Data Scientist
Tasks
- Apply natural language processing techniques
- Build ETL pipelines
- Build predictive and prescriptive financial models
- Collaborate with stakeholders to align models to business objectives
- Conduct feature engineering
- Develop and deploy machine learning models on AWS
- Develop multimodal model solutions
- Monitor models in production
- Optimize decision-making
- Perform data wrangling and cleansing
- Perform risk analysis
- Present insights and recommendations
Perks/Benefits
- Accreditations
- Bike to work
- Career progression
- Educational assistance
- Employee assistance program
- Employee discount
- Financial advice
- Fitness classes
- Flexible remote working
- Generous holiday allowance
- Gym discounts
- Incentivised certifications
- Life assurance
- Mentorship coaching
- Mindfulness workshops
- Pension
- Private healthcare
- Quarterly performance profit share
Skills/Tech-stack
AWS Glue | AWS Lambda | AWS SageMaker | Amazon Redshift | ETL | Feature Engineering | Hadoop | Language Processing | MLOps | Machine Learning | Model Monitoring | Multimodal AI | Natural Language | Natural Language Processing | Power BI | Predictive Modeling | PySpark | Python | SQL | Statistical modeling | Tableau | Transformers
Education
N/A
Roles
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