At Silent Eight, we develop our own AI-based products to combat financial crimes that enable things like money laundering, the financing of terrorism, and systemic corruption. We're a leading RegTech firm working with large international financial institutions such as Standard Chartered Bank and HSBC. Join us and help make the world a safer place!
As a Senior Data Scientist, you will play a dual role: technical leader and strategic partner to customers and internal teams.
Responsibilities
- Lead complex R&D initiatives: drive research and innovation in LLMs, NLP, machine learning, and graph analytics, turning advanced techniques into production-grade solutions.
- Own the full data science lifecycle: from discovery, framing, and exploration to deployment, customer delivery, and long-term monitoring.
- Shape ambiguous challenges into well-defined problem statements and design practical, state-of-the-art solutions aligned with business and regulatory needs.
- Engage directly with customers and stakeholders: collaborate to co-design use cases, set success metrics, and ensure solutions are adopted, measurable, and impactful.
- Mentor and guide peers: elevate technical excellence, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment.
- Prototype rapidly: explore new ideas and validate hypotheses quickly, while balancing innovation with scalability and maintainability.
- Ensure production success: design, implement, and optimize pipelines for data integration, validation, monitoring, and retraining to sustain long-term model performance.
- Communicate effectively: distill technical complexity into compelling business insights, helping stakeholders make informed decisions.
- Champion excellence in execution: enforce best practices in MLOps, DataOps, and software engineering to deliver reproducible, maintainable, and scalable solutions.
- Continuously improve tooling and processes that accelerate delivery, experimentation, and collaboration across the data science function.
Requirements
- Based in Singapore (remote-first team; flexible working environment).
- Bachelor's degree, Master or PhD in Data Science, Computer Science, Statistics, or related field.
- 6+ years of hands-on experience delivering data science projects from research to production, ideally in mission-critical domains.
- Proven expertise with LLMs and modern NLP frameworks (LangChain, LlamaIndex, OpenAI APIs, HuggingFace, etc.).
- Strong foundation in machine learning, graph analytics, anomaly detection, and unstructured data workflows.
- Advanced proficiency in Python and SQL with a track record of writing clean, modular, testable, and production-ready code.
- Experience with large-scale data platforms (e.g., PySpark, BigQuery) and scalable ML deployments.
- Solid knowledge of MLOps and DataOps, including CI/CD, monitoring, retraining, and reproducibility.
- Comfortable in Linux, Git, Docker, and modern collaboration workflows.
- Exceptional communication and stakeholder management skills: able to translate technical insights into business outcomes and influence at all levels.
- Proven ability to drive measurable impact: balancing state-of-the-art research with practical, customer-driven implementation.
- A mindset of ownership, flexibility, and resilience: you adapt quickly, handle ambiguity, and are committed to delivering results.
What We Offer
- Competitive salary — 150,000 - 170,000 SGD per year
- Equity participation — stock options that grow with us as we scale globally
- Quarterly wellness allowance — spend it your way
- Learning & development budget — training, conferences, and dedicated Development Days with our AI/ML team
- The backing of a proven platform — AI already running in production at HSBC and Standard Chartered, so you're building something that works
We kindly inform you that only shortlisted candidates will be contacted.
