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- Tasks: Analyse data and develop machine learning models for exciting projects.
- Company: Join Peaple Talent, a forward-thinking company in Milton Keynes.
- Benefits: Enjoy a competitive salary, extensive training, and a discretionary bonus.
- Other info: Hybrid work model with great opportunities for career advancement.
- Why this job: Make an impact with blue chip clients while growing your data science skills.
- Qualifications: 2 years of experience in SQL, Machine Learning, and Python proficiency.
The predicted salary is between 30000 - 35000 £ per year.
Peaple Talent is seeking a passionate Junior Data Scientist for a hybrid role based in Milton Keynes. The position offers a basic salary ranging from £30,000 to £35,000 per annum, along with benefits including extensive training and a discretionary bonus.
The ideal candidate will have around 2 years of experience, strong skills in SQL and Machine Learning, and proficiency in Python. This role provides opportunities to work on exciting projects with blue chip clients.
Junior Data Scientist | Hybrid Milton Keynes | Training & Bonus employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist | Hybrid Milton Keynes | Training & Bonus
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. You never know who might have a lead on that perfect Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Machine Learning projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practising with friends or using mock interview platforms can help us feel more confident when it’s our turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that Junior Data Scientist gig, plus it shows you’re serious about joining the team.
We think you need these skills to ace Junior Data Scientist | Hybrid Milton Keynes | Training & Bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Machine Learning, and Python. We want to see how your skills match 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! Tell us why you’re passionate about data science and how you can contribute to our exciting projects. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to know what you've done and how it relates to the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Peaple Talent
✨Know Your Data
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, especially any machine learning applications. This will show your practical experience and understanding of the role.
✨Show Your Passion
Peaple Talent is looking for someone who is genuinely excited about data science. Share your enthusiasm for the field and any personal projects or learning experiences you've had. This can set you apart from other candidates.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts in simple terms, as you might need to demonstrate your thought process. Consider doing mock interviews with friends or using online platforms to get comfortable.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the team, projects, or company culture. This shows that you're not just interested in the job, but also in how you can contribute to the company's success and grow within it.