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- Tasks: Transform complex data into actionable insights and influence company strategy.
- Company: Leading FinTech company with a focus on advanced analytics and AI.
- Benefits: Competitive salary, flexible hybrid work, private healthcare, and a learning budget.
- Why this job: Join a dynamic team and make a real impact in the FinTech industry.
- Qualifications: Strong statistical modeling, advanced Python skills, and machine learning experience.
- Other info: Exciting opportunity for growth in a fast-paced environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading FinTech company is seeking a skilled Data Scientist to enhance their advanced analytics and AI capabilities. In this role, you'll transform complex datasets into actionable insights and influence strategy across the organization.
Key qualifications include:
- Strong statistical modeling
- Advanced Python skills
- Experience with machine learning in production
The position offers a competitive salary, flexible hybrid working, and numerous benefits including private healthcare and a learning budget.
Data Scientist - AI/ML for FinTech, Remote/Hybrid in Leeds employer: Thyme
Contact Detail:
Thyme Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - AI/ML for FinTech, Remote/Hybrid in Leeds
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working with AI and ML. 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 involving Python and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge and be ready to discuss how you've applied it in real-world scenarios. We want to see how you can turn data into insights!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Scientist - AI/ML for FinTech, Remote/Hybrid in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong statistical modelling and advanced Python skills in your application. We want to see how you’ve used these skills in real-world scenarios, especially with machine learning in production.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary to showcase your expertise.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experience aligns with our needs in enhancing analytics and AI capabilities. Show us why you’re the perfect fit for this role.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Thyme
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects involving data analysis and machine learning. Be ready to discuss specific datasets you’ve worked with, the challenges you faced, and how you transformed those datasets into actionable insights.
✨Brush Up on Python and ML Concepts
Since advanced Python skills are crucial for this role, make sure you’re comfortable with libraries like Pandas, NumPy, and Scikit-learn. Prepare to answer technical questions or even solve coding problems during the interview to showcase your expertise.
✨Showcase Your Statistical Modelling Skills
Be prepared to discuss various statistical models you’ve used in your previous roles. Explain why you chose certain models over others and how they impacted the business decisions. This will demonstrate your analytical thinking and decision-making process.
✨Understand the FinTech Landscape
Familiarise yourself with current trends and challenges in the FinTech industry. Being able to discuss how your skills can address these challenges will show your genuine interest in the company and the role, making you a more attractive candidate.
