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Data Scientist
Skills
JavaAnalytical SkillsData ManipulationData ScienceData VisualizationInterest RatesIntermediary
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong Python experience applied to real-world machine learning and AI problems
- Recent hands on experience with NLP Large Language Models Generative AI and RAG solutions
- Additional programming languages such as R or Java beneficial
- Knowledge of machine learning algorithms and frameworks such as TensorFlow or PyTorch
- Experience building deploying and optimising production-ready AI and machine learning solutions
- Experience working with large datasets data manipulation and analysis tools
- Familiarity with statistical analysis and data visualisation techniques
- Experience with cloud platforms such as AWS or Azure
- Experience working in Agile teams
- Strong communication skills and ability to engage non-technical stakeholders
Nice to have
- Agile
- Hands-on
- Production-focused
- Collaborative
- Scalable
Day to day
- Develop and deploy machine learning models into production environments.
- Translate prototypes into scalable production-ready systems.
- Design build and maintain infrastructure data pipelines and AI solutions across NLP Generative AI and LLM use cases.