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 Capco Engineering and global teams.
• Professional development and learning opportunities.
• Supportive, inclusive work culture.