Data Scientist - AI, Machine Learning

Daily Responsibilities:

• Analyzing large, complex multi-dimensional datasets in structured and unstructured format.
• Providing support to various partners and stakeholders across Corporate Functions, by leading in the discovery process to identify business requirements and expected outcomes.
• Developing innovative and effective approaches by applying statistical, predictive modeling techniques to solve stakeholders’ business problems.
• Effectively communicating results and methodologies to broad audiences, including senior executives and members of the analytics team, and presenting findings in easy-to-understand terms for non-technical audiences.
• Preparing detailed documentation to outline data sources, models and algorithms used and developed.
• Staying current on trends in Data Science and AI, and translating those trends into actionable strategic and tactical objectives for the Bank.
• Contributing to a culture of innovation inside and outside the Bank, as a visionary capable of inspiring through presentation, demonstration, and leading by example.
• Providing strong leadership, mentoring and managing direct reports (if applicable) to motivate both individual and team performance and fostering a commitment to the Bank’s objectives. Identifying resourcing issues and implementing activities to resolve these issues in a timely manner, to ensure the Bank has the capabilities and skills to secure a competitive advantage in analytics over other Financial Institutions.

Must-Have Skills:

• 5- 8 years of experience and advanced expertise in AI and machine learning, data engineering to develop solutions within the Corporate Functions Analytics team.
• Strong programming skills (Python, Spark, R, SQL), experience with Cloud environments, and visualization tools like Power BI are expected.
• Applicants are required to manage substantial amounts of both structured and unstructured data, utilize machine learning techniques for strategic development, and preferably possess expertise in operations research methodologies for optimizing strategies.
• Strong collaboration skills, the ability to clearly convey technical information as business value, and proficiency in documentation and presenting findings are essential.

Nice-To-Have Skills:

• Spanish proficiency is an asset
• Managing business stakeholder experience is an asset
• Previous banking experience is an asset
  

Soft Skills:

• The Senior Data Scientist is expected to demonstrate robust logical reasoning, intellectual curiosity, adaptability, and effective collaboration skills. The role requires proficiency across mathematics, computer science, business, and customer engagement, with responsibilities supporting innovation and transformation initiatives.

Education:

• A relevant STEM degree is required, along with experience in statistical analysis, machine learning, and predictive modeling (cross-sell, upsell, attrition) (must-have)
• Bachelor's degree in a technical field such as computer science, computer engineering or related field preferred