Lead Data Scientist, Product

Provenir

21h•Remote

About The Position

Half data scientist. Half product thinker. Every time someone gets approved for a loan, a savings account, or a line of credit there's a decision happening in the background. A fast, automated, intelligent decision. At Provenir, we build the software that powers those decisions for banks and financial institutions around the world. We've created a brand new role to build something that doesn't yet exist inside our business: a dedicated R&D function at the crossroads of data science, product, and engineering. No inherited process. No existing playbook. Just exceptional people, the mandate to find what's missing, and the backing to build it. You'll sit within our Product function, working in close partnership with Data Science and Engineering. Data tells you what's wrong with what you have. Finding what you're missing requires conversations. You'll own your workstream end to end from research insight through to product roadmap recommendation, no handoffs. If you do your best work inside well-defined processes with a long onboarding runway, we'd rather you knew that upfront. But if you've always sat awkwardly between the academic and the commercial, if great research going nowhere frustrates you, if you've been waiting for a role that asks you to do both keep reading.

Requirements

A strong academic foundation in data science Masters, PhD, or equivalent applied research experience
Real, hands-on commercial data science experience not purely theoretical
Practical exposure to Generative AI, Agentic AI frameworks, or advanced Machine Learning
The ability to make credible recommendations even when the data picture isn't perfectly clean
In problems before solutions business needs first, science second
Like someone who can own a product workstream without a PM translating for you
With an instinct for what customers need, not just what the numbers show
A self-starter you add value before anyone has to ask
Equally comfortable in a strategic conversation and a deep technical one, and able to switch between them in the same meeting
Energised by fast-scaling environments, not exhausted by them
Clear and confident communicating with engineers, customers, and leadership alike
Excited by what this role doesn't have yet, rather than unsettled by it

Responsibilities

Lead original research into new AI capabilities Generative AI, Agentic AI, Machine Learning focused on what Provenir should build next
Turn research into concrete product recommendations the business can act on
Talk to customers and internal experts to surface unmet needs before they show up in the data
Collaborate with engineering and data science peers to move ideas from research into reality
Own the product narrative around your workstream, from first hypothesis through to roadmap