AVP- Data Scientist
صاحب العمل نشط
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
شارك هذه الوظيفة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
الوصف الوظيفي
1. Advanced Analytics Product Development
- Design and build machine learning models aligned to core personal banking priorities
- Identify commercially viable use cases in collaboration with product marketing and business stakeholders
- Drive the development of analytics products that are scalable measurable and operationally robust
2. Model Development and Lifecycle Management
- Build test and deploy machine learning models into production environments
- Ensure models are aligned with Model Risk Management standards and delivery governance
- Monitor model performance and lead retraining or recalibration processes as needed
3. MLOps and Operationalisation
- Implement production-ready model pipelines using CI/CD tooling and automated monitoring
- Ensure continuity of performance and data integrity throughout the lifecycle
4. Feature Engineering and Data Exploration
- Lead the extraction and transformation of raw data into high-quality features
- Conduct deep EDA to identify trends correlations and value-driving insights
- Understand and navigate complex banking datasets including transactional behavioural and product data
5. Business Engagement and Communication
- Present modelling outcomes and insights to senior non-technical stakeholders with clarity and precision
- Translate business opportunities into concrete data science initiatives
- Provide clear recommendations and options based on data-driven insights
6. Innovation and Delivery Focus
- Develop and prototype new modelling techniques and innovative data products with a commercial lens
- Prioritise delivery and measurable value over theoretical perfection
Contribute to the development of reusable frameworks and accelerators to optimise delivery methodologies for data science teams
Qualifications :
Required Experience and Skills:
- 5 years of applied data science experience in a banking environment
- Proven track record of deploying production-grade models with ongoing performance management
- Strong hands-on skills in SQL Python and ML libraries (e.g. scikit-learn XGBoost)
- Demonstrated experience in feature engineering and large-scale data handling
- Familiarity with MLOps pipelines and tooling for monitoring and automation
- Strong commercial acumen and ability to scope and deliver high-impact use cases
- Excellent presentation communication and stakeholder engagement skills
- Deep understanding of model governance standards and regulatory expectations
Preferred Qualifications:
- Experience with platforms such as Dataiku and Databricks is a significant bonus
- Strong Retail banking domain knowledge
- Proven experience with statistical modelling mastery
- Bachelors or Masters degree in a quantitative field (e.g. Computer Science Statistics Engineering)
Experience working in cloud environments (Azure AWS or GCP)
Remote Work :
No
Employment Type :
Full-time
نوع التوظيف
دوام كامل
