6 of 6 Data Cleansing Jobs in Scotland

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts. If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could … have a truly rewarding future within Data Science. We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science. Our career program is designed for entry level individuals ...

Data Management Associate Manager Location: Edinburgh Salary : Competitive salary package depending on experience Career Level: Associate Manager Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. … solutions with metadata repositories and data governance platforms Provide technical guidance and best practices for data profiling, cleansing, and validation Explore and apply AI-driven techniques (e.g., GenAI) to enhance data quality automation and anomaly detection. ...

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 … work independently or in a team. Demonstrated relevant industry experience, including time spent 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 ...

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 … work independently or in a team. Demonstrated relevant industry experience, including time spent 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 ...

fallbacks, and graceful degradation Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans) Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals Collaborate directly with the Head Trader to translate strategy goals … Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies ...

build experience in the tech industry. This internship is ideal for recent graduates, career changers, or early-career professionals looking to strengthen their data skills, gain real-world project experience, and receive mentorship from industry experts. What our client offers: Perform data cleaning, processing … analysis tasks Create dashboards and data visualisations Extract insights from data to support internal reporting Learn and apply industry tools such as Excel, SQL, or Python (depending on your background) Receive mentorship from experienced professionals in data analytics ...