PERMANENT

We are looking for a dynamic and results-driven Technical Business Analyst with a strong background in data science and a growing expertise in Generative AI (GenAI) technologies. This role will be key in bridging business needs with advanced data science and AI capabilities, helping to define use cases, translate requirements, and drive measurable outcomes for GenAI and data initiatives.

NICE TO HAVE SKILLS:

• Exposure to GenAI platforms (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.).
• Knowledge of ethical AI principles, model evaluation methods, and data governance frameworks.
• Previous experience within consulting, product management, or innovation-focused teams.

SKILLS

Business Analysis,GenAI solutions,Azure,Data Governance

ABOUT UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process

THE ROLE:

• Work closely with stakeholders to identify and prioritise business opportunities that can be addressed through data science and GenAI solutions.
• Gather, document, and translate business requirements into clear, actionable specifications for data scientists, ML engineers, and GenAI developers.
• Perform exploratory analysis, data profiling, and feasibility assessments for potential projects.
• Shape and evaluate GenAI use cases such as copilots, summarisation tools, and personalisation engines.
• Collaborate across IT, Product, and Data Engineering teams to ensure seamless integration of GenAI and data-driven products into business workflows.
• Monitor and report on project performance, KPIs, and ROI for AI and machine learning deployments.
• Stay updated on emerging GenAI technologies and contribute to evaluating new tools and vendors.
• Support the development of user training, documentation, and internal knowledge bases for AI and data solutions.