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