10 of 10 Permanent Data Science Jobs in Dundee

Smart Services Engineering - Graduate Data Science/Analyst page is loaded Smart Services Engineering - Graduate Data Science/Analyst Apply locations DUNDEE, GBR time type Full time posted on Posted 9 Days Ago job requisition id R About NCR Atleos NCR Atleos, headquartered in Atlanta, is … optimize the branch, improve operational efficiency, and maximize self-service availability for financial institutions and retailers across the globe. Title: Smart Services Engineering - Graduate Data Science Engineer Grade: 9 Location: Dundee, UK Smart Services Engineering - Graduate Data Science Engineer We are looking for Graduates! Our University … be offered mentorship and resources to deliver company value and build your career. Who you are We seek STEM graduates with a background in Data Science or related fields who are passionate about data manipulation and analysis. You will work on challenging global projects requiring smart solutions More ❯

innovation. You will play a critical role in driving high-impact outcomes across the GTG organization. You will partner closely with Product Management, UX, Data Science, and other cross-functional stakeholders to build and evolve platforms, applications, and services that power the Grainger customer and team member experience. … Postman, APM tooling (Datadog) Tooling & Source Control GitHub, IntelliJ, Atlassian stack You Have: 5+ years of relevant experience Demonstrated experience working with analytics or data science teams in building or deploying data intensive applications. A bachelor's degree in computer science, engineering, or related study or … degree preferred. Ability to weigh multiple facets to make strong decisions in an enterprise environment with a diverse set of stakeholders Ability to use data to make decisions about the work and impact. Strong written and verbal communication skills, including the ability to conduct effective performance conversations. Exceptional interpersonal More ❯

team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams, this team will ensure that ML models transition smoothly from development to production, maintaining high availability, scalability, and … deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems. Strong communication and collaboration skills. More ❯

tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists. Responsibilities Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor … systems. Work with microcontrollers, microprocessors, and real-time operating systems (RTOS). Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control. Integrate software with various hardware components, including sensors, actuators, and communication modules. Participate in the full software development lifecycle, including … and system tests to ensure software quality and reliability. Troubleshoot and debug software and hardware issues in embedded systems. Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration. Contribute to the continuous improvement of our software development processes and tools. More ❯

tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists. Responsibilities Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor … systems. Work with microcontrollers, microprocessors, and real-time operating systems (RTOS). Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control. Integrate software with various hardware components, including sensors, actuators, and communication modules. Participate in the full software development lifecycle, including … and system tests to ensure software quality and reliability. Troubleshoot and debug software and hardware issues in embedded systems. Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration. Contribute to the continuous improvement of our software development processes and tools. More ❯

tangible impact. You will be involved in the full software development lifecycle, from requirements gathering to deployment and maintenance, working closely with hardware engineers, data scientists, and aquaculture specialists. Responsibilities Design, develop, and debug embedded software and firmware for a variety of aquaculture monitoring and control systems (e.g., sensor … systems. Work with microcontrollers, microprocessors, and real-time operating systems (RTOS). Implement communication protocols (e.g., MQTT, UART, SPI, I2C, Ethernet, Bluetooth, LoRaWAN) for data transmission and device control. Integrate software with various hardware components, including sensors, actuators, and communication modules. Participate in the full software development lifecycle, including … and system tests to ensure software quality and reliability. Troubleshoot and debug software and hardware issues in embedded systems. Collaborate effectively with hardware engineers, data scientists, and aquaculture experts to define system requirements and ensure seamless integration. Contribute to the continuous improvement of our software development processes and tools. More ❯

deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems.. If you have the skills and desire for this, then More ❯

deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems.. If you have the skills and desire for this, then More ❯

deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems.. If you have the skills and desire for this, then More ❯

deployments to ensure reliability and efficiency. Continuously improving the architecture, processes, and tools used for model deployment, monitoring, and lifecycle management. Collaborating closely with data scientists to understand and implement model requirements. Partnering with R&D teams to align technical strategies and integrate ML solutions into broader systems. Implementing … and cloud environments. Proficiency with containerization and orchestration tools (Docker, Kubernetes). Experience with version control systems and CI/CD pipelines. Knowledge of data engineering concepts (e.g., ETL, data pipelines). Ability to troubleshoot complex production systems.. If you have the skills and desire for this, then More ❯