Senior Data Scientist, Large Language Models

Key Skills

Aartificial intelligence, Analytical and Problem solving, ChatGPT, Data science techniques, Git, Large Language Models - LLMs, Machine learning techniques, Natural Language Processing (NLP), Python Programming, Reinforcement Learning

Job Description

About the team

The Data Products Team, within Data Science & Engineering (DSE), is a dynamic group of Data Scientists working to build and productionalize machine learning models. We identify opportunities where the insertion of ML models could serve as high points of leverage for the company or our clients. We have several ML models that we’ve put into production and are successfully providing predictions - critical to the business - including projects that leverage LLMs. The data products team leverages ourin-house ML platform, built using a wide array of open-source tools to enable fast experimentation and shipping with confidence. 

About the role

As a Data Scientist on the Data Products Team, you will be at the forefront of using large language models to re-shape how we approach and execute on our ambitions across product, customer experience and internal operations. There are several projects already in progress with a healthy roadmap, which will add a lot of value when executed. In addition, there are several parts of the business where green field opportunities exist to make a large impact leveraging LLMs. Your role is integral in our ability to realize the potential of LLMs within Wealthsimple and our broader mission of making financial services simple, transparent, and accessible to all Canadians.

In this role, you will have the opportunity to:

• Utilize large language models (LLMs) to transform various aspects of our business, including our product offering, customer service, and internal operations, making a tangible impact on our company and our customers.
• Take end-to-end ownership of the model building lifecycle, from the initial idea to production deployment, ensuring that our solutions are not only innovative but also reliable and sustainable.
• Continuously learn and stay updated with the latest trends in data science and fintech, especially in the world of LLMs, prompt engineering, and productionalization of models. 
• Collaborate with domain experts and cross-functional teams to understand intricate problems specific to our industry, and identify opportunities where machine learning can drive significant innovation and efficiency.
• Leverage our state-of-the-art ML platform to monitor model performance post-production, with built-in triggers to identify model drift and opportunities for re-training, ensuring our solutions remain effective and relevant.
• Apply software engineering best practices, such as version control and continuous integration, to the code base; ensure that our models are not only effective but also well-tested, documented, and maintained.
• Embrace simplicity and effectiveness in your approach to challenges, adhering to the principle of Occam's razor to find the most straightforward solutions to complex problems.
• Teach and learn from your teammates. We believe in the power of collective knowledge and the importance of fostering a culture of continuous learning and mutual success

Skills we are looking for:

• Proven experience as a data scientist or machine learning engineer, with a focus on Natural Language Processing (NLP), Reinforcement Learning (RL), or Large Language Models (LLMs).
• Proficiency in Python, with a strong familiarity with key data science & machine learning libraries and tools.
• Demonstrated experience in productionalizing ML models, with a track record of owning the full lifecycle of ML model development, from ideation to deployment and maintenance.
• Understanding of large language models such as GPT-4, GPT4ALL, Bloomchat, and others, with a deep understanding of their potential applications and limitations.
• Familiarity with key LLM concepts such as fine-tuning models, and libraries such as Langchain and Kor.
• Solid knowledge of data engineering and preprocessing, including handling large datasets, ensuring data quality, and managing data pipelines.
• Comfortable with software engineering best practices, including version control and using Git for collaborative development.
• Strong problem-solving skills, with the ability to think critically and creatively to find effective solutions to complex challenges.
• Excellent communication skills, with the ability to convey complex ideas in a simple, clear, and engaging manner for a variety of audiences.
• Outstanding interpersonal skills, demonstrated through the ability to thrive in highly collaborative settings and contribute positively to team-oriented environments.
• Familiarity with AI ethics and responsible AI practices, with a commitment to ensuring that our solutions are not only effective but also ethical and fair.

Don't worry if you're not an expert in LLMs yet - very few are! At Wealthsimple, we believe that a strong interest and a willingness to learn can go a long way. So, if you're ready to take on this challenge and make a real difference, we'd love to hear from you.

We’re a remote-first team and output is more important than face time, so where you choose to work is up to you — as long as you have internet access, you can work from anywhere in Canada. Be a part of our Canadian success story and help shape the financial future of millions.