These roles will be crucial for two major programmes spanning the whole of 2025, this area focuses on forecasting the performance of new banking products in the market, calculating the Return on Investment (RoI), and comparing performance against other banks' products.

The data scientists will build data and forecasting models to provide insights into product performance and support business decision-making.

This will be a 6-month initial contract, with a high likelihood of further extensions.

Mostly remote, with occasional (once or twice a month) travel into Edinburgh.

• Build predictive and forecasting models to analyse the performance of new banking products.
• Develop and maintain data models to support business decisions.
• Collaborate with finance teams to understand requirements and deliver insights.
• Utilise Python and Spark/PySpark for data analysis and model building.
• Support data migration and ensure data integrity.
• Analyse data to calculate Return on Investment (RoI) and compare product performance with competitors.

• 2+ years of experience in data science.
• Background in data engineering.
• Proficiency in Python and Spark/PySpark.
• Experience in building predictive and forecasting models.

• Experience in the banking sector is a plus.
• Strong SQL skills.
• Knowledge of machine learning techniques.

Edinburgh, UK

450.00 - 500.00 GBP Daily

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