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- Tasks: Collect, process, and interpret large datasets to improve analytics products.
- 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: Dynamic role with potential for permanent position and professional development.
- Why this job: Kickstart your data science career and make a real impact on client decisions.
- Qualifications: Degree in relevant field and skills in Python, R, or SQL.
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.
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.
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.
- 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
- Researching emerging data science trends and recommending improvements
Requirements:
- 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)
- Effective communicator with enthusiasm for data-driven problem-solving
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. 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 City of 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 City of London
✨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 important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or SQL. We recommend using platforms like GitHub to share your work; it’s a great way to demonstrate your capabilities to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. We suggest practising with friends or mentors to build confidence. Remember, it’s not just about what you know, but how you communicate your thought process!
✨Tip Number 4
Apply through our website! We’re always on the lookout for fresh talent, and applying directly can give you an edge. Plus, it shows your enthusiasm for joining our team and contributing to our innovative projects.
We think you need these skills to ace Graduate Data Scientist | Junior Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Graduate Data Scientist / Junior Analyst role. Highlight your competence in Python, R, or SQL, and any experience with data visualisation tools like Power BI or Tableau.
Craft a Compelling Cover Letter: Use your cover letter to showcase your enthusiasm for data-driven problem-solving. Share specific examples of how you've gathered, cleaned, or analysed data in the past, and explain why you're excited about this opportunity at StudySmarter.
Showcase Your Analytical Skills: In your application, demonstrate your analytical mindset. Discuss any projects or coursework where you’ve interpreted large datasets or built dashboards and reports. This will show us you’re ready to contribute to our leaderboard analytics platform.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates regarding the role!
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, and SQL before the interview. Be ready to discuss how you've used these tools in your studies or any projects. It’s a great way to show your practical knowledge and enthusiasm for data manipulation.
✨Showcase Your Analytical Mindset
Prepare examples of how you've gathered, cleaned, and analysed data in the past. Whether it was during your degree or in a personal project, being able to articulate your thought process will impress the interviewers and demonstrate your problem-solving skills.
✨Visualisation is Key
Familiarise yourself with data visualisation tools like Power BI or Tableau. Bring along examples of dashboards or reports you've created, and be ready to explain how they helped communicate key metrics. This shows you can turn data into actionable insights.
✨Stay Updated on Trends
Research current trends in data science and be prepared to discuss them. Mention any emerging technologies or methodologies that excite you and how they could benefit the company. This demonstrates your passion for the field and your commitment to continuous learning.