Senior Data Scientist
Core
Build predictive models and advanced analytics solutions to optimize customer journeys, enhance decision-making, and drive innovation in wealth management and retail banking products.
Role type
Senior IC data scientist (banking/wealth management)
Builds
Production ML models, predictive analytics solutions, and data pipelines for banking clients
Domain
Financial services (Wealth Management, Retail Banking)
Deliverable
production ML models
Required skills
Supervised/Unsupervised Learning, Classification/Regression, Clustering, Time Series Forecasting, Recommendation Systems, NLP, Generative AI, Python, SQL, PySpark, Scikit-learn, TensorFlow/Keras, PyTorch, XGBoost/LightGBM, Hadoop/Spark, Databricks, Azure/AWS/GCP, Power BI, Tableau
Preferred skills
MLOps, Large Language Models (LLMs), AI copilots, Portfolio Analytics, Client Segmentation, Investment Advisory Analytics, Customer Lifetime Value, Credit Risk Modeling, Fraud Detection, Personalization Models
Technologies
Python, SQL, PySpark, TensorFlow, Keras, PyTorch, XGBoost, LightGBM, Hadoop, Spark, Databricks, Azure, AWS, GCP, Power BI, Tableau
Responsibilities
Develop and deploy machine learning models for customer segmentation, churn prediction, and risk assessment; Analyze large datasets to identify trends and actionable insights; Build and optimize data pipelines and feature engineering frameworks; Collaborate with stakeholders to translate business requirements into scalable solutions; Monitor model performance and ensure continuous improvement through retraining; Communicate findings and recommendations to technical and non-technical stakeholders
Seniority
Senior, hands-on IC