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- Tasks: Analyse data and provide insights to drive growth in a dynamic mortgage tech environment.
- Company: Leading mortgage technology company in the UK with a focus on innovation.
- Benefits: Flexible holidays, enhanced parental leave, and international remote work options.
- Why this job: Join a forward-thinking team and make a real impact through data-driven decisions.
- Qualifications: Strong SQL skills and a degree in an analytical field required.
- Other info: Opportunity for professional development and a supportive work culture.
The predicted salary is between 28800 - 48000 £ per year.
A mortgage technology company in the UK is looking for a Junior Data Scientist to drive data analysis and insights. The role involves applying advanced statistical techniques, developing a data-driven mindset across the business, and delivering training.
Candidates should have:
- Strong SQL skills
- Experience with dashboards
- A degree in an analytical field
The company offers:
- Flexible holidays
- Enhanced parental leave
- The option for international remote work
Junior Data Scientist: Drive Data-Driven Growth employer: Habito
Contact Detail:
Habito Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist: Drive Data-Driven Growth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and dashboards. 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 common data science questions and case studies. Practice explaining your thought process clearly, as communication is key in driving that data-driven mindset across the business.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Junior Data Scientist: Drive Data-Driven Growth
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL experience in your application. We want to see how you've used it in past projects or roles, so don’t hold back on the details!
Tailor Your CV and Cover Letter: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, so make it clear why you're the perfect fit for the Junior Data Scientist position.
Demonstrate Your Analytical Mindset: In your application, share examples of how you've applied advanced statistical techniques in real-world scenarios. We’re keen to see your analytical thinking in action!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and keep everything organised. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Habito
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with databases and how you've used SQL in past projects. Practising common SQL queries can help you feel more confident when discussing technical aspects.
✨Showcase Your Analytical Mindset
During the interview, highlight your ability to apply advanced statistical techniques. Prepare examples of how you've used data analysis to drive insights or solve problems in previous roles or projects. This will demonstrate your analytical mindset and relevance to the role.
✨Familiarise Yourself with Dashboards
If you have experience with data visualisation tools, be ready to talk about them. Bring examples of dashboards you've created or worked with, and explain how they helped in decision-making processes. This shows your practical application of data insights.
✨Emphasise Your Training Skills
Since the role involves delivering training, think about how you can convey your ability to teach others. Prepare to discuss any experience you have in training or mentoring, and consider how you would approach teaching data-driven concepts to non-technical colleagues.
