SavvyMoney is looking to solve business and technical problems related to predictive modeling, personalization, and AI-driven financial recommendations by building models that power personalized marketing, loan offers, credit improvement strategies, and next-best-action recommendations.
Requirements
- Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.)
- Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks
- Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and PyTorch for model development
- Familiarity with LLMs and generative AI frameworks (HuggingFace, LangChain, OpenAI APIs, etc.)
- Experience deploying machine learning models into production environments with considerations for scalability and latency
- Experience with cloud-based platforms (AWS, GCP, or Azure) for model training and deployment
- Knowledge of MLOps tools and practices (MLflow, Airflow, Kubeflow, Docker, etc.)
Responsibilities
- Perform exploratory and statistical data analysis to identify opportunities for model development and business optimization
- Design, build, and optimize machine learning models for:Marketing propensity modeling
- Personalized loan offers and recommendations
- Next-best-action predictions for improving credit scores
- Prototype solutions using advanced AI techniques to accelerate experimentation
- Partner with engineering teams to productionize models in a scalable and latency-conscious environment
- Query and analyze large datasets to uncover business insights and support decision-making
Other
- 6+ years of professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment
- Strong business acumen with the ability to translate complex analytical outputs into actionable recommendations
- Excellent communication skills to collaborate with both technical and non-technical stakeholders
- Understanding of credit risk modeling, financial products, or consumer lending.
- Experience working with APIs, real-time scoring, and event-driven architectures.
