Data Scientist

Skills
JavaAnalytical SkillsData ManipulationData ScienceData VisualizationInterest RatesIntermediary
Role

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.