Data Scientist - London, United Kingdom - Circle Recruitment

Circle Recruitment
Circle Recruitment
Verified Company
London, United Kingdom

1 month ago

Tom O´Connor

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Tom O´Connor

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Description
Data Scientist - Central London


Data Scientist with experience in machine learning / AI, Data science, Cloud, SQL, Python / R experience is required by a leading consultancy in Central London.


Experience ideally required:


  • Strong programming skills as evidenced by earlier work in data science or software engineering, including experience with standard libraries for data science (NumPy, Pandas, Scikit-Learn etc)
  • Generalist expertise across the entire data lifecycle including data strategy, data governance, risk and ethics, architecture, modelling.
  • Technology implementation including data on cloud (AWS, Azure or GCP).
  • Experience in Data Science, AI / Machine Learning, hyperautomation.
  • Analytics, visualisation, and business intelligence tools.
  • Experience in data modelling of any type: conceptual, logical, dimensional, or physical.
  • Experience of databases, data warehousing and ETL.
  • Extensive experience of completing complex data analysis and create proposals / provide recommendations on the back of analysis proficiency in data mining, mathematics, and statistical analysis
  • Solid knowledge of machine learning, natural language processing and ability to develop new algorithms.
  • Be an advocate of the advantages of using machine learning to increase efficiency in the data moving forward
  • Ideally some proven predictive modelling, forecasting or analytical experience with strong SQL, Python & R skills

Data Scientist Responsibilities:


  • Design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models.
- recommendation data and the expertise to create research evaluation models.

  • Collaborate with the Product team to develop products based on new data pipelines and models
  • Create data visualizations in collaboration with their technology teams
  • Champion data quality and integrity, highlighting data quality issues and suggesting appropriate solutions.
  • Share knowledge and experience, and analytical/modelling best practices as well as mentoring and development of team member skills
  • Design tailored data strategies and implement transformational change; enabling organisations to generate value from their data at pace.
  • Translate the data strategy into a realistic and agile implementation roadmap to deliver value quickly.
  • Shape the programme of work and support the successful delivery of large data and AI programmes with our data and technology experts.
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