Data Scientist Junior jobs in United Kingdom

Location: London (3 days per week in office, rest remote)

Salary: £35,000 – £45,000 DOE

We are looking for a Junior Data Scientist to join a growing analytics team working on data-driven decision-making and applied statistical modelling. This role is ideal for someone with a strong academic or early-career foundation in data analysis who is keen to apply their skills to real-world business problems, working with structured data, modern analytics tools, and stakeholders across the organisation.

You’ll play a key role in analysing datasets, building predictive and descriptive models, and supporting data-led initiatives, while receiving mentorship and support to grow into a more specialised data science role.

• Analyse and interpret large datasets to uncover trends, patterns, and actionable insights.
• Clean, preprocess, and transform data from multiple sources (CSV, Excel, SQL databases, APIs).
• Build and evaluate statistical models and machine learning algorithms for forecasting, classification, and segmentation.
• Create clear visualisations and dashboards to communicate findings to technical and non-technical audiences.
• Support the development of end-to-end data pipelines, ensuring data quality and reproducibility.
• Collaborate with product, engineering, and business teams to translate analytical results into practical outcomes.
• Document methodologies, assumptions, and results to ensure knowledge sharing and transparency.

• A Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.
• Strong proficiency in Python and common data analysis libraries (e.g., Pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
• Solid understanding of statistics, exploratory data analysis, and basic machine learning techniques.
• Experience working with SQL and relational databases.
• Ability to communicate insights clearly, both in writing and verbally.
• Familiarity with version control and collaborative workflows (e.g., Git).

• Experience with data visualisation or BI tools (e.g., Tableau, Power BI, Looker).
• Exposure to cloud-based data platforms or analytics tools (AWS, GCP, Azure).
• Basic knowledge of experiment design and A/B testing.
• Interest in applying data science to domains such as marketing, finance, operations, or customer analytics.

This is a fantastic opportunity for a motivated early-career data scientist who wants to build a strong foundation in applied data science, contribute to meaningful projects, and grow within a collaborative, forward-thinking environment.