At a Glance
- Tasks: Lead AI research and turn insights into actionable product recommendations.
- Company: A leading global fintech company based in Greater London.
- Benefits: Flexible working, comprehensive wellness plans, and a dynamic team environment.
- Why this job: Make a significant impact in an innovative fintech space while working remotely.
- Qualifications: Strong data science background and hands-on commercial experience.
- Other info: Engage with customers to uncover unmet needs and drive product innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading global fintech company in Greater London is seeking a Data Scientist/Product Thinker to lead research into new AI capabilities and transform insights into actionable product recommendations.
Ideal candidates will have a strong data science background, hands-on commercial experience, and an ability to engage with customers to uncover unmet needs.
Join a dynamic team where you can make a significant impact in an innovative fintech environment, while enjoying flexible working opportunities and comprehensive wellness plans.
Remote Product Data Scientist: AI Research to Roadmap employer: Provenir
Contact Detail:
Provenir Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Product Data Scientist: AI Research to Roadmap
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working in AI and data science. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to AI. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your product thinking skills. Be ready to discuss how you can turn data insights into actionable recommendations that meet customer needs.
✨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, we love seeing candidates who are proactive!
We think you need these skills to ace Remote Product Data Scientist: AI Research to Roadmap
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your data science background in your application. We want to see your hands-on experience and how you've used data to drive product decisions. Don't be shy about sharing specific examples!
Connect with Our Mission: When writing your application, connect your experiences to our goal of transforming insights into actionable recommendations. We love candidates who can demonstrate a clear understanding of how their skills align with our innovative fintech environment.
Engage with the Customer Perspective: We’re looking for someone who can engage with customers to uncover unmet needs. In your application, share any experiences where you’ve successfully identified customer pain points and how you addressed them through data-driven solutions.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Provenir
✨Know Your Data Science Fundamentals
Brush up on your data science principles and methodologies. Be ready to discuss your experience with AI capabilities, as well as any relevant projects you've worked on. This will show that you have the technical chops to back up your product thinking.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends in fintech, especially those related to AI. Being able to discuss how these trends can influence product development will demonstrate your industry knowledge and passion for the role.
✨Engage with Customer Needs
Prepare examples of how you've engaged with customers in the past to uncover their unmet needs. This could be through interviews, surveys, or user testing. Showing that you can translate customer insights into actionable recommendations is key.
✨Showcase Your Impact
Think about specific instances where your work has led to significant outcomes. Whether it’s a successful product launch or a data-driven decision that improved performance, be ready to share these stories to illustrate your potential impact in the new role.