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- Tasks: Transform data into actionable insights using AI and machine learning.
- Company: Progressive fintech company focused on innovation and growth.
- Benefits: Hybrid working arrangement, competitive salary, and opportunities for professional development.
- Why this job: Join a dynamic team and make a real impact in the fintech industry.
- Qualifications: Expertise in Python, SQL, and statistical modeling required.
- Other info: Collaborative environment with exciting projects in AI and ML.
The predicted salary is between 36000 - 60000 £ per year.
A progressive fintech company is seeking a skilled Data Scientist to transform data into actionable insights. You will utilize your expertise in machine learning, Python, and SQL to deliver tailored data-driven solutions. This role involves spearheading analytics initiatives and working collaboratively across teams, contributing to strategic AI projects.
The ideal candidate has a strong understanding of statistical modeling and experience in deploying machine learning models, while fostering a culture of data-driven decisions. A hybrid working arrangement is available.
Data Scientist — AI & ML for Fintech Growth employer: Equals Money
Contact Detail:
Equals Money Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — AI & ML for Fintech Growth
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with AI and ML. Join relevant online communities or attend meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving machine learning and statistical modelling. 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 skills. Be ready to discuss your experience with Python, SQL, and deploying machine learning models. Practise explaining complex concepts in simple terms to demonstrate your communication skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can help us drive data-driven decisions. Keep an eye on our job listings and get your application in!
We think you need these skills to ace Data Scientist — AI & ML for Fintech Growth
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in machine learning, Python, and SQL right from the get-go. We want to see how your skills can transform data into actionable insights, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Data Scientist role. We love seeing candidates who take the time to align their experience with our needs in fintech growth.
Be Data-Driven: Since we’re all about data-driven decisions, include examples of how you’ve used statistical modelling and deployed machine learning models in your previous roles. Show us your analytical prowess!
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 this exciting opportunity in a hybrid working environment.
How to prepare for a job interview at Equals Money
✨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 past projects, especially in a fintech context. This will show your depth of knowledge and ability to transform data into actionable insights.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a coding problem or explain your approach to a data analysis task. Practising common algorithms and SQL queries can give you the edge you need.
✨Collaborative Mindset
Since this role involves working across teams, be prepared to discuss your experience in collaborative projects. Share examples of how you've contributed to team success and fostered a culture of data-driven decisions in previous roles.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the company's AI projects and analytics initiatives. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
