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- Tasks: Enhance modelling approaches using deep learning and connect data science to business outcomes.
- Company: Leading financial technology firm with a global reach.
- Benefits: Competitive pay, flexible remote work, and career growth opportunities.
- Why this job: Join us in building a credit system that impacts millions of lives.
- Qualifications: Experience with neural networks and ML frameworks required.
- Other info: Collaborate with a diverse team across multiple countries.
The predicted salary is between 36000 - 60000 £ per year.
A leading financial technology firm is seeking a Lead Data Scientist, Methodologies to enhance their modeling approaches using deep learning. The ideal candidate will have experience with neural networks and ML frameworks, and a strong ability to connect data science to business outcomes.
This remote-first position allows collaboration across multiple countries, and offers competitive pay, flexibility, and career growth opportunities based on contributions. Join us in building a new credit system that impacts millions of lives.
Lead Data Scientist - Remote, Foundational ML for Credit in London employer: Tilt (formerly Empower)
Contact Detail:
Tilt (formerly Empower) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist - Remote, Foundational ML for Credit in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the fintech space on LinkedIn or attend virtual meetups. Building connections can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and neural networks. 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 technical knowledge and business acumen. Be ready to discuss how your data science expertise can drive business outcomes, as that’s what they’re really after!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Data Scientist - Remote, Foundational ML for Credit in London
Some tips for your application 🫡
Show Your Passion for Data Science: When writing your application, let your enthusiasm for data science shine through! Share specific examples of how you've used deep learning and neural networks in past projects. We want to see your excitement for the field and how it connects to our mission.
Connect the Dots: Make sure to highlight how your data science skills translate into real business outcomes. We’re looking for someone who can bridge the gap between technical expertise and practical applications. Use clear examples to demonstrate this connection in your application.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to the Lead Data Scientist role. Mention specific methodologies or frameworks that align with what we’re doing at StudySmarter, and show us why you’re the perfect fit.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Tilt (formerly Empower)
✨Know Your Neural Networks
Make sure you brush up on your knowledge of neural networks and deep learning methodologies. Be ready to discuss specific projects where you've applied these techniques, and how they contributed to business outcomes. This will show your technical expertise and ability to connect data science with real-world applications.
✨Showcase Your Business Acumen
Prepare examples that highlight how your data science work has positively impacted business decisions or outcomes. Think about metrics or KPIs that improved due to your contributions. This will demonstrate that you understand the importance of aligning data science with business goals.
✨Embrace Remote Collaboration
Since this is a remote-first position, be ready to discuss your experience working in distributed teams. Share how you effectively communicate and collaborate with colleagues across different time zones and cultures. This will reassure them that you can thrive in their flexible work environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for their credit system and how they see the role of a Lead Data Scientist evolving. This shows your genuine interest in the position and helps you gauge if the company aligns with your career aspirations.
