Data Scientist

You'll take genuine end-to-end ownership of how Transak detects and prevents fraud, as part of a small, senior team. Your mandate is to stop fraud while approving as many legitimate transactions as possible — whether through deterministic heuristics, machine learning, AI agents, or whatever the problem demands. You'll work with tens of millions of transactions, ~1,000 live risk signals across 13 providers, and ~10,000 orders per hour at peak, against adversaries who adapt the moment you respond. Beyond fraud, you'll act as a data scientist for the wider business, making data accessible through the Snowflake warehouse, self-serve tooling, dashboards and internal data assistants. You'll also take on high-leverage product, growth and experimentation problems, and help advance how the company applies AI internally, from agentic coding assistants to internal copilots and novel uses of large language models. You'll have autonomy to try new models, tools and approaches, and you'll be judged on outcomes, not process or hours.