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- Tasks: Join a multi-disciplinary team to develop high-tech data solutions.
- Company: Peaple Talent, a forward-thinking company in the heart of Bristol.
- Benefits: Competitive salary, extensive training, and a discretionary bonus.
- Why this job: Make an impact with your skills in SQL, Python, and Machine Learning.
- Qualifications: Experience in deploying machine learning models and strong technical skills.
The predicted salary is between 40000 - 60000 £ per year.
Peaple Talent is looking for a passionate Data Scientist in Bristol for a permanent hybrid position. The role involves working on various high-tech data solutions in a multi-disciplinary team and requires strong knowledge of SQL, Python, and Machine Learning. The ideal candidate should have commercial experience deploying machine learning models.
The salary is competitive, ranging between £40,000 and £60,000, with benefits including extensive training and a discretionary bonus.
Data Scientist - Hybrid Bristol | ML & Data Analytics Pro employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Hybrid Bristol | ML & Data Analytics Pro
✨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 the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and machine learning. 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 practical tests. Practice explaining your thought process when deploying machine learning models, as this is key to impressing your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Scientist - Hybrid Bristol | ML & Data Analytics Pro
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and Machine Learning. We want to see how your skills match the role, so don’t be shy about showcasing your relevant projects!
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 multi-disciplinary team. Keep it engaging and personal.
Showcase Your Projects: If you've deployed machine learning models before, share those experiences! We love seeing real-world applications of your skills, so include links or descriptions of your projects.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Peaple Talent
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, Python, and Machine Learning skills. Be ready to discuss specific projects where you've deployed machine learning models. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Team Spirit
Since this role involves working in a multi-disciplinary team, be prepared to talk about your experience collaborating with others. Share examples of how you’ve contributed to team projects and how you handle feedback and differing opinions.
✨Prepare for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practise common data science problems and be ready to explain your thought process clearly. This will demonstrate your problem-solving skills and technical expertise.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, the types of projects you'll be working on, and the company’s approach to training and development. This shows your genuine interest in the role and helps you assess if it's the right fit for you.