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- Tasks: Collect and analyse data, build models, and collaborate across departments.
- Company: Exciting pet food company in Nottingham focused on dog nutrition tech.
- Benefits: Salary between £33,000-£38,000, learning budgets, and mental wellbeing support.
- Other info: Great opportunity for growth in a supportive environment.
- Why this job: Join a passionate team and make a difference in pet nutrition.
- Qualifications: Degree in a relevant field and skills in Python or R.
The predicted salary is between 33000 - 38000 £ per year.
A pet food company in Nottingham is seeking a motivated Junior Data Scientist to join their data team. The role includes responsibilities such as collecting and analyzing data, building models, and collaborating with various departments.
Candidates should have a degree in a relevant field and proficiency in data analysis tools like Python or R.
The position offers a salary between £33,000 and £38,000 per annum, along with benefits such as learning budgets and mental wellbeing support.
Junior Data Scientist: Learn & Grow in Dog Nutrition Tech in Nottingham employer: More Years
Contact Detail:
More Years Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist: Learn & Grow in Dog Nutrition Tech in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the pet food industry or data science community on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to nutrition or pets. This will help us see your practical experience and passion for the field.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and case studies. We want to see how you think, so practice explaining your thought process clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Junior Data Scientist: Learn & Grow in Dog Nutrition Tech in Nottingham
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science! Share any relevant projects or experiences that highlight your skills in data analysis and model building. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this role. Highlight your degree and any experience with Python or R, as these are key for us. A tailored application shows you’ve done your homework and are serious about joining our team.
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website: Don’t forget to apply 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 and what we stand for.
How to prepare for a job interview at More Years
✨Know Your Data Tools
Make sure you brush up on your skills with Python or R before the interview. Be ready to discuss specific projects where you've used these tools, as this will show your practical experience and understanding of data analysis.
✨Understand Dog Nutrition
Since the role is in dog nutrition tech, do a bit of research on the industry. Familiarise yourself with common nutritional concepts and trends in pet food. This knowledge will help you connect your data skills to the company's mission.
✨Prepare for Collaboration Questions
The job involves working with various departments, so be prepared to discuss how you've collaborated in the past. Think of examples where you successfully communicated data insights to non-technical teams, as this will highlight your teamwork skills.
✨Show Your Motivation to Learn
This position is all about growth, so express your eagerness to learn and develop. Mention any relevant courses or certifications you're considering, and how you plan to use the learning budget to enhance your skills in data science.