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Data Scientist

Data Scientist (9087645) City of London, England

Salary: GBP80000 - GBP84000 per annum + + perm benefits

Data Scientist

London (Hybrid Working)

Up to £84,000

 

A leading financial organisation based in London is currently looking to recruit a Data Scientist for work within a growing Machine Learning Team. The successful Data Scientist will be responsible for

scaling out the NLP and Gen AI capabilities in optimizing our business process. More specifically you will be training and deploying custom LLM models, building Gen AI applications, developing, and maintaining ML Ops.

 

Key responsibilities

  • Delivering LLM and Gen AI based automations that supports the business team in enhancing the customer journey
  • Maintaining and retraining our existing machine learning models
  • Test driven development, clean code, and documentation
  • Building data transformation and inference pipelines
  • Delivering on agreed service levels, which you’ll agree with your manager – and your contribution to our commitments
  • API based development to integrate ML models with overall applications
  • Work with business stakeholders and project team to identify ML and IA opportunities, and understand and capture business requirements
  • Provide quality assurance on machine learning code developed by other team members
  • Works with the IT infrastructure owner for ongoing maintenance of IA infrastructure elements
  • Agreeing and recording the appropriate hours and story points of development time – making sure you deliver on expectations for how long testing will take

 

Skills

  • Having an excellent understanding of different machine learning techniques and ability to explain the methods in detail (regression, clustering, decision trees, reinforcement learning, gradient boosting, CNN, RNN, LSTM, Attention Models, Encoder and Decoder, Transformers, Vector semantics)
  • Solid programming experience in Python, Pytorch or TensorFlow, TDD experience essential
  • Developing serverless pipelines in Azure
  • Building and maintaining CI/CD pipeline in Azure Devops , Azure ML
  • Working in an agile development environment with the ability to communicate technical concepts and analytical outputs to a diverse set of stakeholders.
  • Being able to provide estimates against organisational requirements relating to cost and development tasks


 

 

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