Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform complex data into actionable insights to enhance learning experiences.
- Company: Fast-growing EdTech startup focused on curiosity and collaboration.
- Benefits: Competitive salary, flexible remote work, and a culture that values your contributions.
- Why this job: Make a real impact on education while working in a supportive, innovative environment.
- Qualifications: 3+ years in data analytics, strong SQL and Python skills required.
- Other info: Join a dynamic team with opportunities for growth and experimentation.
The predicted salary is between 36000 - 60000 £ per year.
We’re a fast-growing EdTech startup driven by curiosity, collaboration, and data-informed decision-making. We’re seeking a talented Data Scientist who can turn complex data into actionable insights, help our teams make smarter decisions, and shape how we scale to improve learning worldwide.
What You’ll Do
- Turn user behavior data into meaningful insights that directly impact product and business decisions.
- Design and track metrics that monitor and drive company operations.
- Solve key business questions using data—your analyses will influence strategy across teams.
- Enable product development with data-driven recommendations and A/B testing.
- Build and maintain interactive dashboards for teams across the company.
- Ensure data systems run smoothly and maintain high-quality data pipelines.
- Collaborate with product, sales, and marketing teams to support projects from planning to execution.
As a Data Scientist, your work will help shape how our startup leverages data to make smarter, faster decisions and make learning more engaging for users worldwide.
Must-Have Skills
- 3+ years of experience in data analytics or data engineering roles.
- Excellent SQL skills for querying data and building data models.
- Strong Python skills for analysis, manipulation, and automation.
- Experience working with data pipelines and ETL processes.
- Proficiency in data visualization and creating interactive dashboards.
- Familiarity with Git and version control.
Nice-to-Have
- Cloud experience (AWS preferred).
- Experience with data warehousing and analytical databases (we use Redshift).
- Knowledge of statistical methods, hypothesis testing, and experimental design.
- Experience with orchestration tools (Airflow) and transformation tools (dbt).
- Awareness of data privacy and compliance regulations (e.g., GDPR).
Why Join?
- Make a real impact—your insights and analyses will shape decisions that drive growth.
- Work in a collaborative, curious, and low-hierarchy culture that values experimentation.
- Be part of a fast-growing EdTech company where your contributions are seen, celebrated, and acted on.
Additional Details: Seniority level: Mid-Senior level; Employment type: Full-time; Job function: Data Science; Industries: IT System Data Services, Software Development, and Engineering Services; Glasgow, Scotland, United Kingdom or remote within the UK options may apply; apply to join a dynamic team focused on impactful education technology.
Data Scientist | Positive Impact EdTech Start-up in Scotland employer: Oho Group Ltd
Contact Detail:
Oho Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist | Positive Impact EdTech Start-up in Scotland
✨Tip Number 1
Network like a pro! Reach out to people in the EdTech space, especially those who work at startups. Use LinkedIn to connect and engage with them—ask questions, share insights, and show your passion for data science.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, analyses, and dashboards. This is your chance to demonstrate how you can turn complex data into actionable insights that align with our mission.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with data pipelines and visualisation tools. We want to see how you can contribute to our collaborative culture!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and making a positive impact in EdTech.
We think you need these skills to ace Data Scientist | Positive Impact EdTech Start-up in Scotland
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you can turn complex data into actionable insights, so don’t hold back on showcasing your experience with data analytics and visualisation.
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects where you've influenced strategy or improved processes using data—this will help us see how you fit into our collaborative culture.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your experiences and how they relate to the role of Data Scientist at StudySmarter.
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’re considered for this exciting opportunity to make a positive impact in EdTech!
How to prepare for a job interview at Oho Group Ltd
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and be ready to discuss specific data analyses you've conducted. Be prepared to explain how your insights influenced decisions and what tools you used, especially SQL and Python.
✨Showcase Your Problem-Solving Skills
Think of a few key business questions you've tackled in previous roles. Be ready to walk the interviewer through your thought process, from identifying the problem to the data-driven solutions you proposed. This will demonstrate your analytical mindset.
✨Familiarise Yourself with Their Tech Stack
Research the tools and technologies mentioned in the job description, like AWS, Redshift, and Airflow. If you have experience with these, highlight it! If not, show your willingness to learn and adapt quickly.
✨Prepare Questions That Matter
Interviews are a two-way street. Prepare thoughtful questions about their data strategy, team collaboration, and how they measure success. This shows your genuine interest in the role and helps you assess if it's the right fit for you.