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- Tasks: Optimise AI systems and empower data engineers through innovative data pipelines.
- Company: Leading data integration platform based in Manchester with a focus on collaboration.
- Benefits: Competitive salary, hybrid work model, and opportunities for innovation.
- Why this job: Shape the future of AI while working with cutting-edge technology.
- Qualifications: Strong background in machine learning, proficient in Python, and prompt engineering skills.
- Other info: Dynamic team environment with great potential for career growth.
The predicted salary is between 28800 - 48000 £ per year.
A leading data integration platform based in Manchester seeks a Data Scientist to optimize AI systems and empower data engineers. This role involves running evaluations on large language models and collaborating across teams to enhance AI capabilities.
The ideal candidate will have a strong background in machine learning, proficient in Python, and comfortable with prompt engineering.
Matillion offers a competitive salary and a hybrid work model, prioritizing collaboration and innovation.
AI Data Scientist: Shape AI-Driven Data Pipelines in Manchester employer: Matillion
Contact Detail:
Matillion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist: Shape AI-Driven Data Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with machine learning and Python. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to AI and data science. Mock interviews with friends can help us nail our responses.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace AI Data Scientist: Shape AI-Driven Data Pipelines in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our AI-driven data pipelines. Keep it engaging and personal – we love to see your personality!
Showcase Your Collaboration Skills: Since this role involves working across teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can enhance our collaborative spirit!
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 get to know you better!
How to prepare for a job interview at Matillion
✨Know Your AI Stuff
Make sure you brush up on your machine learning concepts and be ready to discuss how you've applied them in real-world scenarios. Familiarise yourself with large language models and be prepared to share your insights on their evaluation.
✨Python Proficiency is Key
Since the role requires strong Python skills, practice coding challenges or projects that showcase your ability to manipulate data and build models. Be ready to demonstrate your coding skills during the interview, as they might ask you to solve a problem on the spot.
✨Collaboration is Crucial
This position involves working closely with data engineers and other teams, so be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to enhance AI capabilities or optimise processes.
✨Prompt Engineering Know-How
Get comfortable with prompt engineering techniques, as this will likely come up in your interview. Think of specific instances where you've crafted prompts for AI models and be ready to explain your thought process and the outcomes.