51 to 75 of 76 Data Science Jobs in Scotland

Applied Scientist II (Machine Learning), ITA - Automated Performance Evaluation Sector: Data Science, Project and Program Management, Science and Pharmaceutical Role: Professional Contract Type: Permanent Hours: Full Time DESCRIPTION Do you want a role with deep meaning and the ability to make a major impact? As part of … opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to … tier peer-reviewed conferences or journals - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Experience in building machine learning models for business application PREFERRED More ❯

they can better work with you to keep risk placement recommendations current and responsive. The company is an equal employment opportunity employer. Responsibilities The Data Analyst will engage in a wide variety of projects central to enhancing Berkley Custom analytics and reporting capabilities within the actuarial team. Key functions … recurring and ad hoc reports for a multitude of audiences across all products, regions, and management to support business needs and underwriting results. Performing data validations and reconciliations between various sources and reports with precision and attention to detail to ensure deliverables are accurate and effective. Preparing reports by … strategic decisions in reaching profitability and growth goals. Developing and maintaining Financial Planning, Budgeting, and Forecasting visuals. Analyzing complex business problems and issues using data from internal and external sources to provide insight to analysts and decision makers. Qualifications Bachelor's degree in a related field (mathematics, business, finance More ❯

Engineer to join our growing team. If you have a passion for stopping bad actors and excel in working with machine-learning models and data analytics over large datasets, this is your place. You are willing to learn new skills, eager to stay up to date, and to work … analyze potential detection gaps, propose projects and ideas, and define and implement a plan to make them real. Analyze large datasets to extract complex data patterns. Monitor changes in the threat landscape via automation and visualization techniques and develop models to identify new threats. You will have the opportunity … blog posts detailing your research findings. Minimum requirements: Background in cybersecurity, with a strong emphasis on threat detection. Solid experience in machine learning and data science, proficient in both supervised and unsupervised algorithms and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with large, real-world More ❯

the role: As an Insights Lead, you will play a key role in developing and shaping the insights' function, from the ground up driving data-led decision-making across Diligenta Customer Services. You will design and deliver strategies that harness customer and commercial insights, predictive analytics, and operational data … customer satisfaction, increase revenue, and support long-term strategic planning. In this role, you will need to be an expert in value add analysis, data science, coupled with strong commercial understanding and the ability to communicate complex information with clarity. You'll turn data into actionable insights … AI applications. A strong understanding of UK Financial Services/L&PI industry, including market trends, competitive landscape and relevant business landscape. Experience using data visualisation tools such as Tableau, Power BI, or similar. Proven experience working with customer satisfaction metrics and interpreting insights from their analysis. If you More ❯

by being practitioners ourselves. We are on an exciting journey together, and not everything is solved yet. BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field, or equivalent practical experience 5+ years in Software Development and Cloud Computing building performant 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 ❯

AI platform in their market. They help their clients service customers with unmatched speed and accuracy. The Opportunity: There're looking for a Senior Data Scientist with deep experience in computer vision to join a high-performance team. Youll help push the boundaries of visual defect detection and predictive … optimising workflows in Azure Machine Learning (AML) for both dev and prod Develop and execute best practices for experimentation enabling the team to make data informed decisions Contributing to the end-to-end AI pipeline from data ingestion to production deployment Were looking for: 4+ years in applied … data science with a proven record of delivering value Hands-on experience with Azure , yolo , and OpenCV Proven track record training custom image models on real-world datasets Experience deploying to Azure ML production pipelines Experience with LLMs in production settings Strong understanding of model evaluation, data More ❯

certainty, and reduce price/volumetric volatility. Use quantitative and qualitative analysis to help clients enter new markets and drive growth. Develop strategies leveraging data science for decision-making in investment, trading, and other quantitative domains, aligning with clients' business goals. Utilize advanced analytics, machine learning, and predictive … capital markets. You have a flair for breaking down problems into logical parts and constructing clear reasoning and analyses, using quantitative analysis methods, statistics & data-driven thinking. You have energy and drive, a passion for continuous learning and mastering new topics, and an understanding of how forces like digital … in commodity marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA, R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work in the forefront of the commodity trading More ❯

Opportunity As Chief Product Officer and reporting directly to the CEO, you will lead a multi-disciplinary team of ~60 experts across hardware, software, data applications, and program management. Your mission is to deliver innovative, customer-centric products that drive business growth and global impact. The technology comprises various … or Director level role in a complex product engineering environment, preferably in a medium to large-scale international organisation A degree in Engineering, Computer Science, or a related field (advanced degree preferred) An inspiring and collaborative leadership style and approach with strong communication skills Evidence of scaling complex products … and managing multi-disciplinary engineering teams A whole-systems thinker with experience in industrial automation, electronics, data science, and AI Strong commercial acumen More ❯

Opportunity As Chief Product Officer and reporting directly to the CEO, you will lead a multi-disciplinary team of ~60 experts across hardware, software, data applications, and program management. Your mission is to deliver innovative, customer-centric products that drive business growth and global impact. The technology comprises various … or Director level role in a complex product engineering environment, preferably in a medium to large-scale international organisation A degree in Engineering, Computer Science, or a related field (advanced degree preferred) An inspiring and collaborative leadership style and approach with strong communication skills Evidence of scaling complex products … and managing multi-disciplinary engineering teams A whole-systems thinker with experience in industrial automation, electronics, data science, and AI Strong commercial acumen More ❯

as Investments, Insurance, F&B and CPG. The founders have proven experience in building a consultancy from scratch and exiting, having previously built a Data Science consultancy and successfully sold to a ‘big 4’ , they are on course to replicate their success here. This has fuelled rapid growth 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 ❯

At Capgemini Invent, we bring to life what's next for our clients. By combining strategy, technology, data science, and creative design expertise with an inventive mindset, we partner with our clients to innovate and transform their business, helping them navigate today, while plotting a course for the … their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 12,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth. Capgemini Invent … address the entire breadth of their business needs, from strategy and design to operations, fuelled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2023 global revenues of €22.5 billion. Our brand promise "Get The Future You More ❯

and provide technical leadership to other modelling staff as a leader in an urban drainage environment with an excellent client service focus. Experience in data science would also be beneficial, but is not essential. Most importantly, you'll embody our values and ethos of client focus and service 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 ❯

s still an exciting journey ahead. Join us at the heart of trust. As part of the MLOps team, you'll work closely with data scientists, software engineers, and other stakeholders to bring machine learning models to life-ensuring they're deployed, maintained, and monitored efficiently in production. You … to improve model performance and infrastructure, all while contributing to Trustpilot's AI-based solutions. What you'll be doing: Model Deployment: Collaborate with data scientists to take machine learning models from development to production, ensuring quality work and scalability. Build Pipelines: Develop and maintain data and model … Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines for machine learning (e.g., Vertex AI). Experience with data processing frameworks and tools, particularly Apache Beam/Dataflow is highly desirable. Knowledge of monitoring and maintaining models in production. Proficiency in employing containerization 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 ❯

MarTech Architect to join our team you will do the following; Drive requirements and design to identify and recommend workable solutions to clients across data driven marketing, single view of the customer, and marketing technology Drive platform selection to select the best technology platforms for the job Create architecture … meet client requirements Work with the project management to develop the overall implementation solution plan Collaborate with team members from multiple disciplines, including Designers, Data Scientists, Software Engineers, Clients and Business Stakeholders to help identify key areas for innovation, define and refine the challenge statement and propose solution hypotheses … technology client representatives to gather functional and technical requirements Keep informed of the latest technology trends and innovations especially in the areas of customer data platforms, marketing automation, data integration, master data management, marketing resource management, digital asset management, web content management, mobile, and social media Be More ❯

MarTech Architect to join our team you will do the following; Drive requirements and design to identify and recommend workable solutions to clients across data driven marketing, single view of the customer, and marketing technology Drive platform selection to select the best technology platforms for the job Create architecture … meet client requirements Work with the project management to develop the overall implementation solution plan Collaborate with team members from multiple disciplines, including Designers, Data Scientists, Software Engineers, Clients and Business Stakeholders to help identify key areas for innovation, define and refine the challenge statement and propose solution hypotheses … technology client representatives to gather functional and technical requirements Keep informed of the latest technology trends and innovations especially in the areas of customer data platforms, marketing automation, data integration, master data management, marketing resource management, digital asset management, web content management, mobile, and social media Be More ❯

MarTech Architect to join our team you will do the following; Drive requirements and design to identify and recommend workable solutions to clients across data driven marketing, single view of the customer, and marketing technology Drive platform selection to select the best technology platforms for the job Create architecture … meet client requirements Work with the project management to develop the overall implementation solution plan Collaborate with team members from multiple disciplines, including Designers, Data Scientists, Software Engineers, Clients and Business Stakeholders to help identify key areas for innovation, define and refine the challenge statement and propose solution hypotheses … technology client representatives to gather functional and technical requirements Keep informed of the latest technology trends and innovations especially in the areas of customer data platforms, marketing automation, data integration, master data management, marketing resource management, digital asset management, web content management, mobile, and social media Be More ❯

operation spans over 20 countries across the globe. As a Power Systems Engineer in Camlin, you will work within a multi-disciplinary team of data engineers, software engineers and data scientists to deliver innovative solutions to support distribution network operators’ (DNOs) business needs. You will act as a … methodologies, where required. Design, develop, document and test robust, efficient and novel algorithms to meet project requirements, consulting appropriate literature when required. Analyse field data to validate, troubleshoot and enhance the models and algorithms. Act as a subject matter expert on UK distribution power systems within multidisciplinary project teams. More ❯

that enhance our manufacturing operations. From optimizing control systems to implementing smart manufacturing projects, your work will directly contribute to a more sustainable future. Data-Driven Insights: Dive into the world of digital technologies, AI, and data science. Gain hands-on experience with the latest tools and techniques … and implement design improvements, upgrade and install control systems, and ensure compliance with international standards. Smart Manufacturing: Get involved in innovative projects that leverage data and technology to transform our manufacturing processes. Cybersecurity: Identify and mitigate potential cybersecurity risks related to our operational technology. Regulatory Knowledge: Learn about working More ❯

sports using cutting edge technology. From bare metal to cloud, Sportable is a multidisciplinary mecca for sports and technology enthusiasts. If you're a data scientist, computer scientist, physicist, sports scientist, engineer, business graduate, graphic designer, mechanical designer, creative or just passionate about the intersection of elite sports and … days required in the office each week. Location: Collingwood, Melbourne VIC 3066 Required Skills/Experience: Bachelor's degree or higher in Computer Science, Game Design, Interactive Media, a related technical discipline, or equivalent experience. 3+ years of experience in software development, with a proven track record in leading … complex projects. Expert-level proficiency in Unreal Engine, including systems, tools, feature sets and plugin creation. Advanced expertise in C++, particularly in real-time data processing and optimization within Unreal Engine. Exposure to working on AWS or Google Cloud Platform. Extensive experience with real-time rendering, data-driven More ❯

Job Description AtkinsRéalis are looking to recruit an Information Manager to join the Data and Information Management team within our Infrastructure division. We can be flexible around your location - with the role potentially being based from any AtkinsRéalis UK office. As part of our growing commitment to the digitization … of the built environment, innovation in digital engineering and design, and the rising importance of information and data management in the construction sector, we are looking to find new talent to support our growing Data and Information Management team on some of our largest infrastructure programmes. As one … information management, to the application of user-focused discovery and service delivery - we have a vision for change. Our global programme to connect People, Data and technology is focused on delivering beyond expectations, creating a sustainable more resilient net zero future, changing the game, pushing the limits, and engineering More ❯