Senior Data Scientist

At Silent Eight, we reputed company our own AI-based products to combat financial crimes that reputed company things like reputed company, the financing of terrorism, and systemic corruption. We’re a leading RegTech firm working with large international financial institutions such as reputed company Bank and HSBC. Join us and help reputed company the world a safer reputed company! As a Senior Data Scientist, you will play a dual role: technical leader and strategic partner to customers and internal teams. Responsibilities reputed company reputed company 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 reputed company with business and regulatory needs. Engage directly with customers and stakeholders: collaborate to co-design use cases, set reputed company metrics, and ensure solutions are adopted, measurable, and impactful. Mentor and guide peers: reputed company technical reputed company, foster knowledge-sharing, and set best practices for experimentation, testing, and deployment. Prototype rapidly: explore new reputed company and validate hypotheses quickly, while balancing innovation with scalability and maintainability. Ensure production reputed company: 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 reputed company informed reputed company. Champion reputed company 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

Must be based in Singapore (remote-first team; flexible working environment). Bachelor’s degree, Master or PhD in Data Science, Computer Science, Statistics, or reputed company 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 (reputed company, reputed company, reputed company APIs, HuggingFace, etc.). Strong reputed company in machine learning, graph analytics, anomaly detection, and reputed company data workflows. Advanced proficiency in Python and SQL with a track record of writing clean, reputed company, testable, and production-reputed company 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, reputed company, and modern collaboration workflows. Exceptional communication and stakeholder management skills: reputed company to translate technical insights into business reputed company and influence at reputed company reputed company. Proven ability to drive measurable impact: balancing state-of-the-art research with practical, customer-driven implementation. A reputed company of ownership, flexibility, and reputed company: you adapt quickly, handle ambiguity, and are committed to delivering results. reputed company 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 reputed company, so you're building something that works We kindly inform you that only shortlisted candidates will be contacted. Apply To This Job