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- Tasks: Design analytical databases and develop machine learning models in a dynamic fintech environment.
- Company: A growing fintech company based in England with a focus on AI/ML.
- Benefits: Remote-first work, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make an impact in the fintech industry.
- Qualifications: Practical experience in machine learning and familiarity with fintech environments.
- Other info: Enjoy occasional meet-ups and a collaborative work culture.
The predicted salary is between 36000 - 60000 £ per year.
A growing fintech company based in England is seeking a hands-on Senior Data Scientist to build data and analytics foundations. This role involves designing analytical databases, developing machine learning models, and collaborating with stakeholders.
Ideal candidates should have practical experience in machine learning, operate independently, and be familiar with fintech or regulated environments.
The position offers remote-first work with occasional meet-ups and a mid-senior level full-time employment opportunity, competitive salary included.
Hands-On Senior Data Scientist – Fintech AI/ML (Remote) employer: SF Technology Solutions
Contact Detail:
SF Technology Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hands-On Senior Data Scientist – Fintech AI/ML (Remote)
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and analytical databases. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to collaborate with various stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it makes the process smoother for everyone involved.
We think you need these skills to ace Hands-On Senior Data Scientist – Fintech AI/ML (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and fintech. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science in the fintech space and how you can contribute to our team. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention the specific tools and technologies you’ve worked with. Whether it’s Python, R, or any machine learning frameworks, we want to know what you bring to the table. Be specific and confident!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at SF Technology Solutions
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your past projects in detail, especially those that relate to fintech. They’ll want to see how you’ve applied your skills in real-world scenarios.
✨Show Your Collaborative Side
Since this role involves working with stakeholders, be prepared to talk about how you've collaborated with others in previous roles. Share examples of how you’ve communicated complex data insights to non-technical team members or clients.
✨Understand the Fintech Landscape
Familiarise yourself with the current trends and regulations in the fintech industry. Being able to discuss these topics will show that you’re not just a data whiz but also understand the environment you’ll be working in.
✨Ask Smart Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
