in real time, with applications across biosecurity, agriculture and environmental monitoring.
We are looking for a research/product focused Data Scientist to help turn complex sensor data into machine learning models that run directly on embedded devices.
Role responsibilities:
- You'll work closely with R&D scientists, hardware engineers and product teams to build the machine learning capability behind a sensor-based biological detection platform.
Key focus areas:
- Define dataset requirements and experimental design to support reliable ML models
- Build classification models from sensor-derived environmental data
- Develop reproducible ML pipelines and feature extraction for time-series sensor signals
- Work with hardware and firmware teams to ensure sensor data quality and support embedded / edge ML deployment
- Provide technical leadership on ML strategy, datasets and experimentation
Experience Required:
- 5+ years in applied machine learning / data science
- Strong statistics and experimental design background
- Experience with sensor data, time-series signals or IoT systems
- Advanced Python (scikit-learn, pandas, TensorFlow or PyTorch)
- Experience building models using noisy real-world datasets
Nice to Have:
- Experience with advanced sensor technologies
- Signal processing expertise
- Embedded ML / edge deployment
- Designing data collection pipelines for ML
If you have the required skills then please apply for more details.
Locations
Senior Data Scientist - IoT in Devon, Plymouth employer: AI Connect | Data & AI Delivery Partner
Contact Detail:
AI Connect | Data & AI Delivery Partner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - IoT in Devon, Plymouth
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech and IoT space. Attend relevant meetups or webinars, and don’t be shy about asking for introductions. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and sensor data. We recommend using platforms like GitHub to share your code and demonstrate your expertise. It’s a great way to stand out from the crowd!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, scikit-learn, and TensorFlow. We suggest doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Tailor your application to highlight your experience with time-series signals and embedded ML deployment. Let’s get you that dream job together!
We think you need these skills to ace Senior Data Scientist - IoT in Devon, Plymouth
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with applied machine learning and data science. We want to see how your skills align with the role, so don’t be shy about showcasing your work with sensor data and time-series signals!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about IoT and how your background makes you a perfect fit for our biotech scale-up. Let us know what excites you about turning complex data into actionable insights.
Showcase Relevant Projects: If you've worked on projects involving machine learning models or sensor data, make sure to include them in your application. We love seeing real-world examples of your work, especially if they relate to biosecurity or environmental monitoring!
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 don’t miss out on any important updates. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at AI Connect | Data & AI Delivery Partner
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of sensor data and time-series signals relevant to the role. Brush up on your experience with noisy datasets and be ready to discuss how you've tackled challenges in the past.
✨Showcase Your ML Pipeline Skills
Prepare to talk about your experience in developing reproducible ML pipelines. Bring examples of how you've defined dataset requirements and designed experiments that led to successful model outcomes.
✨Collaborate Like a Pro
Since this role involves working closely with R&D scientists and hardware engineers, think of examples where you’ve successfully collaborated across teams. Highlight your ability to communicate complex ideas clearly and effectively.
✨Stay Current with Trends
Familiarise yourself with the latest advancements in IoT and sensor technologies. Being able to discuss current trends and how they might impact the field will show your passion and commitment to the industry.