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For Companies At a Glance
- Tasks: Work on exciting data science projects and tackle complex challenges.
- Company: Global Data Consultancy with a focus on innovation and growth.
- Benefits: Competitive salary, hybrid working, extensive training, and bonuses.
- Other info: Great opportunity for career advancement in a supportive environment.
- Why this job: Join a dynamic team and enhance your skills in a thriving industry.
- Qualifications: 2 years of experience in Data Science, SQL, Python, and Machine Learning.
The predicted salary is between 30000 - 35000 £ per year.
Peaple Talent have partnered with a Business Consulting and Service looking for a passionate Junior Data Scientist. The client is a global Data Consultancy working with many blue chip clients as well as more niche, tech focused companies. You will be exposed to many projects which can advance your skills and provide you with commercial experience in new areas of Data Science on a regular basis.
The Role
- You'll be primarily responsible for working on large complex data science projects.
- The perfect candidate will be very comfortable dealing with demanding stakeholders and providing time-driven results with confidence.
Based in Milton Keynes this position is Hybrid x2 days a week in office.
The Candidate
- Experience of roughly 2 years as a Data Scientist.
- Experience in SQL, Machine Learning, Python.
The Package
- Basic salary: £30,000-£35,000 per annum.
- Benefits include extensive training, discretionary bonus, hybrid working.
Interested? If you think you’re right for this Data Science role, then click the ‘Apply Now’ button, send us your CV and we’ll consider you for the first round of interviews.
Data Scientist employer: Peaple Talent
Contact Detail:
Peaple Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. 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 Machine Learning, Python, and SQL. 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 practising common data science questions and case studies. Be ready to discuss your past experiences and how they relate to the role. Confidence is key, so rehearse until you feel comfortable!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate candidates like you, so don’t hesitate to hit that ‘Apply Now’ button!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Machine Learning, Data Analysis, Python, and SQL. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Projects: If you've worked on any interesting data science projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your practical experience in action.
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’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Peaple Talent
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of Machine Learning, SQL, Python, and Data Visualisation tools. Be ready to discuss specific projects you've worked on and how you applied these skills. This will show that you're not just familiar with the concepts but can also apply them in real-world scenarios.
✨Prepare for Stakeholder Scenarios
Since the role involves dealing with demanding stakeholders, think about past experiences where you had to manage expectations or deliver results under pressure. Prepare a couple of examples to demonstrate your ability to communicate effectively and handle challenging situations.
✨Show Your Passion for Data
Let your enthusiasm for data science shine through! Talk about what excites you about the field, any personal projects you've undertaken, or new technologies you're keen to explore. This will help you stand out as someone who is genuinely passionate about the work.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the types of projects you might be working on, the team dynamics, or opportunities for professional development. This shows that you're engaged and serious about the role, plus it gives you valuable insights into the company culture.