Data Scientist
Tasks
- Advance modelling capabilities with data science team
- Analyze client datasets to identify risk patterns
- Apply classification clustering and anomaly detection
- Build data science prototypes for data ingestion and model execution
- Collaborate with clients on data and compliance requirements
- Design, develop, and deploy machine learning models
- Develop new models for emerging risks
- Enhance platform with product and engineering teams
- Ensure model interpretability using explainability techniques
- Install configure and optimize AML models
- Reduce false positives and false negatives
Perks/Benefits
- Annual leave
- Flexible work schedule
- Fully in office option
- Gym membership discounts
- Hybrid work option
- Income protection
- Life insurance
- Pension plan
- Private healthcare
- Wellbeing programme
- Work from anywhere
Skills/Tech-stack
Anomaly Detection | Classification | Clustering | Docker | Entity recognition | Explainable AI | Go | Graph Databases | Machine Learning | Named Entity Recognition | NumPy | Pandas | PostgreSQL | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Series analysis | Supervised Learning | TensorFlow | Time Series | Time Series Analysis | Unsupervised Learning
Education
N/A
Roles
Regions
Countries
States
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