Junior Data Scientist

Junior Data Scientist

Etwall Entry level 28800 - 43200 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse data and provide insights to drive business decisions.
  • Company: Global workforce solutions partner focused on inclusivity and innovation.
  • Benefits: Competitive salary, flexible working hours, and opportunities for growth.
  • Why this job: Join a dynamic team and make a real impact with your data skills.
  • Qualifications: Strong analytical skills and a passion for data science.
  • Other info: Exciting career development opportunities in a supportive environment.

The predicted salary is between 28800 - 43200 £ per year.

Job Description

AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies.

Our Contingent Workforce Solution (CWS) is one way we support our clients. Acting as an extension of their recruitment teams, we connect them with ski…

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Junior Data Scientist employer: AMS CWS

AMS is an exceptional employer for aspiring Junior Data Scientists, offering a vibrant work culture that champions inclusivity and innovation. With a strong focus on employee growth, we provide ample opportunities for professional development and skill enhancement in a dynamic environment, all while being part of a global team dedicated to shaping the future of workforce solutions.
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Contact Detail:

AMS CWS Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior Data Scientist

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that Junior Data Scientist role.

✨Tip Number 2

Prepare for those interviews! Research common data science questions and practice your answers. We recommend doing mock interviews with friends or using online platforms to boost your confidence before facing the real deal.

✨Tip Number 3

Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We believe that demonstrating your skills with real examples can set you apart from other candidates.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. We’re always on the lookout for fresh talent, so don’t hesitate to put yourself out there and take that leap!

We think you need these skills to ace Junior Data Scientist

Data Analysis
Statistical Modelling
Machine Learning
Python
R
SQL
Data Visualisation
Communication Skills
Problem-Solving Skills
Team Collaboration
Adaptability
Critical Thinking

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Junior Data Scientist role. Highlight relevant skills and experiences that align with what we’re looking for. This shows us you’ve done your homework and are genuinely interested in the position.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data science and how your background makes you a great fit for our team. Keep it engaging and personal – we want to get to know you!

Showcase Your Projects: If you’ve worked on any data science projects, don’t forget to mention them! Whether they’re academic, personal, or professional, showcasing your work helps us see your practical skills and creativity in action.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s super easy and ensures your application gets to the right place. Plus, you’ll be one step closer to joining our awesome team!

How to prepare for a job interview at AMS CWS

✨Know Your Data

As a Junior Data Scientist, you’ll want to brush up on your data analysis skills. Be prepared to discuss your experience with data manipulation and any tools you've used, like Python or R. Show them you can turn raw data into actionable insights!

✨Understand the Company

Do a bit of homework on AMS and their approach to workforce solutions. Familiarise yourself with their values around inclusivity and dynamic workplaces. This will help you tailor your answers and show that you're genuinely interested in contributing to their mission.

✨Prepare for Technical Questions

Expect some technical questions during your interview. Brush up on key concepts in statistics, machine learning, and data visualisation. Practising common interview questions can help you articulate your thought process clearly when tackling problems.

✨Showcase Your Soft Skills

While technical skills are crucial, don’t forget to highlight your soft skills! Communication, teamwork, and adaptability are vital in a collaborative environment. Share examples from past experiences where you’ve successfully worked in a team or adapted to change.

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