Data Scientist

As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy., * Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation

• Developing classification, regression and clustering models using customer and transactional data
• Working closely with clients and stakeholders to understand business problems and define analytical approaches
• Leading data discovery sessions and gathering requirements from subject matter experts
• Presenting insights, recommendations and model outputs to both technical and non-technical audiences
• Monitoring, refining and retraining models to ensure ongoing performance
• Collaborating with analysts, project managers and industry specialists to deliver client projects
• Contributing to reports, dashboards and client presentations

• Strong commercial Data Science experience within predictive modelling
• Advanced Python and SQL skills
• Experience building classification, regression and clustering models from the ground up
• Strong understanding of model performance, validation and optimisation
• Confident communicating insights to technical and non-technical stakeholders
• Experience with modern cloud and data platforms such as Databricks, AWS, Azure or Snowflake
• Exposure to customer analytics, credit risk, collections, telecommunications or utilities is advantageous
• Comfortable taking ownership of projects and working independently

They are a well-established data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Their work focuses on customer intelligence, predictive modelling and analytics solutions that deliver measurable business outcomes.

Working across multiple industries, they partner with clients to solve challenges around customer acquisition, retention, collections, marketing effectiveness and operational performance. Their teams combine industry expertise, analytics and modern data platforms to deliver impactful solutions.