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For Companies At a Glance
- Tasks: Deliver AI solutions and analyse large datasets to solve real-world problems.
- Company: Leading economic consulting firm in the UK with a supportive team culture.
- Benefits: Full-time role with opportunities for learning and growth.
- Why this job: Join a dynamic team and make an impact through data science and AI.
- Qualifications: Recent degree in a related field and experience with Python and SQL.
- Other info: Collaborative environment that fosters professional development.
The predicted salary is between 28800 - 48000 £ per year.
A leading economic consulting firm in the United Kingdom is seeking a Graduate Data Scientist. The successful candidate will work on client projects, implementing technical skills to solve real-world problems while collaborating with a supportive team.
Responsibilities include:
- Delivering AI solutions
- Analyzing large datasets
- Writing production code
A recent degree in a related field and hands-on experience with Python and SQL are essential. This full-time position offers opportunities for learning and growth in a collaborative environment.
Graduate Data Scientist - Economics & AI employer: Econic Partners, LLC
Contact Detail:
Econic Partners, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist - Economics & AI
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the field of data science and economics. A friendly chat can lead to valuable insights and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and SQL. 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 common data science questions and case studies. Practising with friends or using mock interview platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give us an edge over other candidates.
We think you need these skills to ace Graduate Data Scientist - Economics & AI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences, especially in Python and SQL. We want to see how your background aligns with the role of a Graduate Data Scientist.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about economics and AI, and how you can contribute to our team. Keep it engaging and personal.
Showcase Your Projects: If you've worked on any projects involving data analysis or AI solutions, be sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
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 this exciting opportunity!
How to prepare for a job interview at Econic Partners, LLC
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages, as well as any challenges you faced and how you overcame them.
✨Understand the Company and Its Clients
Research the economic consulting firm thoroughly. Understand their client base and the types of projects they work on. This will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during the interview. Practice explaining your thought process clearly and logically. Use examples from your studies or previous experiences to demonstrate how you approach data analysis and AI solutions.
✨Show Your Collaborative Spirit
Since the role involves working in a team, be prepared to discuss your experiences collaborating with others. Highlight any group projects or teamwork scenarios where you contributed to a successful outcome, showcasing your ability to work well in a supportive environment.
