Data Scientist (Commercial / Customer / Operations)

About Our Client

Global Engineering Company

Job Description

The solutions that you develop will inform real, high-impact business decisions - driving top-line growth, optimising operational efficiency, and enhancing customer experience.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, including Sales, Finance, Manufacturing, Engineering and Marketing.
• Communicate insights to technical and non- technical stakeholders in a coherent and actionable way.
• In collaboration with Data Engineering colleagues, 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.
• Write, deploy, and maintain production-grade code, adopting best practices in source code management and version control.
• Mentor and/or manage junior members of the Data and Analytics team.

Key Skills / Experience:

• 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
• Existing knowledge/skills in the following are not essential, but would be highly advantageous:
• Generative AI solutions
• Microsoft Power BI
• Microsoft Azure cloud services (including Azure Synapse Analytics)
• Other programming languages (e.g. R, Java, C++)

• 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
• Existing knowledge/skills in the following are not essential, but would be highly advantageous:
• Generative AI solutions
• Microsoft Power BI
• Microsoft Azure cloud services (including Azure Synapse Analytics)
• Other programming languages (e.g. R, Java, C++)

What's on Offer

Opportunity to deliver enhanced analytics services in a global Plc

Opportunity to work with a broad Data Science community