Proactive.IT Appointments Ltd.
Lead Data Scientist
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Lead Data Scientist
# Lead Data Scientist – Credit Modelling & Data Products
About The Role
My client is constructing a next-generation data and analytics capability, leveraging large-scale financial datasets—spanning millions of records—to transform raw data into predictive insights, industry intelligence, and innovative data products with tangible business value.
This is a rare opportunity to join a small, high-impact innovation team, working directly alongside executive leadership. In this role, you will take ownership of the most complex technical challenges, covering every stage from data analysis, predictive modelling, and model validation to full production deployment, all within a regulated financial services environment.
As Lead Data Scientist, you will design, build, and governance predictive models that underpin data-driven products and guide strategic decisions. Collaboration across engineering and product teams will be key as you transform raw data into auditable, robust, and commercially impactful solutions.
Key Responsibilities
Data Pipeline & Modelling
- Partner with engineering teams to extract, cleanse, and consolidate large-scale customer datasets into modelling-ready environments.
- Develop credit and predictive models tailored for regulated financial services and credit risk environments.
End-to-End Data Science Lifecycle
- Conduct Exploratory Data Analysis (EDA) and drive feature engineering & selection.
- Develop, validate, and optimise predictive models while maintaining reproducibility and governance.
- Calibrate and monitor model performance, ensuring resilience against concept drift, target leakage, and regulatory risks.
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Risk & Product Applications
- Build forecasting models, simulations, and stress-testing frameworks for risk management and product decisions.
- Deploy production-ready models with embedded monitoring, retraining logic, and validation controls.
Commercialisation & Governance
- Collaborate with stakeholders to transform high-level concepts into scalable data products.
- Contribute to model governance frameworks, ensuring alignment with regulatory requirements, explainability needs, and commercial impact.
Skills & Experience
Technical Proficiency
- Expert-level mastery of Python (Pandas, NumPy, Scikit-learn, XGBoost/LightGBM) and SQL.
- Hands-on experience with Snowflake, BigQuery, or equivalent cloud data warehouse platforms.
- Strong command of Git-based version control and reproducible workflow principles.
Credit & Predictive Analytics
- Proven track record in rigorous EDA, feature engineering, and predictive modelling (e.g. Probability of Default (PD), scorecards).
- Demonstrable expertise in risk segmentation, رأسها declined application models, and automated decision-making tools.
- Breadth of knowledge in model performance metrics: AUC, Gini, KS statistics, calibration, and business impact assessment.
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Compliance & Regulatory Alignment
- Experience navigating Model Risk Management frameworks, including formal documentation/validation for audits.
- Working knowledge of GDPR, explainability (e.g. fairness, bias mitigation), and autonomous systems regulations (e.g., EU AI Act).
- Familiarity with security-by-design practices for PII, financial, and customer data.
Who We’re Looking For
- A passionate builder with a knack for turning data into measurable business outcomes.
- A self-starting innovator who excels in fast-paced, hypothesis-driven environments.
- An analytical problem-solver who bridges technical detail with commercial intuition.
- Confident delivering high-quality models while balancing explainability, scalability, and regulatory compliance.
Working With Us
- Shape a new capability: Contribute to building an end-to-end data products function from scratch.
- Direct executive exposure: Work closely with senior leaders on core strategic challenges.
- Financial & credit expertise: Tackle complex, real-world datasets across banking, securitisation, and credit risk.
- Collaborative culture: Join a team prioritising innovation, ownership, and impact.
- Autonomy & scale: Enjoy a flexible hybrid model within a small but high-performing group.
If you thrive where analytics meets action, we’d love to share an opportunity to make bold predictions in financial data.
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