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- Tasks: Turn data into insights and tackle real-world challenges with a dynamic team.
- Company: Join a supportive, collaborative team in a fully remote environment.
- Benefits: Enjoy competitive salary, flexible hours, and ongoing professional development.
- Other info: Great opportunity for growth and learning in the data science field.
- Why this job: Make an impact by using data to drive decisions and solutions.
- Qualifications: Bachelor's degree in a related field and basic data analysis experience.
The predicted salary is between 28800 - 48000 £ per year.
Location: Remote (UK-based candidates preferred)
Employment Type: Full-time
Experience Level: Junior / Entry-Level
About the Role
We’re seeking a motivated Junior Data Scientist who’s eager to turn data into meaningful insights and grow in a dynamic, collaborative environment. This fully remote role is open to candidates based in the UK. You’ll work alongside senior data scientists, analysts, and business stakeholders to help tackle real-world challenges through data-driven solutions.
Key Responsibilities
- Assist with collecting, cleaning, and preparing both structured and unstructured data
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and insights
- Build, test, and evaluate basic statistical and machine learning models
- Develop dashboards, visualisations, and reports to clearly communicate findings
- Support data-driven decision-making across multiple teams
- Document processes, methodologies, and results in a clear and organised manner
- Continuously learn and apply new data science tools, techniques, and best practices
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
- 0–1 years of experience in data analysis or data science (internships included)
- Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R
- Basic understanding of statistical analysis and machine learning concepts
- Experience working with SQL and relational databases
- Familiarity with data visualisation tools such as Matplotlib, Seaborn, Power BI, or Tableau
- Strong analytical and problem-solving skills with great attention to detail
- Good communication skills and the ability to work effectively in a remote setup
Nice to Have
- Experience with cloud platforms (AWS, Azure, or GCP)
- Exposure to big data technologies (Spark, Hadoop)
- Familiarity with version control tools (Git)
- Personal projects, a GitHub portfolio, or Kaggle experience
What We Offer
- Fully remote work within the UK
- Competitive salary aligned with experience
- Flexible working hours
- Ongoing learning and professional development opportunities
- A supportive and collaborative team culture
Junior Data Scientist in Devon employer: Why Hiring
Contact Detail:
Why Hiring Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist in Devon
✨Tip Number 1
Network like a pro! Reach out to professionals in the data science field on LinkedIn or join relevant online communities. Engaging with others can lead to valuable connections and even job referrals.
✨Tip Number 2
Show off your skills! Create a GitHub portfolio showcasing your projects, especially those involving Python, SQL, or data visualisation tools. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating interviews with friends or using online platforms to boost your confidence and refine your answers.
✨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 genuinely interested in joining our team.
We think you need these skills to ace Junior Data Scientist in Devon
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that match the Junior Data Scientist role. We want to see how your background in data science, programming, and analysis fits with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. We love seeing genuine enthusiasm and a bit of personality!
Showcase Your Projects: If you’ve worked on any personal projects or have a GitHub portfolio, don’t forget to mention them! We’re keen to see your practical experience and how you apply your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Why Hiring
✨Know Your Data Tools
Make sure you brush up on your Python or R skills, especially with libraries like Pandas and NumPy. Be ready to discuss how you've used these tools in any projects or internships, as this will show your practical understanding of data manipulation.
✨Showcase Your Analytical Skills
Prepare to talk about any exploratory data analysis (EDA) you've done. Bring examples of trends or patterns you've identified in past projects, and be ready to explain how you approached the analysis and what insights you derived from it.
✨Communicate Clearly
Since this role involves working with various teams, practice explaining complex data concepts in simple terms. You might be asked to present findings or discuss methodologies, so being able to communicate effectively is key.
✨Demonstrate Continuous Learning
Show your enthusiasm for learning new tools and techniques. Mention any online courses, personal projects, or contributions to platforms like GitHub or Kaggle. This will highlight your commitment to growing in the field of data science.