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- Tasks: Design analytical databases and develop machine learning models in a fintech environment.
- Company: A growing fintech company based in England with a remote-first culture.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the exciting world of fintech AI/ML.
- Qualifications: Practical experience in machine learning and familiarity with fintech or regulated environments.
- Other info: Enjoy occasional meet-ups and a supportive work atmosphere.
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) in England 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) in England
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space on LinkedIn or at industry events. A personal connection can often get your foot in the door faster than a CV.
✨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 those interviews! Brush up on your technical knowledge and be ready to discuss your past projects in detail. We want to see how you think and solve problems, so practice articulating your thought process.
✨Tip Number 4
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 take that extra step to connect with us directly.
We think you need these skills to ace Hands-On Senior Data Scientist – Fintech AI/ML (Remote) in England
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 to see your personality!
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a machine learning model or an analytical database, we want to know what you've done and how it relates to the role.
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 from our team!
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 Off Your Collaboration Skills
Since this role involves working with stakeholders, be prepared to talk about how you've successfully collaborated with others in the past. Share examples of how you’ve communicated complex data insights to non-technical team members.
✨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.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
