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- Tasks: Gather, clean, and analyse data to enhance our leaderboard analytics platform.
- Company: Fast-growing London-based analytics business redefining performance insights.
- Benefits: £25,000–£28,000 salary, remote work, mentorship, and career growth opportunities.
- Other info: Join a dynamic team and gain practical experience in data analytics.
- Why this job: Kickstart your data science career with real-world impact and innovative projects.
- Qualifications: Degree in Data Science or related field; skills in Python, R, or SQL required.
The predicted salary is between 25000 - 28000 £ per year.
Kickstart your career in data science by joining a team that’s redefining how performance insights are measured and delivered. This London-based analytics business is seeking a Graduate Data Scientist / Junior Analyst to support its leading leaderboard and intelligence platform.
Company overview
This fast-growing insights and analytics organisation delivers data-led solutions that help clients evaluate performance and make informed strategic decisions. Combining technology and analytical expertise, the company’s products are trusted by organisations seeking evidence-based intelligence and benchmarking.
Job overview
As a Graduate Data Scientist / Junior Analyst, you’ll work closely with the analytics and development teams to collect, process and interpret large datasets. You’ll be integral to improving the company’s flagship leaderboard product, helping refine algorithms and provide meaningful insights to clients.
Here's what you'll be doing:
- Gathering, cleaning and analysing data for the leaderboard analytics platform
- Building dashboards, reports and visualisations to communicate key metrics
- Supporting data modelling and performance tracking processes
- Collaborating with developers to enhance the accuracy and usability of analytical outputs
- Researching emerging data science trends and recommending improvements
Here are the skills you'll need:
- Degree in Data Science, Statistics, Computer Science, Economics or related field
- Competence in Python, R or SQL for data manipulation and analysis
- Experience using data visualisation tools (Power BI, Tableau or similar)
- Strong numerical and analytical ability with good attention to detail
- Effective communicator with enthusiasm for data-driven problem-solving
Work permissions:
You must have the right to work in the United Kingdom. Visa sponsorship is not available at this time.
Here are the benefits of this job:
- £25,000–£28,000 pro rata salary (6-month internship with potential to become permanent)
- Remote-first role with one monthly visit to the London office
- Mentorship from experienced data professionals
- Opportunity to work on a high-profile, real-world analytics product
- Career growth potential within data science or analytics consultancy
A role as a Graduate Data Scientist / Junior Analyst offers a strong foundation for a long-term career in data analytics. With demand for data professionals continuing to grow, this opportunity provides practical experience in statistical analysis, product development and data-driven decision-making.
Graduate Data Scientist | Junior Analyst in London employer: The Opportunity Hub UK
Contact Detail:
The Opportunity Hub UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Data Scientist | Junior Analyst in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or at local meetups. Don’t be shy; ask for informational interviews to learn more about their experiences and get insider tips on landing that Graduate Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, whether it's visualisations, dashboards, or analyses. This is your chance to demonstrate your competence in Python, R, or SQL and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process clearly and concisely, as effective communication is key in this field. We want you to shine when discussing how you can contribute to the leaderboard analytics platform!
✨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 and engaged with our company. Let’s kickstart your career together!
We think you need these skills to ace Graduate Data Scientist | Junior Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your degree and any relevant projects or internships that showcase your data science abilities.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Be specific about your experience with Python, R, or SQL, and mention any data visualisation tools you've used.
Showcase Your Analytical Skills: In your application, include examples of how you've gathered, cleaned, and analysed data in the past. We want to see your problem-solving skills in action, so don’t hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at The Opportunity Hub UK
✨Know Your Data Tools
Make sure you brush up on your skills in Python, R, or SQL before the interview. Be ready to discuss how you've used these tools in your studies or projects, as they'll want to see your practical knowledge and problem-solving abilities.
✨Showcase Your Analytical Mindset
Prepare examples of how you've gathered, cleaned, and analysed data in the past. Whether it's a university project or an internship, be ready to explain your thought process and the impact of your findings. This will demonstrate your analytical prowess.
✨Visualisation is Key
Familiarise yourself with data visualisation tools like Power BI or Tableau. Bring along any dashboards or reports you've created to showcase your ability to communicate key metrics effectively. This will highlight your capability to present data in a meaningful way.
✨Stay Updated on Trends
Research current trends in data science and be prepared to discuss them. Showing that you're proactive about learning and can recommend improvements based on emerging trends will impress the interviewers and show your enthusiasm for the field.