Lead Data Scientist

Requirements:
10-14 years of experience in data science, machine learning, advanced analytics, or related fields.
Strong experience within banking, financial services, insurance, FinTech, InsurTech, or related domains.
Proven experience building and deploying machine learning models in production environments.
Demonstrated experience in fraud analytics, fraud detection, risk modelling, underwriting analytics, claims analytics, or related domains.
Strong understanding of supervised and unsupervised learning techniques.
Hands-on expertise in Python and common data science libraries (Pandas, Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, etc. ).
Experience working with SQL and large-scale data platforms.
Familiarity with cloud environments and modern MLOps practices.
Strong communication, customer-facing, and stakeholder management skills.

Experience
10-14 yrs