Senior Data Scientist - GenAI (Banking / AML)

Tiger Analytics; Canada; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading analytics consulting firm in Canada seeks a Senior Data Scientist with expertise in LLM model development, particularly for AML/Risk use cases. The ideal candidate will lead initiatives to translate business requirements into scalable GenAI solutions. Responsibilities include developing prompting strategies and driving solution delivery in a regulated banking environment. This position supports significant career development within a dynamic team committed to delivering business value from data.

Qualifications

• 5+ years of experience in Data Science and Machine Learning.
• Proven experience in AML and/or Risk.

Responsibilities

• Lead LLM model development for AML and Risk applications.
• Design and implement prompting strategies and GenAI workflows.
• Partner with stakeholders to gather requirements and convert them into production-ready code.
• Drive end-to-end GenAI solution delivery in banking.
• Provide technical leadership within the team.

Skills

Strong understanding of LLMs, GenAI, and prompt engineering

Translating business requirements into LLM-driven solutions

Ability to work independently in a fast-paced environment

Job description

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. We are seeking a Senior Data Scientist (GenAI) to lead LLM model development for AML/Risk use cases. This role will work closely with business stakeholders to translate AML and risk requirements into scalable GenAI/LLM-based solutions. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Key Responsibilities

• Lead LLM model development for AML and Risk applications
• Design and implement prompting strategies and GenAI workflows for business use cases
• Partner with business stakeholders to gather requirements and convert them into production-ready code
• Drive end-to-end GenAI solution delivery in a regulated banking environment
• Provide technical leadership within a newly formed team

Qualifications

• 5+ yrs of Strong understanding of LLMs, GenAI, and prompt engineering
• Proven experience translating business requirements into LLM-driven solutions
• Mandatory domain experience in AML and/or Risk
• Experience in banking or financial services
• Ability to work independently in a fast-paced environment

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Equal Employment Opportunity Statement

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.