At a Glance
- Tasks: Solve real-world data science problems using Python and SQL across various industries.
- Company: Mindrift, a forward-thinking company based in Birmingham.
- Benefits: Flexible hours, competitive pay up to $55/hour, and project-based work.
- Other info: Ideal for students seeking practical experience with flexible commitments.
- Why this job: Make a tangible impact in finance and healthcare while honing your data science skills.
- Qualifications: Strong portfolio in data science, expert in Python and statistical analysis.
The predicted salary is between 44000 - 57200 £ per year.
Mindrift in Birmingham is looking for an expert Data Scientist to create and solve computational data science problems across industries like finance and healthcare. With a focus on practical application, candidates need a strong portfolio showcasing real-world problem-solving, expert skills in Python, and statistical analysis.
This project-based role offers flexible hours, with expected commitments of 10-20 hours per week during active phases and compensation up to $55 per hour.
Data Science Engineer - Python + SQL (Project-Based) in Birmingham employer: Mindrift
Mindrift is an excellent employer for those seeking a flexible and rewarding role in the innovative field of AI mortgage underwriting. With competitive compensation and a focus on part-time project-based work, employees benefit from a supportive work culture that values expertise and encourages professional growth. Located in Edinburgh, Mindrift offers a unique opportunity to contribute to cutting-edge technology while maintaining a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer - Python + SQL (Project-Based) in Birmingham
✨Tip Number 1
Show off your portfolio! Make sure it highlights your best projects, especially those that demonstrate your skills in Python and SQL. We want to see how you've tackled real-world problems, so include detailed explanations of your thought process and the impact of your work.
✨Tip Number 2
Network like a pro! Reach out to professionals in the data science field, attend meetups, or join online forums. We can help you connect with others who might know about opportunities at Mindrift or similar companies.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges in Python and SQL, and be ready to discuss your past projects in detail. We recommend simulating interview scenarios with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the easiest way to ensure your application gets noticed. Plus, we often have exclusive listings that you won’t find elsewhere, so keep an eye out for new opportunities that match your skills.
We think you need these skills to ace Data Science Engineer - Python + SQL (Project-Based) in Birmingham
Some tips for your application 🫡
Showcase Your Skills:Make sure to highlight your expertise in Python and SQL right from the start. We want to see how you've applied these skills in real-world scenarios, so don’t hold back on sharing your portfolio!
Tailor Your Application:Take a moment to customise your application for this role. Mention specific projects or experiences that relate to data science problems in finance and healthcare. This shows us you’re genuinely interested and have done your homework.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and experience at a glance.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Mindrift
✨Showcase Your Portfolio
Make sure to bring along a strong portfolio that highlights your real-world problem-solving skills. Be ready to discuss specific projects where you've used Python and SQL to tackle data science challenges, especially in finance or healthcare.
✨Brush Up on Technical Skills
Before the interview, take some time to review key concepts in Python and statistical analysis. You might be asked to solve a problem on the spot, so being sharp on your technical skills will definitely give you an edge.
✨Understand the Company’s Focus
Research Mindrift and their projects in various industries. Understanding their approach to data science and how they apply it in finance and healthcare will help you tailor your answers and show that you're genuinely interested in the role.
✨Prepare for Flexibility Questions
Since this is a project-based role with flexible hours, be prepared to discuss how you manage your time effectively. Share examples of how you've balanced multiple projects or commitments in the past to demonstrate your adaptability.
