Data Scientist with Generative AI

Role Overview Work with big data platforms and tools to build event-driven processing and scalable ETL pipelines. Apply data governance, quality checks, and performance monitoring while supporting analytics and data science initiatives, including NLP and large language models. Key Responsibilities • Design, implement, and maintain ETL pipelines and event-based processing using AWS (SNS, SQS, Lambda), Hive, Cloudera, and Dataiku. • Manage and optimise large datasets; enforce data governance, quality checks, and monitoring. • Deliver descriptive analysis, KPI development, and exception reporting to drive business insights. • Develop and productionise machine learning solutions, including unsupervised learning, predictive analytics, NLP, and LLM applications. • Create dashboards and visualisations (Spotfire) to communicate findings to stakeholders. • Collaborate with cross-functional teams and communicate technical results clearly to non-technical stakeholders. Technical Skills • Strong programming skills in Python and SQL for data manipulation and analysis. • Experience working with both structured and unstructured data. • Familiarity with machine learning frameworks, deep learning, NLP, and large language models. • Hands-on experience with AWS services (SNS, SQS, Lambda), Hive, Cloudera, and Dataiku. • Experience creating dashboards and visualisations, preferably using Spotfire. Qualifications & Experience • Technical degree in Computer Science, Data Analytics, Engineering, Mathematics, or a related field. • At least 5 years of practical experience in data science or analytics roles. • Self-starter who is intellectually curious and able to work independently without micromanagement. • Strong stakeholder management and communication skills. Skills: data,spotfire,nlp,dataiku,data science,analytics,aws