Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead innovative research in AI and turn insights into actionable product recommendations.
- Company: Provenir, a global fintech redefining decision-making in financial services.
- Benefits: Comprehensive health plans, flexible remote work, paid time off, and inclusive culture.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Join a pioneering team at the intersection of data science and product development.
- Qualifications: Strong background in data science with hands-on commercial experience in AI.
The predicted salary is between 70000 - 90000 £ per year.
Provenir is a global fintech company with offices across North America, the UK, and Singapore backed by talented teams across APAC, EMEA, and LATAM. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders.
As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!
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.
What You'll Do
- 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
What We're Looking For
Technically, you bring…
- 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
Commercially, you think…
- 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
As a person, you are…
- 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
Our employees are our top priority; we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave.
At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, colour, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.
Lead Data Scientist, Product employer: Provenir
Contact Detail:
Provenir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist, Product
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those at Provenir. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or projects that highlight your data science prowess, make sure to share them during interviews. It’s all about proving you can walk the walk.
✨Tip Number 3
Prepare for those tricky questions! Think about how you’d tackle real-world problems using AI and machine learning. Be ready to discuss your thought process and how you’d approach challenges at Provenir.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Lead Data Scientist, Product
Some tips for your application 🫡
Show Your Passion: Let us see your enthusiasm for data science and product development right from the start. Share your experiences and projects that highlight your love for innovation and problem-solving in the fintech space.
Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how your background aligns with what we're looking for, so don’t hold back!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your achievements and how they relate to the role. We appreciate clarity and directness!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Provenir
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around Generative AI and Machine Learning. Be ready to discuss your hands-on experience and how you've applied these concepts in real-world scenarios. Provenir is looking for someone who can turn research into actionable insights, so be prepared to showcase your analytical skills.
✨Understand the Product Landscape
Familiarise yourself with Provenir's products and the fintech landscape. Think about how your research could translate into product recommendations. Show that you can think like a product owner by discussing potential customer needs and how they align with the company's goals.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when switching between technical and strategic discussions. Provenir values clear communication, so be ready to explain complex ideas in simple terms. This will help you connect with both technical teams and leadership during the interview.
✨Show Your Passion for Innovation
Provenir is all about redefining the industry, so demonstrate your enthusiasm for innovation and problem-solving. Share examples of how you've tackled challenges in fast-paced environments and how you thrive in roles that require creativity and initiative. They want to see that you're excited about building something new!