At a Glance
- Tasks: Develop and deploy machine learning models for smart infrastructure solutions.
- Company: Join Robotiz3d, a fast-growing startup revolutionising road maintenance with AI.
- Benefits: Competitive salary, equity options, and exciting career growth opportunities.
- Other info: Collaborative environment tackling challenging problems in robotics and AI.
- Why this job: Make a real-world impact on public infrastructure and transportation safety.
- Qualifications: MS/PhD in relevant fields and 5+ years of data science experience required.
The predicted salary is between 80000 - 80000 £ per year.
Salary - up to £80,000/year based on experience.
About Robotiz3d
Robotiz3d is a fast-growing startup building next-generation AI-driven robotics and Saa S platforms for automated road infrastructure inspection, analysis, and maintenance.
Our systems combine advanced sensing, robotics, edge computing, cloud-native platforms, analytics, and artificial intelligence to help infrastructure operators make faster, smarter, and more proactive decisions for road maintenance.
- What You’ll Be Doing
- Develop and deploy machine learning and statistical models for infrastructure inspection, anomaly detection, predictive maintenance, and operational optimization.
- Analyze large-scale multimodal datasets from sensors, imaging systems, edge devices, and cloud platforms.
- Improve data quality, labeling strategies, and model performance through experimentation and continuous learning.
- Support MLOps initiatives including model optimization, monitoring, validation, retraining, and deployment automation.
- Collaborate with AI and software engineering teams to productionize models into cloud and edge environments.
- Help define the long-term data and AI strategy for Robotiz3d’s intelligent infrastructure platform.
- What We’re Looking For
- MS or Ph D in Data Science, Computer Science, Statistics, Applied Mathematics, Computer Engineering, or related field.
- 5+ years of industry experience in data science, machine learning, or AI-driven analytics.
- Strong programming skills in Python and experience with modern ML frameworks such as Py Torch, Tensor Flow, or Scikit-learn.
- Computer Vision Expertise with working experience in object detection, image segmentation, and handling noisy, real-world visual data.
- Experience building scalable data pipelines and working with Azure cloud platforms (or AWS/GCP).
- Strong understanding of statistical modeling, predictive analytics, and experimentation methodologies.
- Strong communication and collaboration skills in multidisciplinary engineering environments
- Self-driven mindset with the ability to operate effectively in a fast-paced startup environment
- Nice to Have
- Experience with edge AI or NVIDIA Jetson platforms.
- Experience with robotics, autonomous systems, or industrial automation.
- Experience with cloud-native software architecture and full-stack development.
- Experience with LLMs, agentic AI systems, or AI-assisted decision platforms.
Why Join Robotiz3d?
- Help build cutting-edge AI systems with real-world impact on public infrastructure and transportation safety.
- Work on challenging multidisciplinary problems spanning robotics, AI, sensing, cloud platforms, and edge computing.
- Join a fast-moving and highly collaborative engineering team.
- Opportunity to shape core technology and influence product direction as the company scales
- Competitive compensation, optional equity participation, and career growth opportunities.
- #J-18808-Ljbffr
Senior Data Scientist in Liverpool employer: Robotiz3d
At Robotiz3d, we pride ourselves on being a dynamic startup that fosters innovation and collaboration in the field of AI-driven robotics. Our team enjoys a vibrant work culture where creativity thrives, and employees are empowered to shape the future of infrastructure technology. With competitive compensation, equity participation options, and ample opportunities for professional growth, joining us means contributing to impactful projects while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in Liverpool
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Robotiz3d!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Scientist at Robotiz3d.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Robotiz3d.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Robotiz3d, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Scientist in Liverpool
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Robotiz3d, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Robotiz3d. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Robotiz3d
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Robotiz3d!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
