remote
Senior Data Scientist/Engineer - Commercial Optimisation - Worldpay
Data Scientist
Lead advanced analytics and machine learning initiatives to identify high‑value prospects and optimize commercial strategies in the payments sector, leveraging Python, SQL, and data engineering expertise.
About the role
Key Responsibilities
- Design, develop, and deploy propensity models to predict client engagement and conversion rates across global SMB markets.
- Extract, transform, and analyze large transactional and financial datasets using SQL and Python to uncover actionable insights.
- Collaborate with cross‑functional teams to translate business objectives into data‑driven solutions and iterate on model performance.
- Implement end‑to‑end data pipelines, ensuring data quality, scalability, and compliance with privacy regulations.
- Communicate findings and recommendations to stakeholders through clear visualizations and executive summaries.
Requirements
- 5+ years of experience as a Data Scientist and Data Engineer in a fast‑paced environment.
- Proficiency in Python, SQL, and machine learning libraries (scikit‑learn, XGBoost, etc.).
- Hands‑on experience building and deploying production‑grade models and data pipelines.
- Strong analytical mindset with the ability to translate complex data into business value.
- Familiarity with payments or financial services data is highly desirable.
Skills
pythonsqlmachine learning