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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.
- Why this job: Make a real impact in biosecurity and environmental monitoring with your ML expertise.
- Qualifications: 5+ years in applied machine learning and experience with IoT systems.
- Other info: Collaborate with R&D scientists and engineers in a dynamic, innovative environment.
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. 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.
- 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
5+ years in applied machine learning / data science
- 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
- Embedded ML / edge deployment
- Designing data collection pipelines for ML
Senior Data Scientist (AI/ML) in Newcastle upon Tyne 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 (AI/ML) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and AI/ML fields on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving sensor data and machine learning models. Use platforms like GitHub to share your code and demonstrate your expertise. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML concepts. Practice coding challenges and be ready to discuss your past projects in detail. We recommend using mock interviews to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Follow up after interviews! A simple thank-you email can go a long way in leaving a positive impression. Reiterate your enthusiasm for the role and mention something specific from the interview that excites you about the opportunity. It shows you’re genuinely interested!
We think you need these skills to ace Senior Data Scientist (AI/ML) in Newcastle upon Tyne
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, especially your work with sensor data and IoT systems.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI/ML and how your background makes you a perfect fit for our biotech scale-up. Be specific about your achievements and experiences.
Showcase Relevant Projects: If you've worked on projects involving time-series signals or embedded ML, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on the details.
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’s super easy!
How to prepare for a job interview at AI Connect | Data & AI Delivery Partner
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools and technologies mentioned in the job description, like Python, TensorFlow, and scikit-learn. Brush up on your experience with sensor data and time-series signals, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific projects where you've turned complex data into actionable insights. Be ready to explain your thought process and how you approached challenges, especially in building ML models from noisy datasets.
✨Collaborate Like a Pro
Since this role involves working closely with R&D scientists and hardware engineers, think of examples that highlight your teamwork skills. Be prepared to discuss how you’ve collaborated on projects and how you ensure smooth communication across different teams.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s current projects, their approach to ML strategy, and how they handle data quality for embedded systems. This shows your genuine interest and helps you gauge if it’s the right fit for you.