Data Scientist II

About the role

We are looking for an experienced Data Scientist who loves to get their hands dirty. This is a deeply hands-on role; you will build and own AI/ML models and data pipelines, work directly with large and messy real-world datasets, and be the go-to person when something breaks or doesn't make sense.

What you'll do

• Hands-On Modelling & Algorithm Development
• Build, train, evaluate, and improve ML models that power core Skan.ai features including but not limited to task detection, workflow segmentation
• Own the full modelling lifecycle: data exploration, feature engineering, model selection, hyperparameter tuning and validation
• Run disciplined experiments: define clear hypotheses, design evaluation frameworks, and present findings with statistical rigour
• Write clean, well-tested, production-ready Python code that your teammates can maintain and build on

What you need

• 3–7 yrs of experience
• Machine learning
• Data analysis
• Python
• Deep learning
• NLP
• Statistics
• B.Tech or B.E.

Good to have

• LLMs
• RPA
• Spark
• Databricks
• Customer success
• ETL