Data Scientist (Commercial / Process Automation / GenAI)

Global Engineering Company is seeking a Data Scientist to support operational and customer-centric projects to deliver enhanced efficiencies, process optimization, and analytics for commercial growth. Client Details Global Engineering Company Description As a Data Scientist, you will combine your skills in statistical modeling and programming to generate business value from organizational data. The solutions you develop will inform real, high-impact business decisions - driving top-line growth, optimizing 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 modeling. 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, analyzing, and visualizing 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 and work with a broad Data Science community.

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