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About the Role
We are seeking experienced data scientists to join our programme and work with the existing delivery team to develop models, documentation, and productionised services.
Responsibilities
- Design and develop AI/ML based solutions
- Collaborate with other data scientists to build and deploy production-level solutions
- Troubleshoot and debug code
- Work with cross-functional teams to understand and solve business problems
Requirements
- 3-5 years of experience in the specialist field
- Solid knowledge and experience of AI and ML
- Proficiency in Python (pandas, NumPy, scikit-learn)
- Proficiency in SQL for querying structured data
- Experience with model development and validation including classification, unsupervised learning, and ranking models
- Familiarity with containerised deployment such as Podman, SageMaker, or DSW pipelines
- Experience with Git for version control
- Experience with time-series analysis
- Experience with exploratory data analysis
Skills
- Python
- pandas
- NumPy
- scikit-learn
- SQL
- Model Development
- Model Validation
- Classification
- Unsupervised Learning
- Ranking Models
- Machine Learning Deployment
- Podman
- SageMaker
- DSW pipelines
- Git
- Time-Series Analysis
- Exploratory Data Analysis
- Rank Aggregation
- Ensemble Techniques
- Robust Rank Fusion
- SHAP
- LIME
- Model Monitoring
- Drift Detection
- RegTech
- FinCrime
- Record Linkage
- Network Analytics
- Graph query languages
- Gremlin
- Cypher
- Neptune
- Neo4j
Location
- London, UK
Work Type
- Hybrid
- 3 days WFO
- 6-month contract
Experience Level
- 3-5 years
Salary/Compensations
- 300 - 500 GBP Per day