Predictive Modeling Specialist

Summary

[Employer hidden — view at passion-project.co.uk] is hiring a Predictive Modeling Specialist to design, develop, and validate predictive models using statistical and machine learning techniques. The role involves analyzing historical data, collaborating with various teams, enhancing model performance, and communicating results. The ideal candidate will have a strong background in statistics, data science, and related tools.

Key Responsibilities

• Designing, developing, and validating predictive models using statistical and machine learning techniques
• Analyzing historical data to forecast trends, behaviors, and outcomes across domains
• Collaborating with data scientists, analysts, and stakeholders to deliver actionable insights
• Enhancing model accuracy, interpretability, and deployment performance
• Leveraging tools like Python, R, SQL, and cloud-based analytics platforms
• Communicating model results and recommendations clearly to technical and non-technical audiences

Core Requirements

• Strong background in statistics, data science, or predictive analytics
• Experience with machine learning techniques like regression, decision trees, random forests, and gradient boosting
• Proficiency in tools like Python (scikit-learn, XGBoost), R, SQL, and visualization libraries
• Familiarity with cloud platforms (AWS, GCP, Azure) and data pipeline workflows
• Ability to balance model performance with interpretability and business relevance
• Degree in Statistics, Data Science, Mathematics, or a related field (MSc/PhD preferred)