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- Tasks: Lead advanced analytics and machine learning initiatives to drive business decisions.
- Company: A leading FinTech company focused on innovation and data science.
- Benefits: Competitive salary, comprehensive benefits, and hybrid working options.
- Why this job: Tackle real-world data challenges and shape AI responsibly in production.
- Qualifications: Strong statistical modeling, advanced Python skills, and experience with AWS.
- Other info: Join a dynamic team and make a significant impact in the FinTech industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading FinTech company is seeking a Data Scientist to enhance their data science and AI capabilities. This role involves leading advanced analytics and machine learning initiatives that influence business decisions. You will utilize statistical modeling, advanced Python skills, and AWS services to produce impactful data insights.
A competitive salary and comprehensive benefits, including hybrid working arrangements, are offered. Ideal for candidates keen on tackling real-world data challenges and shaping AI responsibly in production.
Data Scientist - AI/ML for FinTech, Remote/Hybrid in Manchester 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 Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the FinTech space, especially those working with AI and machine learning. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving Python and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common data science interview questions and be ready to discuss how you've tackled real-world challenges in your past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Scientist - AI/ML for FinTech, Remote/Hybrid in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data science, AI, and machine learning. We want to see how your skills in Python and AWS can bring value to our team, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about FinTech and how you can tackle real-world data challenges. We love seeing enthusiasm and a clear understanding of our mission.
Showcase Your Projects: If you've worked on any cool data science projects, make sure to include them! Whether it's a personal project or something from a previous job, we want to see how you’ve applied your skills in practical scenarios.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Thyme
✨Know Your Data Science Fundamentals
Brush up on your statistical modelling and machine learning concepts. Be ready to discuss how you've applied these in real-world scenarios, especially in FinTech. This shows you can not only talk the talk but also walk the walk.
✨Show Off Your Python Skills
Prepare to demonstrate your advanced Python skills during the interview. You might be asked to solve a problem or explain your approach to a data challenge. Practising coding problems related to data manipulation and analysis can really help you shine.
✨Familiarise Yourself with AWS Services
Since the role involves using AWS, make sure you understand the relevant services like S3, EC2, and SageMaker. Being able to discuss how you've used these tools in past projects will give you an edge and show you're ready for the job.
✨Prepare for Behavioural Questions
Expect questions about how you tackle challenges and work in teams. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you convey your experiences clearly and effectively, making a strong impression.
