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For Companies At a Glance
- Tasks: Collaborate on AI-driven projects and build smart data pipelines.
- Company: Leading global consumer goods company with an innovative team.
- Benefits: Competitive benefits, supportive culture, and opportunities for continual development.
- Why this job: Join a dynamic team and work on cutting-edge AI technology.
- Qualifications: Degree in Computer Science, strong Python and SQL skills, and a curious mindset.
- Other info: Exciting career growth opportunities in a collaborative environment.
The predicted salary is between 30000 - 50000 £ per year.
A leading global consumer goods company is seeking a Software Engineer to join their innovative team in Weybridge, UK. The role involves collaborating on AI-driven projects, building smart systems, and maintaining robust data pipelines.
Ideal candidates will have:
- a degree in Computer Science or related fields,
- strong skills in Python and SQL,
- a curious mindset.
This position offers competitive benefits and promotes continual development within a supportive culture.
AI-Driven Software Engineer: Data Pipelines & LLMs in Weybridge employer: P & G
Contact Detail:
P & G Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Software Engineer: Data Pipelines & LLMs in Weybridge
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. It’s all about making connections that can help us get our foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AI. This gives us a chance to demonstrate our expertise beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to Python and SQL. We should also be ready to discuss our problem-solving approach and how we tackle challenges in AI-driven projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, it shows we’re genuinely interested in joining the team.
We think you need these skills to ace AI-Driven Software Engineer: Data Pipelines & LLMs in Weybridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you’ve used these languages in past projects, so don’t hold back on the details!
Be Curious: Since we’re looking for a curious mindset, share examples of how you've explored new technologies or tackled challenges. This will show us that you’re not just about coding but also about learning and growing.
Tailor Your Application: Don’t send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We love seeing candidates who take the extra step to connect their experience with what we’re looking for.
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’s super easy!
How to prepare for a job interview at P & G
✨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.
✨Show Your Curiosity
This role values a curious mindset, so come prepared with questions about the company's AI-driven projects. Demonstrating your interest in their work will show that you're not just looking for a job, but are genuinely excited about contributing to their innovative team.
✨Prepare for Problem-Solving Scenarios
Expect to tackle some technical problems during the interview. Practice coding challenges or data pipeline scenarios that might come up, and be ready to explain your thought process clearly. This will showcase your analytical skills and ability to think on your feet.
✨Emphasise Team Collaboration
Since the role involves collaboration, be sure to highlight your experience working in teams. Share examples of how you've successfully collaborated on projects, especially those related to AI or data management, to demonstrate that you can thrive in a supportive culture.
