Data Scientist (Commercial / Customer / Operations)

Global Engineering Company are seeking a Data Scientist to support on operational and customer centric projects to deliver enhanced efficiencies, process optimisation and analytics for commercial growth Client Details Global Engineering Company Description Global Engineering Company are seeking a Data Scientist to support on operational and customer centric projects to deliver enhanced efficiencies, process optimisation and analytics for commercial growth. As a Data Scientist, you will combine your skills in statistical modelling and programming to generate business value from organisational data. 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++) Profile 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++)Job Offer Opportunity to deliver enhanced analytics services in a global Plc Opportunity to work with a broad Data Science community