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- Tasks: Enhance client insights through data analysis and machine learning techniques.
- Company: Evelyn Partners, a forward-thinking firm in Glasgow.
- Benefits: Hybrid working model, private medical insurance, and generous holiday package.
- Other info: Collaborative environment with exciting analytics projects.
- Why this job: Join a dynamic team and make a real impact with your data skills.
- Qualifications: Expertise in SQL, Python, and experience with PowerBI and Azure datalake.
The predicted salary is between 35000 - 45000 £ per year.
Evelyn Partners in Glasgow is seeking a data analyst to enhance client insights through data analysis and machine learning techniques. The role involves designing data visualizations and collaborating on various analytics projects.
Candidates should possess strong expertise in advanced statistical models, SQL, and Python, along with experience in tools like PowerBI and Azure datalake.
The position offers a hybrid working model with competitive benefits, including private medical insurance and a generous holiday package.
Hybrid Data Scientist: ML, SQL, Python, PowerBI in Glasgow employer: Evelyn Partners
Contact Detail:
Evelyn Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist: ML, SQL, Python, PowerBI in Glasgow
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Evelyn Partners on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data visualisations and machine learning projects. This will help us stand out during interviews and demonstrate our expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data roles, especially around SQL and Python. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills match the job description perfectly.
We think you need these skills to ace Hybrid Data Scientist: ML, SQL, Python, PowerBI in Glasgow
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in SQL, Python, and any machine learning techniques you've used. We want to see how you can enhance client insights with your skills!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the job description. Mention your experience with PowerBI and Azure datalake specifically, as these are key for us.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points for your achievements and make it easy for us to see why you’re the perfect fit for the 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 don’t miss out on any important updates!
How to prepare for a job interview at Evelyn Partners
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and PowerBI skills. Be ready to discuss specific projects where you've used these tools, and think about how you can apply them to enhance client insights at Evelyn Partners.
✨Showcase Your Analytical Mindset
Prepare to talk about advanced statistical models you've worked with. Think of examples where your analytical skills led to significant insights or improvements in a project. This will demonstrate your ability to contribute to their analytics projects.
✨Visualisation is Key
Since the role involves designing data visualisations, be ready to discuss your approach to creating impactful visuals. Bring examples of your work, and explain how your visualisations helped stakeholders understand complex data.
✨Embrace the Hybrid Model
Familiarise yourself with hybrid working dynamics. Be prepared to discuss how you manage collaboration and communication in a hybrid environment, as this will show that you're adaptable and ready to thrive in their working model.