4 of 4 Data Visualisation Jobs in Scotland

GRADUATE BUSINESS INTELLIGENCE ANALYST About the role The Business Intelligence Analyst will become a key contributor to initiatives that continue the evolution of data reporting and visualisations across Alex Begg Group and support the development and implementation of data governance and reporting strategies to enable the business to derive data driven insights. The successful … candidate will assist with the development of an "ERP first" data driven culture focusing on a single source of truth based on accurate, documented and complete data sets with a view to increasing the use of AI and automation tools to manipulate and/or gain insights from data. This role will be hybrid with at … data analysis principles to any future system projects or projects with a significant data element that the business undertakes Skills · Familiarity with data visualisation, dashboarding and reporting concepts and exposure to Power BI or similar tools · Familiarity with concepts of data transformation and preparation. · Basic proficiency in SQL for querying and More ❯

Data Apprenticeship Duration 4.5 years Salary £26,500 plus fantastic benefits Where youll be Leeds, Birmingham or Edinburgh . Youll need to be flexible. M ix office and home working with our hybrid working policy . Qualification Level 4 Applied Data and AI Specialist with BPP. S uccessfully complete that and you ll move on to … us. Along the way, youll dive into: SQL and advanced data joins (yes, the fun kind) Predictive modelling & forecasting (basically, time travel with stats) Data visualisation & storytelling (making numbers talk) Analytics lifecycles & data democratisation Statistical programming languages Building data products people actually use By the end, you wont just know data. … choices Build dashboards that leaders cant live without Make data accessible, ethical and useful for everyone Your skills toolkit Youll master: SQL, Python and other stats superpowers Visualisation that makes people go ohhh, now I get it Forecasting and modelling AI literacy and applied analytics Turning complexity into clarity Support in your corner Well set you up More ❯

Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate … with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience … to work independently or in a team. Typically, 5+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role. Proficiencies in data cleansing, exploratory data analysis, and data visualization Continuous learner that stays abreast with industry knowledge and technology Why Join Us? Work on impactful AI projects More ❯

technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines … using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural decisions Contribute … to the mentoring and development of junior team members. Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle More ❯