Senior Data Scientist (Python & SQL) β€” Project-Based in Glasgow

Senior Data Scientist (Python & SQL) β€” Project-Based in Glasgow

Glasgow Full-Time 44000 - 57000 € / year (est.) No home office possible
Mindrift

At a Glance

  • Tasks: Design and solve real-world analytical problems using Python and SQL.
  • Company: Mindrift, a forward-thinking data science company in Glasgow.
  • Benefits: Flexible part-time hours with competitive pay up to $55 per hour.
  • Other info: Perfect for those seeking dynamic, non-permanent roles.
  • Why this job: Make an impact across various industries while enjoying project-based flexibility.
  • Qualifications: 5+ years of data science experience and a strong portfolio required.

The predicted salary is between 44000 - 57000 € per year.

Mindrift in Glasgow, UK, is seeking Data Science specialists for project-based opportunities. Contributors will design computational problems that simulate real-world analytical workflows across various industries.

With a focus on Python programming and statistical analysis, candidates should have over 5 years of data science experience and a strong portfolio.

Compensation can reach up to $55 per hour based on expertise. This is a part-time, non-permanent role, ideally suited for those looking for flexible work arrangements.

Senior Data Scientist (Python & SQL) β€” Project-Based in Glasgow employer: Mindrift

Mindrift is an exceptional employer that values innovation and flexibility, making it an ideal workplace for Senior Data Scientists in Glasgow. With a strong emphasis on project-based work, employees enjoy the freedom to tackle real-world analytical challenges while benefiting from competitive compensation and a supportive work culture that fosters professional growth and collaboration. Join us to be part of a dynamic team where your expertise in Python and SQL can truly make an impact.

Mindrift

Contact Detail:

Mindrift Recruiting Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Scientist (Python & SQL) β€” Project-Based in Glasgow

✨Tip Number 1

Network like a pro! Reach out to fellow data scientists and industry professionals on LinkedIn. Join relevant groups and participate in discussions to get your name out there.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and SQL. Make sure to highlight any real-world problems you've solved.

✨Tip Number 3

Tailor your approach! When applying for roles, customise your pitch to match the specific needs of the project. Show how your experience aligns with the challenges they face.

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen!

We think you need these skills to ace Senior Data Scientist (Python & SQL) β€” Project-Based in Glasgow

Python Programming
SQL
Statistical Analysis
Data Science Experience
Analytical Problem Solving
Portfolio Development
Computational Modelling

Some tips for your application 🫑

Showcase Your Experience:Make sure to highlight your 5+ years of data science experience in your application. We want to see how you've tackled real-world problems using Python and SQL, so don’t hold back on sharing specific projects or achievements!

Tailor Your Portfolio:Your portfolio is your chance to shine! We recommend including examples that demonstrate your skills in statistical analysis and computational problem-solving. Make it relevant to the types of projects we work on at Mindrift.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for this role.

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!

How to prepare for a job interview at Mindrift

✨Showcase Your Portfolio

Make sure to bring along a strong portfolio that highlights your previous data science projects. We recommend selecting examples that demonstrate your skills in Python and SQL, as well as your ability to solve real-world problems. Be ready to discuss the challenges you faced and how you overcame them.

✨Brush Up on Statistical Analysis

Since the role focuses heavily on statistical analysis, it’s crucial to review key concepts and methodologies. We suggest preparing to explain how you've applied these techniques in past projects. This will show your depth of knowledge and practical experience.

✨Understand Mindrift's Projects

Do some research on Mindrift and their project-based work. Familiarise yourself with the types of industries they operate in and think about how your skills can contribute to their goals. We believe this will help you tailor your responses and demonstrate genuine interest in the company.

✨Prepare for Technical Questions

Expect technical questions related to Python and SQL during the interview. We advise practising coding problems and SQL queries beforehand. Being able to articulate your thought process while solving these problems will impress the interviewers and showcase your analytical skills.