Data Scientist

The Data Scientist role involves consulting with Business, Risk, and Tech Stakeholders to research, build, and implement scalable AI systems. You'll design and develop machine learning (ML) and deep learning systems, develop processes for LLMs on unstructured data, and optimize learning processes. Responsibilities include developing ML algorithms, handling multi-layered data sets, and turning unstructured data into useful information. You’ll provide specialized consulting and support, exercise judgment to solve problems, and handle non-routine situations independently.

What You’ll Do:

• Design and develop ML and deep learning systems.
• Develop processes to use LLMs effectively on unstructured data.
• Run ML tests and experiments; train and retrain systems to optimize results.
• Solve complex problems with multi-layered data sets and optimize ML libraries.
• Develop ML apps, implement algorithms, and build tools to apply ML frameworks.
• Turn unstructured data into useful information, including auto-tagging and speech-to-text conversions.
• Develop ML algorithms to analyze large volumes of historical data for predictions.
• Run tests, perform statistical analysis, and interpret results.
• Provide specialized consulting, analytical, and technical support for the commercial bank.

Qualifications:

• Consultative approach in engaging internal partners.
• Strong creative reasoning and computational thinking skills.
• Clear verbal & written communication skills.
• Extensive collaboration & team skills.
• Experience in business transformation through modeling.
• Strong analytical and problem-solving skills.
• Experience with developing and scaling ML and Deep Learning models.
• Knowledge of various ML algorithms and LLMs.
• 6+ years of relevant experience and a post-secondary degree in a related field.