Lead Consultant - Data Science

Company Description Hitachi Solutions Europe is a global Digital, Data, and Technology consultancy, Microsoft Gold partner, and Cloud Services partner, specialising in end-to-end transformation. As a global consultancy working across the private and public sectors, we focus on Dynamics 365 Business Applications, Power Platform, Azure, Application Modernisation, and Data & Analytics. We are committed to Microsoft technologies, aiming to revolutionise modern businesses. We employ dedicated talent to deliver outstanding technology solutions to our clients worldwide. Join our Hitachi family We value collaboration, open communication, and transparency. Hitachi Solutions: Recruiting the best talent and offering outstanding career opportunities. We provide competitive compensation (including bonuses), pension, and benefits. Work/life balance is vital; all employees are home-based but will visit our or clients' offices regularly. Our career development includes mentoring and training to support your growth. We are expanding our consulting team and seeking a Lead AI (Artificial Intelligence) Consultant to join us and be part of the Hitachi Solutions family. Provide hands-on technical expertise and manage client relationships within projects. Analyze customer needs, identify business problems, and develop high-quality technology solutions. Advise clients on AI best practices, ensuring scalable and efficient solutions. Lead teams and projects from requirements to implementation. Identify high-value AI scenarios (Machine Learning and Gen AI). Analyze data using tools like Microsoft Fabric, Azure Databricks, Azure Synapse, and Azure Machine Learning. Implement data pipelines and workflows with Azure ML Pipelines and Azure DevOps. Monitor ML solutions using Azure ML and Application Insights. Deploy AI solutions following coding, security, and CI/CD best practices. Present findings and recommendations using Power BI, Azure Data Explorer, and Azure AI Services. Experience in data science, machine learning, or related fields. Proficiency in Python, SQL, or similar languages. Experience with Azure or similar cloud platforms for data science and ML. Knowledge of generative AI and LLM frameworks. Understanding of AI ethics, data privacy, and responsible AI practices. Ability to integrate and deploy AI solutions at scale using Azure. Experience with data integration tools like Azure Data Factory and Microsoft Fabric or Databricks. Excellent communication and stakeholder management skills. Familiarity with Microsoft Copilot. Azure Data Scientist Associate or AI Engineer certification is a plus. Consulting experience or relevant skills are advantageous. #