Data Scientist
Tasks
- Collaborate with MLOps to deploy models
- Collaborate with data and technology teams on data collection and refinement
- Collate results from in market tests
- Communicate insights to technical and non-technical stakeholders
- Define data requirements and extract data
- Design scalable data-driven solutions
- Develop data-driven models and tools
- Ensure data science model integrity
- Partner with revenue team for trading performance optimization
- Perform exploratory data analysis
- Solve business problems with machine learning
- Support BAU data science services
- Validate solutions with testing plans
Perks/Benefits
- Bike to work scheme
- Coaching
- Flexible working
- Generous time off
- Health insurance
- On-site parking
- Option to work abroad
- Paid leave
- Pension matching
- Study support
- Subsidised canteen
- Training
- Wellbeing programmes
Skills/Tech-stack
Dashboarding | Data Analysis | Data Mining | Data Visualization | Dimensional data | Exploratory Data Analysis | Feature Engineering | GenAI | Git | High Dimensional Data | MLOps | Machine Learning | Model Deployment | PyTorch | Python | Relational databases | SQL | Statistical modeling | Tableau | TensorFlow | ThoughtSpot
Education
Roles
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