Published: Sun, 03 Aug 2025 08:51:02 GMT
Data Scientist at Silent Eight – Toronto, Canada
Silent Eight is a leading RegTech firm that specializes in developing AI-based products to combat financial crimes such as money laundering, terrorism financing, and corruption. Our clients include prominent international financial institutions like Standard Chartered Bank and HSBC. Join our team and help us make the world a safer place.
As a Data Scientist, you will be responsible for the end-to-end development of data solutions, from understanding business problems to deploying and maintaining models in production. You will collaborate closely with customers and internal teams to create impactful and scalable solutions using advanced techniques such as machine learning and NLP.
Responsibilities:
– Lead the entire data science process, from discovery and exploration to delivery and customer hand-off.
– Translate complex business problems into clear and concise problem statements and deliver production-ready solutions.
– Collaborate with customers and internal stakeholders to design use cases, define success criteria, and ensure successful adoption of models in production.
– Develop quick and iterative prototypes to test ideas and work cross-functionally to deploy validated solutions in production environments.
– Manage and enhance data integration, validation, and monitoring pipelines to ensure long-term stability and performance.
– Analyze large-scale structured and unstructured datasets to extract insights and support model development.
– Utilize advanced techniques like machine learning, NLP, and graph analytics to solve challenging problems such as semantic search and anomaly detection.
– Create and maintain internal data science tools to streamline experimentation, testing, and delivery.
– Provide support to internal teams and customers to resolve issues and ensure continued value from data science solutions post-deployment.
– Promote best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability.
Requirements:
– Based in Toronto, Canada (remote-first team with a flexible working environment).
– Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
– Demonstrated experience with LLM technologies (LangChain, LlamaIndex, OpenAI APIs, etc.) and building NLP applications.
– Strong proficiency in Python and the ability to write clean, modular, maintainable, and testable code suitable for real-world deployments.
– Solid SQL skills and hands-on experience with large-scale data (e.g., PySpark, BigQuery).
– Skilled in graph analysis, machine learning, and unstructured data workflows.
– Experience applying software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects to ensure production-readiness and maintainability.
– Ability to lead end-to-end initiatives, from exploration to delivery, with a focus on creating state-of-the-art, business-aligned, and regulatory-compliant solutions.
– Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker).
– Strong communication skills and the ability to translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization.
– Ownership mindset and a passion for seeing projects through from the first prototype to a deployed, customer-facing solution.
We Offer:
– Full-time employment contract with our PEO partner, InsourceIndia.
– Employee benefits, including comprehensive health insurance, paid time-off, and eligibility for Prudential Fund participation.
– Work-life balance with flexible working hours and the option to work remotely forever.
– Opportunities for career growth and promotion within the organization. Apply link