Data Scientist

📋 Description Design, develop, and deploy predictive time series models. Perform data exploration, feature engineering, and modelling. Build scalable data pipelines in Azure ML and Databricks. Collaborate with business and technical teams to define requirements. Monitor models in production and ensure governance. Create documentation and communicate results to stakeholders. 🎯 Requirements Strong commercial experience as Data Scientist or Machine Learning Engineer. Advanced proficiency in Python. Demonstrable experience developing Time Series Forecasting Models. Strong understanding of statistics, probability, and predictive modelling techniques. Experience with ML frameworks and model validation methodologies. Experience collaborating with cross-functional teams; strong communication. 🎁 Benefits Flexible collaboration model on a B2B contract. Opportunity to work on diverse projects in finance domain. Hybrid work arrangement (office + remote). Collaboration with Brightpath Technologies Engineering and global teams. Professional development and learning opportunities. Supportive, inclusive work culture.