Advanced proficiency in sql and relational databases
Strong programming experience in python
Hands-on machine learning model building and deployment
The Data Analytics Lead / Data Scientist is a strategic professional who contributes to directional strategy and provides advice related to technology or operations impacting the business
Job Summary
The Data Analytics Lead / Data Scientist is a strategic professional who contributes to directional strategy and provides advice related to technology or operations impacting the business.
The role involves leading complex data analysis and AI/ML initiatives, developing predictive models, and operationalizing machine learning models through production deployment and monitoring.
The position requires managing multiple priorities in a fast-paced, highly regulated environment while ensuring compliance with laws, policies, and ethical standards.
Matching Summary
The Data Analytics Lead / Data Scientist is a strategic professional who contributes to directional strategy and provides advice related to technology or operations impacting the business.
Skills & Requirements
Must-have
Advanced proficiency in SQL and relational databases
Strong programming experience in Python
Hands-on machine learning model building and deployment
Experience with ML libraries like scikit-learn and TensorFlow
Knowledge of statistical modeling and feature engineering
Experience with BI tools such as Tableau or Power BI
Familiarity with MLOps practices
Nice-to-have
Experience with PySpark
Experience working with large-scale enterprise datasets
Strong problem-solving and analytical thinking skills
Proven ability to communicate AI/ML insights to non-technical audiences
Mentoring junior analysts and data scientists
Experience in banking or financial services
Collaboration with Data Engineering teams
Key Requirements
10-15 years of relevant experience in Data Analytics or Data Science
Bachelor’s degree or equivalent experience, Master’s preferred
Experience with supervised and unsupervised machine learning models
Strong knowledge of model validation techniques
Experience with data warehousing, ETL, and big data ecosystems
Experience in banking or financial services preferred