At a Glance
- Tasks: Lead the development of predictive models and data products in finance.
- Company: Join a high-impact team in a regulated financial services environment.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities.
- Why this job: Make a real impact by transforming data into actionable insights.
- Qualifications: Strong Python, SQL skills, and experience in credit risk modelling.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking an experienced Lead Data Scientist to join a high-impact team developing predictive analytics and data products within a regulated financial services environment.
Location - London
Contract – Inside IR35
Working Pattern - Hybrid
Skills Experience
This role will focus on transforming large-scale customer datasets into robust, auditable predictive models, supporting forecasting, risk analysis and commercial data products.
- Strong Python (Pandas, NumPy, Scikit-learn) and SQL skills.
- Experience with Snowflake or similar cloud data platforms.
- Proven track record building predictive models in regulated financial services environments.
- Credit risk modelling experience, including PD models, scorecards or similar.
- Strong understanding of model governance, validation and audit requirements.
- Experience with GDPR and AI governance frameworks.
Key responsibilities
- Build and deploy predictive and credit risk models.
- Lead exploratory data analysis, feature engineering, model validation and monitoring.
- Develop forecasting, simulation and stress-testing models.
- Work with data engineering teams to create modelling-ready datasets using Snowflake.
- Ensure models and processes meet regulatory standards.
Lead Data Scientist employer: Proactive Appointments
Join a forward-thinking company in London that values innovation and collaboration, offering a dynamic work culture where your expertise as a Lead Data Scientist will directly impact the development of cutting-edge predictive analytics in the financial services sector. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to work alongside industry leaders, all while enjoying the flexibility of a hybrid working pattern that promotes work-life balance.
