Description:
DigiFloat is seeking a skilled Generative AI Data Scientist to design, develop, and deploy AI models that analyze complex banking and financial datasets. The ideal candidate will work on risk assessment, fraud detection, customer service, and personalized marketing by leveraging AI-driven insights.
Key Responsibilities:
- Design and develop generative AI models to analyze financial datasets and generate insights.
- Collaborate with cross-functional teams to identify AI use cases in banking and financial services.
- Conduct data preprocessing, feature engineering, and model evaluation to optimize AI solutions.
- Utilize advanced statistical techniques and machine learning frameworks to improve model performance.
- Communicate findings through data visualizations and presentations for non-technical stakeholders.
- Stay updated on industry trends, emerging technologies, and best practices in AI and data science.
- Contribute to the development of AI-driven tools and platforms for operational efficiency and customer satisfaction.
Qualifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 3 to 5 years of experience in data science, focusing on generative AI applications within banking or financial services.
- Proficiency in Python or R and experience with machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Strong understanding of data manipulation, SQL, and big data technologies.
- Experience in deploying machine learning models in production environments.
- Excellent problem-solving and analytical skills in fast-paced, collaborative settings.
- Strong communication skills for presenting AI-driven insights to non-technical audiences.
Preferred Qualifications:
- Familiarity with banking regulations and compliance standards related to AI applications.
- Experience with cloud platforms (AWS, Azure, GCP) for AI deployment.
- Knowledge of data governance and ethical AI considerations.