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- Tasks: Collect and analyse data while applying machine learning algorithms.
- Company: Global leader in data analytics with a focus on innovation.
- Benefits: Gain hands-on experience and develop AI solutions in a collaborative environment.
- Why this job: Kickstart your career in data science with real-world projects and team collaboration.
- Qualifications: Must be enrolled in a UK university, studying Data Science or related fields.
- Other info: 12-month placement in Manchester with excellent growth opportunities.
The predicted salary is between 30000 - 42000 £ per year.
A global leader in data analytics is seeking an AI Placement Analyst for a 12-month undergraduate placement in Manchester. The role involves data collection, analysis, and application of machine learning algorithms.
Candidates should be enrolled in a UK university with a focus on Data Science or related fields, holding a predicted 2:1 or higher.
This position offers hands-on experience in developing data-driven AI solutions and collaboration across teams.
AI Placement Analyst: 12-Month UK Data Science Placement in Manchester employer: Hirebridge
Contact Detail:
Hirebridge Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Placement Analyst: 12-Month UK Data Science Placement in Manchester
✨Tip Number 1
Network like a pro! Reach out to your university's alumni or professionals in the data science field. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning algorithms and be ready to discuss your projects. We want to see your passion for data science shine through!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your interests and skills. Tailor your approach to show why you’re a perfect fit.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you fresh in their minds. It shows you’re keen and professional, which is always a plus in the competitive world of data science.
We think you need these skills to ace AI Placement Analyst: 12-Month UK Data Science Placement in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences related to data science and machine learning. We want to see how your background aligns with the role, so don’t be shy about showcasing your projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and data analytics. We love seeing candidates who can express their enthusiasm for the field and how they can contribute to our team.
Showcase Your Technical Skills: Since this role involves data collection and analysis, make sure to mention any programming languages or tools you’re familiar with, like Python or R. We’re keen on candidates who can hit the ground running with their technical know-how!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Hirebridge
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals, especially around machine learning algorithms. Be ready to discuss how you've applied these concepts in your studies or projects, as this will show your practical understanding of the role.
✨Showcase Your Analytical Skills
Prepare to share specific examples of data collection and analysis you've done. Whether it's a university project or an internship, having concrete examples will demonstrate your ability to handle real-world data challenges.
✨Understand the Company’s Focus
Research the global leader in data analytics and understand their products and services. Knowing their approach to AI solutions will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Practice Collaborative Scenarios
Since the role involves collaboration across teams, think of times when you've worked in a group setting. Be prepared to discuss how you contributed to team success and how you handle differing opinions, as teamwork is key in this position.
