Senior Data Scientist

Salary - up to £80,000/year based on experience.

Robotiz3d is a fast-growing startup building next-generation AI-driven robotics and SaaS 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.

• 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 product ionize models into cloud and edge environments.
• Help define the long-term data and AI strategy for Robotiz3d’s intelligent infrastructure platform.

• MS or PhD 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 PyTorch, 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

• 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.

• 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.