Lead Data and AI Scientist

Role Overview: You will lead the designing and implementation of solutions leveraging AI and machine learning techniques to solve complex business problems. Acting as a point of technical expertise and thought leadership, you will also provide line management and/or coaching to grow team capability. As an effective communicator, you will collaborate with colleagues and customers at all levels to translate their needs and problem statements into automated, technology-driven solutions. You should be comfortable engaging with both technical and non-technical audiences. Additionally, you must be self-motivated, able to deliver engineering solutions independently, demonstrating strong time management and the ability to produce results under pressure. Key Responsibilities: - Engineer and deliver advanced automation and data solutions, utilizing analytics and visualization tools to support decision-making. - Find opportunities and develop solutions addressing requirements and challenges. - Develop and implement automated workflows, processes, and reporting solutions that integrate data from key platforms. - Collaborate effectively across various teams to ensure the delivery of engineering solutions and tangible benefits. - Maintain data integrity and accuracy in all automated systems, upholding high standards of quality and compliance. - Prepare and engineer data for AI agents, advanced analytics, and Generative BI, committing to operating within the Group's Data governance framework and operating model as both a consumer and producer of data. - Foster a culture of continuous improvement and innovation through engineering and automation. Qualification Required: - Ability to interpret business needs and gaps and provide engineered technical solutions that automate and evolve processes. - Experience with data analytics tools (e.g., Power BI, Tableau), low-code/no-code platforms (e.g., PowerApps, Power Automate, CoPilot Studio). - Demonstrable experience in sourcing and integrating data from enterprise systems, such as Oracle and ServiceNow, into automated solutions. - Experience in engineering modeling techniques and automation solutions. - Proven track record in delivering complex analytics and process automation. - Growing understanding of future AI tooling such as Agentic AI and Generative BI, with a focus on automation. - Ability to work under pressure and meet tight deadlines without compromising quality. Role Overview: You will lead the designing and implementation of solutions leveraging AI and machine learning techniques to solve complex business problems. Acting as a point of technical expertise and thought leadership, you will also provide line management and/or coaching to grow team capability. As an effective communicator, you will collaborate with colleagues and customers at all levels to translate their needs and problem statements into automated, technology-driven solutions. You should be comfortable engaging with both technical and non-technical audiences. Additionally, you must be self-motivated, able to deliver engineering solutions independently, demonstrating strong time management and the ability to produce results under pressure. Key Responsibilities: - Engineer and deliver advanced automation and data solutions, utilizing analytics and visualization tools to support decision-making. - Find opportunities and develop solutions addressing requirements and challenges. - Develop and implement automated workflows, processes, and reporting solutions that integrate data from key platforms. - Collaborate effectively across various teams to ensure the delivery of engineering solutions and tangible benefits. - Maintain data integrity and accuracy in all automated systems, upholding high standards of quality and compliance. - Prepare and engineer data for AI agents, advanced analytics, and Generative BI, committing to operating within the Group's Data governance framework and operating model as both a consumer and producer of data. - Foster a culture of continuous improvement and innovation through engineering and automation. Qualification Required: - Ability to interpret business needs and gaps and provide engineered technical solutions that automate and evolve processes. - Experience with data analytics tools (e.g., Power BI, Tableau), low-code/no-code platforms (e.g., PowerApps, Power Automate, CoPilot Studio). - Demonstrable experience in sourcing and integrating data from enterprise systems, such as Oracle and ServiceNow, into automated solutions. - Experience in engineering modeling techniques and automation solutions. - Proven track record in delivering complex analytics and process automation. - Growing understanding of future AI tooling such as Agentic AI and Generative BI, with a focus on automation. - Ability to work under pressure and meet tight deadlines without compromising quality.