Data Scientist

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July 19

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Silent Eight

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Artificial Intelligence • Compliance • Fintech

Silent Eight is a company specializing in artificial intelligence solutions designed to combat financial crime. Their flagship platform, Iris 6, uses advanced AI techniques to identify and manage anti-money laundering (AML) risks with speed and precision. With significant investments in research and development, Silent Eight processes billions of transactions annually, providing solutions such as automated alert adjudication, name screening, transaction screening, and continuous monitoring to detect and prevent illicit activities like money laundering and terrorist financing. Their mission is to eliminate the profits from financial crime through the fusion of human expertise and AI technology, aiming to reduce the staggering $2 trillion laundered globally each year.

51 - 200 employees

🤖 Artificial Intelligence

📋 Compliance

💳 Fintech

📋 Description

• At Silent Eight, we develop our own AI-based products to combat financial crimes • As a Data Scientist, you will own the end-to-end development of data solutions • You’ll work closely with customers and internal teams to build impactful, scalable solutions using machine learning, NLP, and other advanced techniques • Lead the data science lifecycle, from discovery and exploration to delivery and customer hand-off • Translate ambiguous business problems into clear problem statements and deliver working, production-ready solutions • Partner with customers and internal stakeholders to co-design use cases, define success criteria, and ensure models are adopted and successful in production • Build quick, iterative prototypes to test ideas, and work cross-functionally to deploy validated solutions into production environments • Own and improve pipelines for data integration, validation, and monitoring, ensuring long-term stability and performance • Analyze large-scale structured and unstructured datasets to extract insights and power model development • Apply machine learning, NLP, graph analytics, and other advanced techniques to solve challenging problems such as semantic search, or anomaly detection • Create and maintain internal data science tooling to streamline experimentation, testing, and delivery • Support internal teams and customers with issue resolution, ensuring data science solutions continue to deliver value post-deployment • Follow and advocate for best practices in MLOps, DataOps, and clean code to ensure reproducibility, maintainability, and scalability

🎯 Requirements

• Based in India (remote-first team; 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 • Deep proficiency in Python: you 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 • Demonstrated ability to apply software engineering best practices (e.g., modular design, clean code, unit testing, CI/CD) in data science and machine learning projects, ensuring production-readiness and maintainability • Ability to drive end-to-end initiatives, from exploration to delivery, where solutions must be state-of-the-art, business-aligned, and regulatory-compliant • Comfortable working in Linux environments and using collaborative tools (e.g., Git, Docker) • Strong communication skills—translate technical complexity into actionable business narratives, driving clarity, alignment, and decision-making across all levels of the organization • Mindset of ownership: you’re excited to see projects through, from first prototype to deployed, customer-facing solution

🏖️ Benefits

• Full time employment contract with our PEO partner (InsourceIndia) • Employee benefits: comprehensive health insurance, paid time-off, eligibility for Prudential Fund participation • Work-life balance: flexible working hours, remote work forever • Career growth: Promotion and great development opportunities within the organization