At a Glance
- Tasks: Assess candidates and enhance hiring processes while collaborating with diverse teams.
- Company: Leading open source software provider with a focus on innovation.
- Benefits: Remote work, occasional travel, and opportunities for professional growth.
- Other info: Perfect for those passionate about data-driven hiring and technology.
- Why this job: Join a dynamic team and shape the future of talent selection in tech.
- Qualifications: Degree in psychology and experience in talent selection preferred.
The predicted salary is between 28800 - 48000 £ per year.
A leading open source software provider is looking for an entry-level candidate to join their Talent Science team. The ideal applicant will have a psychology-based degree and some experience in talent selection.
Responsibilities include:
- Assessing candidates
- Improving hiring processes
- Collaborating with stakeholders
The role requires analytical skills using SQL or Python and emphasizes communication and interest in technology. The position is remote, with occasional international travel for company events.
Graduate Talent Scientist — Remote, Data-Driven Hiring in Manchester employer: Canonical
As a leading open source software provider, we pride ourselves on fostering a dynamic and inclusive work culture that values innovation and collaboration. Our remote Graduate Talent Scientist role offers exceptional opportunities for professional growth, with access to cutting-edge technology and the chance to engage in international events, ensuring that you are not only part of a forward-thinking team but also empowered to shape the future of talent selection.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Talent Scientist — Remote, Data-Driven Hiring in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the Talent Science field on LinkedIn or at industry events. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got experience with SQL or Python, create a small project or analysis to demonstrate your abilities. Share it on GitHub or during interviews to impress potential employers.
✨Tip Number 3
Prepare for those interviews! Research common questions in talent selection and be ready to discuss your psychology background. We want to see how you think and approach problems, so practice articulating your thoughts clearly.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Graduate Talent Scientist — Remote, Data-Driven Hiring in Manchester
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your analytical skills, especially if you’ve got experience with SQL or Python. We want to see how you can use these tools to improve hiring processes!
Tailor Your Application:Don’t just send a generic CV and cover letter. Take the time to tailor your application to the role. Mention your psychology background and any relevant experience in talent selection to catch our eye.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your thoughts effectively—this is a key skill for the role!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Canonical
✨Know Your Stuff
Make sure you brush up on your psychology knowledge and how it applies to talent selection. Be ready to discuss any relevant coursework or projects you've done that relate to assessing candidates and improving hiring processes.
✨Show Off Your Tech Skills
Since the role requires analytical skills in SQL or Python, be prepared to talk about your experience with these tools. If you’ve worked on any data-driven projects, share those examples to demonstrate your capability.
✨Communicate Clearly
This position emphasises communication, so practice articulating your thoughts clearly and concisely. Think about how you can explain complex ideas simply, especially when discussing your approach to talent science.
✨Be Ready for Remote Work
As this is a remote position, show that you’re comfortable working independently and managing your time effectively. Mention any previous remote work experiences and how you stay organised and connected with your team.
