Gradient Labs
Lead Product Data Scientist
About this role
At Gradient Labs, we're building the AI customer operations platform for financial services. Founded in 2023, we now work with some of the biggest names in banking and fintech. Our platform runs specialist agents, purpose-built for financial services, to eliminate manual work across customer support and back-office operations. Together, they give product and operations teams the visibility and control to trust every outcome. We're a team of builders from companies like Monzo, Wise, Revolut and Google. If you're excited to tackle some of the hardest problems in AI and help shape the future of customer operations, we'd love to hear from you. 🎯 How you’ll make an impact This is a role where you’ll own opportunities and outcomes all the way from conversations with customers to testing hypotheses, running experiments, and proposing and delivering optimisations in our agent. You will:
- Be at the frontline of our product - talk to customers and align directly on what success looks like and how it’s measured. You’ll use raw, real-world data to form clear, actionable insights.
- Directly optimise the performance of our agent, tuning and improving it against those metrics for every customer we onboard.
- Own the optimisation flow end to end - you’ll use data to translate opportunities into tangible improvements in our agent, and close the loop by delivering and demonstrating that value.
- Get obsessive with the data: understand the data at the lowest level, then leverage this to form and test robust hypotheses about the bigger picture.
- Work across multiple teams and functions to bring shared understanding of where the highest impact opportunities are and how we deliver on them. Own your work end to end and scope your own initiatives - you'll be given real trust and independence, not a ticket queue.
- Turn ad hoc analyses and findings into powerful, scalable tooling for teammates and customers to self-serve. 💡 What you’ll bring
- Significant data science experience at a lead/staff level; building robust data pipelines is second nature, you’re fluent in SQL and Python, and have a strong understanding of statistical methods.
- A background working in a startup or a fast-moving tech environment, close to the product or customer side of the business.
- A knack for solving data puzzles and going from SQL queries to clear conclusions and next steps.