Senior Data Scientist

Senior Data Scientist

RDC.AI is a cloud native AI Decisioning company and the Data Science function is key to our organizational success. As we look to expand in North America, we are looking for a Senior Data Scientist to join our North America team. A Sr Data Scientist will work closely with our customers on developing AI/ML based solutions to solve complex credit-based decisions in the Business and Commercial lending space. Key responsibilities will include:

• Design, present & document AI-based initiatives to our clients, typically banking and risk executives.
• Develop use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs.
• Assist in developing data processing solutions and machine learning models to address the business objectives of our clients using RDC.AI platform.
• Assist in developing AI/ML based solutions to be deployed on the RDC.AI platform for clients across use cases in Business and Commercial lending within North America
• Help mentor and train junior data scientists on RDC.AI methodologies, AI/ML best practices and credit risk modelling methodologies in the Business and Commercial lending space.

Essential-Experience/Skills

• Bachelor's degree in in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
• 5+ years of data science experience, ideally in credit risk or financial services.
• Experience developing and managing quantitative credit risk models including credit decisioning models.
• Programming experience in Python for 3+ years.
• Programming in SQL for 1+ years.
• Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking.
• Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.)
• Experience presenting to technical, and non-technical stakeholders, including senior leadership.
• Excellent communication and client engagement skills.
• Ability to travel within North America (estimated 25% travel).

Desired-Experience/Skills

• Advanced degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree.
• Experience with commercial and/or business lending.
• Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data.
• Understanding the decision-making process behind the lending process.
• Experience in credit risk analysis, strategy design, and monitoring.
• Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.)