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- Tasks: Develop and implement data science solutions using machine learning techniques.
- Company: Innovative technology solutions company in the UK.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact by analysing data and presenting insights to diverse audiences.
- Qualifications: Bachelor’s or Master’s degree with experience in machine learning and programming skills.
- Other info: Join a dynamic team of data experts and enhance your career in a supportive environment.
The predicted salary is between 28800 - 43200 £ per year.
A technology solutions company in the United Kingdom seeks a Junior Data Scientist to join their team. In this role, you will work closely with data experts to develop and implement data science solutions. You will utilize machine learning techniques, analyze large datasets, and present your findings to both technical and non-technical stakeholders.
Candidates should have a Bachelor’s or Master’s degree along with relevant experience in machine learning and programming skills, especially in Python and SQL.
Junior Data Scientist: ML & Insights for Impact in Leeds employer: Why Hiring
Contact Detail:
Why Hiring Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist: ML & Insights for Impact in Leeds
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that Junior Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and analyses. This is your chance to demonstrate your Python and SQL prowess, so make sure it’s easily accessible for potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We recommend practising with friends or using mock interview platforms to build your confidence before facing the real deal.
✨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 are proactive about their job search!
We think you need these skills to ace Junior Data Scientist: ML & Insights for Impact in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and programming skills, especially in Python and SQL. We want to see how your background aligns with the Junior Data Scientist role, so don’t be shy about showcasing relevant projects or coursework!
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. We love seeing enthusiasm, so let your personality come through while keeping it professional.
Showcase Your Projects: If you've worked on any data science projects, whether in school or on your own, make sure to mention them! We’re interested in how you’ve applied machine learning techniques and analysed datasets, so include links or descriptions of your work.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to review your application more efficiently. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Why Hiring
✨Know Your Data Science Basics
Make sure you brush up on your machine learning fundamentals. Be ready to discuss algorithms, data preprocessing, and model evaluation techniques. This will show that you have a solid foundation and can engage in meaningful conversations with the data experts you'll be working with.
✨Showcase Your Programming Skills
Since Python and SQL are key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while writing code. Practising common data manipulation tasks in SQL and building simple models in Python can really help you shine.
✨Prepare for Technical and Non-Technical Questions
You’ll need to communicate your findings to both technical and non-technical stakeholders. Think about how you would explain complex concepts in simple terms. Practise explaining your past projects or experiences in a way that anyone could understand, regardless of their background.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects, the tools they use, or how they measure success. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
