**Introduction** At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk. **Your role and responsibilities** * Develop a PoC - scope of the PoC is loading news data from the client's central data lake, and leverage an LLM to analyze + summarize these news * Once business value was successfully evaluated, the PoC should be evaluated further into an MVP, which would include building a pipeline which would automatically load the data on a daily basis to provide up to date analysis + summary of the news articles * Results should be stored into a database and visualized in a Streamlit frontend / app **Required technical and professional expertise** * Proven work experience as a Data Scientist or Data Engineer, with a particular emphasis on Machine Learning. * Comprehensive understanding of time series data and structured data. * Strong software development skills: * Proficiency in relevant programming languages including Python, R, and/or Matlab. * Experience working in cloud-based platforms, preferably Amazon Web Services (AWS). * Familiarity with code versioning tools like GitLab. * History of working with Infrastructure as a Code technologies, such as Terraform. **Preferred technical and professional experience** * Knowledge of SQL is advantageous but not mandatory. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.