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- Tasks: Build models and analyse large datasets to create data-driven products.
- Company: Dynamic tech recruitment firm in Newcastle upon Tyne.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a growing team and solve real business problems with data science.
- Qualifications: Strong background in quantitative subjects and proficiency in Python and SQL.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 30000 - 42000 £ per year.
A technology recruitment firm in Newcastle upon Tyne is seeking a Data Scientist to join their growing team. This hybrid role combines analytics and machine learning to create data-driven products. As a Data Scientist, you will build models, work with large datasets, and collaborate with various teams to solve pressing business problems.
The ideal candidate has a strong grounding in quantitative subjects, as well as proficiency in Python and SQL.
Applied Data Scientist — End-to-End ML in Production (Hybrid) in Newcastle upon Tyne employer: Oliver Bernard
Contact Detail:
Oliver Bernard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist — End-to-End ML in Production (Hybrid) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 projects, especially those involving machine learning and data analysis. 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 and SQL, and practice explaining your thought process when solving data problems. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Applied Data Scientist — End-to-End ML in Production (Hybrid) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with analytics and machine learning. We want to see how you've built models and worked with large datasets, so don’t hold back on those details!
Showcase Your Skills: When writing your cover letter, emphasise your proficiency in Python and SQL. We’re looking for candidates who can hit the ground running, so let us know how you’ve used these skills in past projects.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see why you’re a great fit for the role.
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 ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Oliver Bernard
✨Know Your Data Science Fundamentals
Brush up on your knowledge of machine learning concepts and algorithms. Be prepared to discuss how you’ve applied these in real-world scenarios, especially in building models and working with large datasets.
✨Showcase Your Technical Skills
Make sure you can demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a coding problem or explain how you've used these tools in past projects, so practice coding challenges beforehand.
✨Prepare for Collaboration Questions
Since this role involves working with various teams, think about examples from your past experiences where you successfully collaborated with others. Be ready to discuss how you approached teamwork and resolved any conflicts.
✨Understand the Business Context
Research the company and its industry to understand the pressing business problems they face. This will help you tailor your answers and show that you’re not just a tech whiz, but also someone who can apply data science to drive business value.