3 of 3 Permanent Exploratory Data Analysis Jobs in Scotland

edge 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 tools: MLflow, Kubeflow More ❯

TensorFlow, 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 in PySpark … ability 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 ❯

Entry-Level Data Analyst – Finance Location: Glasgow, UK (G1 3SL), Flexible/Hybrid Working Options Available About Our Client: Our client is a forward-thinking financial organisation based in the heart of Glasgow’s city centre . Known for embracing innovation and data-led decision-making, they support a range of financial services across public and private sectors. … With a focus on developing early-career talent, they are seeking an Entry-Level Data Analyst to join their team and grow within a supportive, fast-paced environment. Role Overview: This role is ideal for graduates or junior professionals looking to gain real-world exposure in financial analytics. You will work alongside experienced analysts and finance professionals to deliver … insights that influence critical business outcomes. Responsibilities: Collect and validate financial data from internal systems and external datasets. Conduct exploratory data analysis to spot patterns, trends, and anomalies. Develop and update dashboards and reporting tools to support finance teams. Translate raw data into clear, actionable insights for non-technical stakeholders. Support ongoing projects around forecasting More ❯