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 per 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) employer: Mindrift
Mindrift is an exceptional employer located in Birmingham, offering a dynamic work culture that prioritises flexibility and innovation. As a Data Science Engineer, you will have the opportunity to tackle real-world challenges across diverse industries, while benefiting from competitive compensation and a supportive environment that fosters professional growth and collaboration.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer - Python + SQL (Project-Based)
✨Tip Number 1
Show off your skills! Make sure your portfolio is packed with real-world projects that highlight your Python and SQL expertise. We want to see how you've tackled data science problems in finance or healthcare.
✨Tip Number 2
Network like a pro! Connect with professionals in the data science field on platforms like LinkedIn. We can help you find opportunities and get your foot in the door at Mindrift.
✨Tip Number 3
Prepare for those interviews! Brush up on your statistical analysis skills and be ready to discuss your past projects. We recommend practising common data science interview questions to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re here to support you every step of the way, so don’t hesitate to reach out if you need help.
We think you need these skills to ace Data Science Engineer - Python + SQL (Project-Based)
Some tips for your application 🫡
Showcase Your Portfolio:Make sure to highlight your portfolio in your application. We want to see real-world examples of your problem-solving skills, especially in Python and SQL. This is your chance to shine!
Tailor Your Application:Don’t just send a generic application! We love it when candidates tailor their applications to the role. Mention specific projects or experiences that relate to data science problems in finance and healthcare.
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. Make it easy for us to see your qualifications!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting project-based role!
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 Statistical Analysis
Since the role requires expert skills in statistical analysis, take some time to review key concepts and techniques. Be prepared to answer questions about how you've applied these skills in past projects, as this will demonstrate your practical knowledge.
✨Understand the Company’s Focus
Research Mindrift and their work in various industries. Understanding their approach to data science problems will help you tailor your answers and show that you're genuinely interested in contributing to their projects.
✨Prepare for Practical Scenarios
Expect to face practical scenarios during the interview. Practice solving data science problems on the spot, as this will showcase your analytical thinking and ability to apply your skills in real-time.
