At a Glance
- Tasks: Work on exciting AI projects using Python and SQL in a dynamic environment.
- Company: Global Food & Beverage organisation with a focus on innovation.
- Benefits: Hybrid working arrangements, autonomy, and support from a growing AI team.
- Why this job: Join a unique opportunity to make an impact in the Data Science field.
- Qualifications: Strong background in advanced analytics and proficiency in Python and SQL.
- Other info: Ideal for ambitious professionals seeking substantial career growth.
The predicted salary is between 36000 - 60000 £ per year.
A global Food & Beverage organisation is seeking two talented Data Scientists for their London office with hybrid working arrangements. Successful candidates will have a strong background in advanced analytical projects, primarily using Python and SQL, and will enjoy working in a dynamic environment with substantial autonomy. This role promises a variety of technical projects and significant support from a growing AI team, making it a unique opportunity for ambitious professionals in the Data Science field.
Hybrid Data Scientist: Greenfield AI Projects in England employer: TRIA
Contact Detail:
TRIA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Scientist: Greenfield AI Projects in England
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or attend industry events. A friendly chat can give us insights into the company culture and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best projects in Python and SQL. We want to demonstrate our analytical prowess and creativity, especially with AI projects that align with the role.
✨Tip Number 3
Ace the interview by practising common data science questions and case studies. Let’s get comfortable discussing our past experiences and how they relate to the dynamic environment of this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we fit perfectly with the team and their exciting AI projects.
We think you need these skills to ace Hybrid Data Scientist: Greenfield AI Projects in England
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've tackled advanced analytical projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand our needs and can demonstrate how they fit into our dynamic environment.
Be Yourself: Let your personality shine through in your written application. We’re looking for ambitious professionals who are not just skilled but also a great cultural fit for our team.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at TRIA
✨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 technologies, as well as any advanced analytical techniques you've applied. This will show that you're not just familiar with the tools, but that you can leverage them effectively in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex data challenges in the past. Think of examples where you've had to think outside the box or adapt your approach. This role is all about autonomy, so demonstrating your ability to solve problems independently will really impress the interviewers.
✨Understand the Company’s Vision
Research the global Food & Beverage organisation and understand their mission and values. Be ready to discuss how your skills and experiences align with their goals, especially in relation to AI projects. This shows that you're genuinely interested in the company and not just the job.
✨Ask Insightful Questions
Prepare a few thoughtful questions to ask at the end of your interview. Inquire about the types of AI projects the team is currently working on or how they measure success in their data initiatives. This not only demonstrates your enthusiasm for the role but also helps you gauge if the company is the right fit for you.