Role Description
Who we are:
At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at UST.com.
Summary
Data Scientist – GenAI & AI Engineering The Generative AI Centre of Expertise (GenAI CoE). It improves products using Generative AI, machine learning, and automation. The centre has a focus on responsible, measurable impact. Who is a GenAI CoE Data Scientist? This is a mid-level, hybrid role for a data scientist who enjoys hands-on work and wants to grow into AI engineering. You'll report into the Head of Machine Learning and work across two connected areas: Experimentation and evaluation (data science): framing problems, designing experiments, defining success metrics, analysing results, and understanding model/system behaviour in product contexts AI engineering:
build GenAI systems (prototypes through to production-ready components), supported by experienced colleagues A big part of the job is choosing the right approach — when GenAI is valuable, and when simpler analytics or ML is the better answer.
What You'll Do
You will work with product, engineering, and business teams to turn fuzzy ideas into transparent problem statements, assumptions, and success metrics You will design and run experiments to evaluate GenAI systems, including baseline comparisons, error analysis, and understanding failure modes Help refine GenAI solutions, using modern development practices and AI-assisted coding tools to iterate quickly Communicate results, including trade-offs, limitations, and recommendations for what to do next Share insights with the team and spend ~10% of your time on learning and knowledge sharing
Qualifications
You have experience working as a data scientist (or in a similar role), applied
📌 ML Engineer I (Kochi)
🏢 UST
📍 Kochi