Hybrid Junior Data Scientist - Data Insights & ML in Gloucester

Hybrid Junior Data Scientist - Data Insights & ML in Gloucester

Gloucester Temporary 24000 - 36000 £ / year (est.) Home office (partial)
UCAS - Universities and Colleges Admissions Service

At a Glance

  • Tasks: Use data science techniques to enhance products and services through analysis and machine learning.
  • Company: Leading education service organisation with an inclusive culture.
  • Benefits: Salary up to £30,000, 30 days annual leave, and hybrid working.
  • Why this job: Join a dynamic team and make a real impact in the education sector.
  • Qualifications: Passion for data science and willingness to learn new skills.
  • Other info: 12-month fixed-term contract with great career development opportunities.

The predicted salary is between 24000 - 36000 £ per year.

A leading education service organization is seeking a Junior Data Scientist for a 12-month fixed-term contract based in Gloucester. The candidate will utilize data science techniques to enhance products and services. This includes engaging in statistical analysis and machine learning to maximize data value.

The role offers an inclusive culture, hybrid working, and a salary up to £30,000 along with various benefits including 30 days of annual leave.

Hybrid Junior Data Scientist - Data Insights & ML in Gloucester employer: UCAS - Universities and Colleges Admissions Service

As a leading education service organisation, we pride ourselves on fostering an inclusive culture that values diversity and collaboration. Our hybrid working model allows for flexibility, while our commitment to employee growth is reflected in opportunities for professional development and a generous benefits package, including 30 days of annual leave. Join us in Gloucester to make a meaningful impact through data science and machine learning in the education sector.
UCAS - Universities and Colleges Admissions Service

Contact Detail:

UCAS - Universities and Colleges Admissions Service Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Hybrid Junior Data Scientist - Data Insights & ML in Gloucester

✨Tip Number 1

Network like a pro! Reach out to current or former employees in the education sector, especially those in data roles. A friendly chat can give us insights into the company culture and maybe even a referral!

✨Tip Number 2

Show off your skills! Prepare a portfolio showcasing your data science projects, especially any involving statistical analysis or machine learning. This will help us stand out during interviews and demonstrate our hands-on experience.

✨Tip Number 3

Practice makes perfect! Get comfortable with common interview questions for data scientists. We can even do mock interviews with friends or use online platforms to boost our confidence before the big day.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.

We think you need these skills to ace Hybrid Junior Data Scientist - Data Insights & ML in Gloucester

Data Science Techniques
Statistical Analysis
Machine Learning
Data Value Maximisation
Analytical Skills
Problem-Solving Skills
Communication Skills
Adaptability

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the Junior Data Scientist role. We want to see how your background in data science techniques can enhance our products and services!

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 inclusive culture at StudySmarter. Keep it engaging and personal!

Showcase Your Projects: If you've worked on any data science projects, be sure to mention them! We love seeing practical applications of statistical analysis and machine learning, so share your successes and what you learned along the way.

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 can’t wait to see your application come through!

How to prepare for a job interview at UCAS - Universities and Colleges Admissions Service

✨Know Your Data Science Basics

Make sure you brush up on your fundamental data science concepts, especially statistical analysis and machine learning techniques. Be ready to discuss how you've applied these in past projects or coursework, as this will show your practical understanding.

✨Showcase Your Problem-Solving Skills

Prepare to talk about specific challenges you've faced in data-related tasks and how you approached solving them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easier for the interviewer to follow your thought process.

✨Familiarise Yourself with the Company

Research the education service organisation and understand their products and services. Think about how your skills can enhance their offerings and be ready to share your ideas during the interview. This shows genuine interest and initiative.

✨Ask Insightful Questions

Prepare a few thoughtful questions to ask at the end of the interview. Inquire about the team dynamics, the tools they use for data analysis, or how success is measured in the role. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.

Hybrid Junior Data Scientist - Data Insights & ML in Gloucester
UCAS - Universities and Colleges Admissions Service
Location: Gloucester

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