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- Tasks: Develop AI systems to revolutionise talent acquisition and design innovative research strategies.
- Company: Leading tech firm in Scotland with a focus on advanced technologies.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team transforming hiring processes with cutting-edge AI technology.
- Qualifications: Master's or PhD in a quantitative field and strong data analysis skills required.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology firm in Scotland is seeking a Research Scientist to develop AI-powered systems for talent acquisition. The role involves designing research strategies, conducting validation studies, and collaborating with cross-functional teams.
Ideal candidates have a Master's or PhD in a quantitative field with over 5 years of relevant experience, strong data analysis skills, and proficiency in scripting languages like R or Python.
Join a team focused on using advanced technologies to transform hiring processes.
AI Research Scientist: Talent Acquisition & Scale employer: Amazon Development Centre (Scotland) Limited
Contact Detail:
Amazon Development Centre (Scotland) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Scientist: Talent Acquisition & Scale
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and tech space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially around talent acquisition. Be ready to discuss how your skills in data analysis and scripting can contribute to their goals.
✨Tip Number 3
Showcase your work! Create a portfolio of your past projects, especially those involving AI and data analysis. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨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 by the right people.
We think you need these skills to ace AI Research Scientist: Talent Acquisition & Scale
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and talent acquisition. We want to see how your skills align with the role, so don’t be shy about showcasing your data analysis prowess and any projects you've worked on using R or Python.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in talent acquisition and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Research Skills: Since this role involves designing research strategies, make sure to include examples of past research projects. We’re keen to see how you’ve approached validation studies and collaborated with teams, so don’t hold back on the details!
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Amazon Development Centre (Scotland) Limited
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI, especially those related to talent acquisition. Be prepared to discuss how your experience aligns with the company's goals and how you can contribute to developing innovative AI-powered systems.
✨Showcase Your Data Skills
Since strong data analysis skills are crucial for this role, come ready to demonstrate your proficiency in R or Python. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to show off your technical prowess.
✨Collaboration is Key
This position involves working with cross-functional teams, so be ready to share examples of past collaborations. Highlight how you’ve successfully worked with others to achieve common goals, and emphasise your communication skills.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so think of insightful questions to ask about the company’s vision for AI in talent acquisition. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
