5 of 5 Logistic Regression Jobs in the UK excluding London

and Vertex AI (developing ML services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive More ❯

of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus. Structured thinking, strong problem-solving, and clear More ❯

of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus. Structured thinking, strong problem-solving, and clear More ❯

based on key findings from analysis · Create dashboards to answer key client questions within Power BI · With the assistance of senior analysts creating predictive models utilising methods such as Logistic Regression, CHAID and Clustering techniques · Answering quick questions using data to help guide business decisions · Developing and maintaining strong relationships with stakeholders · Peer review of colleague's work … analysing large volumes of data and a solid understanding of database principles and efficiencies desirable. Ideally in SQL server or Databricks. · Basic statistics: familiarity with averages, deviations, correlation and regression is required · A quality first approach to work, with a strong attention to detail. · Excellent written communication: creating clear, concise and actionable materials for the client. · Confident oral communication More ❯

years of experience in general insurance pricing or similar analytical roles. Strong data manipulation abilities with tools such as SAS, R, or Python. Understanding of predictive modelling approaches (e.g., logistic regression, GBMs). What's on Offer Hybrid & Flexible Working: Smart working options plus a minimum of 35 days' annual leave. Health & Well-being: Dental cover, health assessments More ❯