Data Scientist

Company:
Location: Remote

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Data Scientist required by my client, a growing data specific, business transformation consultancy to join there rapidly expanding data analytics team. Exciting opportunity to help shape the technical and business landscape as well as delivering on a variety of challenging projects. You will responsible for the mining of data and statistical analysis in order to unlock complex datasets. You will be able to develop predictive models and demonstrate the math and statistics behind them in order to interpret and explain the model behaviour to both business and technical stakeholders. In addition, you will be experienced in the agile design and implementation of test models which ensure that exacting quality specification are met. In addition, as a Data Scientist you will also take responsibility for the application of NLP and machine learning techniques which assist clients in improving and extending classification and predictive capabilities.

My client has a strong training and accreditation ethos and looks to support career development through formal training opportunities and exciting project assignments.

Skills:

MUST have proven experience in Data Science roles, or equivalent, which demonstrate proficient experience in technologies and mythologies such as:

  • Python: scikit-learn, pandas, matplotlib
  • R, Studio, Shiny
  • SQL
  • Spark.

Demonstrable data visualization skills to communicate the results of analysis, utilising an array of suitable tooling such as:

  • PowerBI,
  • Tableau
  • Qlik

Hands on knowledge of building NLP and machine learning models to enable predictive analysis.
Educated to graduate level or a professional equivalent. Ideally PhD or MSc in Computer Science, Mathematics, Physics, Operations Research, Statistics, Econometrics or equivalent.
Ideally supported by further experience with technologies and methodologies such as utilising cloud-based technology and infrastructure to operationalise pipelines – hosted via IaaS and PaaS

*** Mention DataYoshi when applying ***

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