Job description

Data Scientist Birmingham - Hybrid working 1-2 days a month on site Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments.Ability to integrate ML workflows into large-scale data pipelines. Strong experience in data preprocessing, feature selection, and statistical modelling.

Requirements