Senior Data Scientist

I’m a Data Scientist with 6+ years of experience and a background in Statistics, specialising in Applied Machine Learning and turning complex business problems into production data solutions.

My experience spans Machine Learning, statistical modelling, Analytics Engineering and data products. I work across the full lifecycle of ML solutions, from problem framing and data modelling to experimentation, deployment, explainability, monitoring and business adoption, using Python, SQL, Databricks, PySpark, MLflow and dbt.

In my current role, I build and operate ML solutions for customer behaviour and value, including daily scoring at million-customer scale, and develop customer data products used across all business areas. My Analytics Engineering background allows me to work effectively with the data foundations behind ML systems, while experience with business-critical and regulated environments has strengthened my focus on reliability, data quality and operational impact.

I regularly collaborate in English with international teams and stakeholders, presenting models, benchmarking approaches and discussing technical and business decisions.