Data Scientist

About the role

Supported by clear purpose, a strong platform and teams who care about what they’re building, you’ll have the opportunity to shape the future of an industry that never stands still.

What you'll do

• Design and develop end-to-end ML solutions — from data exploration and feature engineering to model training, validation, and deployment
• Collaborate cross-functionally with engineers, analysts, and product teams to integrate predictive and recommendation models into customer-facing and internal…
• Implement scalable ML pipelines using Databricks, PySpark, and Delta Lake, ensuring reproducibility, performance, and maintainability
• Run controlled experiments (A/B tests, uplift modelling, causal inference) to measure model performance and quantify business impact
• Operationalise models through CI/CD and MLOps best practices, including model versioning, monitoring, retraining strategies, and governance

What you need

• 1–3 years in data science & ai
• Machine learning
• SQL
• MLOps
• AWS
• Databricks
• Spark
• B.Tech or B.E.

Good to have

• Python
• Scikit-learn
• LLMs
• PyTorch
• TensorFlow
• Deep learning