Who we are:

Financeit is a point-of-sale financing provider serving some of the largest home improvement and retail organizations in Canada. Our platform helps businesses close more sales by offering customers affordable monthly payment options for their next big home improvement, vehicle or retail purchase.

We are small enough that you can make an impact within the company and large enough to make an impact in the market. Financeit is a company where collaboration, inclusivity, fairness, and respect aren’t just ideas that get talked about, but are part of who we are. If such a workplace intrigues you, we hope you’ll join us.

About the role:

We are seeking a highly skilled and passionate Senior DevOps Engineer, AI infrastructure to join our team! You will play a key role in designing, developing, and implementing cutting-edge Generative AI (GenAI) solutions, including exploring and applying advanced concepts like Agentic AI, within our financial operations. 

This role offers a challenging opportunity to contribute to impactful projects, leveraging deep technical expertise in GenAI, LLMs, RAG pipelines, vector databases, chatbot development, and related technologies. You will collaborate with engineers and stakeholders and drive innovation by applying AI and automation to solve complex financial problems.

What you'll be doing:

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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.

We are looking for a dynamic and experienced NLP/NLU Data Scientist to join our innovative team. In this role, you’ll be at the forefront of enhancing our AI-driven platforms by analyzing customer interactions and providing actionable insights that directly impact product improvement. As a key member of our team, you’ll work closely with bot developers, product managers, and other stakeholders to improve the Natural Language Understanding (NLU) of our chatbots and voice bots. Your insights will guide the development of new product features, while also helping us identify customer pain points to enhance the overall customer experience. This is an exciting opportunity to leverage your expertise in data science, NLP technologies, and Generative AI to make a tangible impact on the evolution of our AI platforms.

Key Responsibilities

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees 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.

We are looking for a dynamic and experienced NLP/NLU Data Scientist to join our innovative team. In this role, you’ll be at the forefront of enhancing our AI-driven platforms by analyzing customer interactions and providing actionable insights that directly impact product improvement. As a key member of our team, you’ll work closely with bot developers, product managers, and other stakeholders to improve the Natural Language Understanding (NLU) of our chatbots and voice bots. Your insights will guide the development of new product features, while also helping us identify customer pain points to enhance the overall customer experience. This is an exciting opportunity to leverage your expertise in data science, NLP technologies, and Generative AI to make a tangible impact on the evolution of our AI platforms.

Key Responsibilities