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Data Scientist for Operational Excellence

1 month ago

Birmingham, Birmingham, United Kingdom Michael Page Full time

Michael Page is seeking a skilled Data Scientist to join their team and contribute to the company's operational excellence. This exciting opportunity involves working with complex data sets to deliver enhanced efficiencies, process optimisation, and analytics for commercial growth.

About the Role

The successful candidate will have a graduate or post-graduate university degree in a quantitative discipline, plus a minimum of 3 years' experience in a Data Science or Data Analysis role. They will be responsible for conducting in-depth exploratory data analysis (EDA) on datasets, translating findings into clear, actionable insights.

Additionally, they will develop and deploy cutting-edge AI web applications to drive decision-making in multiple areas of the business, including Sales, Finance, Manufacturing, Engineering, and Marketing.

In collaboration with Data Engineering colleagues, they will build cloud-based Extract Load Transform (ELT) pipelines that provide high-quality datasets for analysis and modelling.

They will also develop tools and code libraries to help Data Science colleagues work more efficiently and mentor junior members of the Data and Analytics team.

Key Responsibilities
  • Conduct in-depth exploratory data analysis (EDA) on datasets, translating findings into clear, actionable insights.
  • Develop and deploy cutting-edge AI web applications to drive decision-making in multiple areas of the business.
  • Build cloud-based Extract Load Transform (ELT) pipelines that provide high-quality datasets for analysis and modelling.
  • Develop tools and code libraries to help Data Science colleagues work more efficiently.
  • Mentor and/or manage junior members of the Data and Analytics team.
Required Skills and Qualifications
  • Graduate or post-graduate university degree in a quantitative discipline (such as Mathematics, Computer Science or Engineering), plus a minimum of 3 years' experience in a Data Science or Data Analysis role.
  • Certifications in Data Science.
  • Comfort manipulating, analysing and visualising complex, high-volume, high-dimensionality data from varying sources.
  • Demonstrated experience with advanced analytical techniques such as machine learning, deep learning and/or Bayesian statistics.
  • Highly proficient in Python.
  • Highly proficient in SQL and the use of relational databases.
  • Advanced user of Microsoft Excel.
  • Generative AI solutions.
  • Microsoft Power BI.
  • Microsoft Azure cloud services (including Azure Synapse Analytics).
  • Other programming languages (e.g. R, Java, C++).
Estimated Salary

£60,000 - £80,000 per annum, depending on experience.