Senior Data Scientist - 75+ Million Consumers Platform

• Developing and refining predictive models for ranking, recommendation, and yield optimisation
• Applying ML and statistical techniques to large-scale behavioural datasets
• Driving feature engineering and defining core data concepts for feature stores
• Running offline model evaluation, experimentation, and performance diagnostics
• Identifying opportunities to expand ML across business and product areas
• Translating business questions into robust modelling approaches and insights

• 3+ years’ experience in Data Science / ML modelling roles
• Strong foundation in machine learning & statistical modelling (classification, regression, ranking)
• Experience with recommendation, ranking, or personalisation systems
• Strong Python skills (scikit-learn, XGBoost/LightGBM, PyTorch or TensorFlow)
• Strong SQL skills and experience with large-scale datasets (Snowflake, BigQuery, Redshift etc.)

This is an opportunity to work on high-impact, data-rich problems where modelling directly influences product performance and business outcomes at scale.