Data Scientist
Tasks
- Build feature pipelines
- Build machine learning models
- Collaborate with BI team
- Deploy AI use cases
- Deploy machine learning models
- Design machine learning models
- Design visualizations of statistical outputs
- Document code
- Ensure code reproducibility
- Ensure data availability for modeling
- Evaluate generative AI capabilities
- Frame data science problems
- Generate actionable business insights
- Integrate predictions into BI dashboards
- Integrate recommendations into operational workflows
- Monitor model performance
- Oversee model lifecycle
- Perform feature engineering
- Present results to non-technical stakeholders
Perks/Benefits
- Bonus pay
- Car allowance
- Company pension
- Discounts
- Employee assistance programme
- Flexible hours
- Flexible public holidays
- Gym memberships
- Life assurance
- Paid time off
- Private healthcare
- Smart working policy
Skills/Tech-stack
Azure Synapse | Cloud Computing | Feature Engineering | Feature Stores | Generative AI | LLM | Machine Learning | Microsoft Fabric | OpenAI | Pandas | Power BI | PyTorch | Python | Scikit-learn | StatsModels | Supervised Learning | TensorFlow | Unsupervised Learning
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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