Data Lead - AI and Automation Information Technology - Smiths Group - Birmingham

reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration. Proficient at digesting and analysing large amounts of data. Excellent understanding of data administration and management functions (collection, analysis, distribution, etc.). Experience in working with offshore and onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView, etc.). Good knowledge of SQL language and simple analysis techniques to profile data. Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on database architecture, ETL, data mining, business intelligence, big data, data governance, data quality, and data cleansing. Experience with Microsoft Azure (a plus): Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory. Understanding of big data technologies (Hadoop, Spark). Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the enterprise and conceptual data models. Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have). Excellent organisational and project management skills. Passionate and curious about new technology and the tech industry. Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group. General understanding of PaaS concepts - ideally in MS-Azure. Cloud BI experience could be an asset. Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. #J-18808-Ljbffr