Data Scientist (Commercial/Process Automation/GenAI) in Bucuresti

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 growthClient DetailsGlobal Engineering CompanyDescriptionGlobal 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 ResponsibilitiesConduct 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 ScienceComfort 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 PythonHighly proficient in SQL and the use of relational databasesAdvanced user of Microsoft ExcelExisting knowledge/skills in the following are not essential, but would be highly advantageous:Generative AI solutionsMicrosoft Power BIMicrosoft Azure cloud services (including Azure Synapse Analytics)Other programming languages (eg R, Java, C++)ProfileGraduate 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 ScienceComfort 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 PythonHighly proficient in SQL and the use of relational databasesAdvanced user of Microsoft ExcelExisting knowledge/skills in the following are not essential, but would be highly advantageous:Generative AI solutionsMicrosoft Power BIMicrosoft Azure cloud services (including Azure Synapse Analytics)Other programming languages (eg R, Java, C++)Job OfferOpportunity to deliver enhanced analytics services in a global PlcOpportunity to work with a broad Data Science community