Junior Data Scientist in Portsmouth

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