Senior Data Scientist

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.