Job Requirements

• Bachelor’s degree in mathematics, computer science, or a similar discipline, with strong expertise in statistical modeling, probability, and hypothesis testing;
•  More than 5 years of experience in a data science role within a commercial environment, with a strong preference for experience in finance or banking;
•  Hands-on experience in designing, developing, and deploying ML models in production, including feature engineering, hyperparameter tuning, and model evaluation;
•  Advanced experience in Python programming language (for ML/AI) and SQL (data processing);
•  Experience with visualization tools (Power BI, Plotly, GGplot etc);
•  Deep understanding of the big data ecosystem and distributed computing;
•  End to end experience in building solutions in Databricks or other distributed computing platform;
•  Practical experience with ML frameworks (Pandas, PySpark, TensorFlow, Keras, scikit-learn);
•  Ability to optimize and fine-tune ML models for performance and accuracy;
•  Experience in deploying and monitoring ML models in production environments using ML/Ops and CI/CD best practices;
•  Strong ability to translate business challenges into data science solutions and communicate insights to technical and non-technical audiences;
•  Design, develop, and implement generative AI models is a plus.