Job Title
Junior Data Scientist
Function: Department
Marketing / Digital
Location
Milton Keynes / Manchester (Remote)
Reporting to
None
Job Purpose
To support the organisation’s data‑driven decision‑making by analysing complex datasets, building predictive models and generating actionable insights. Work closely with senior data scientists and business stakeholders to ensure insights enable decisions that optimise processes, improve customer experiences and contribute to commercial growth.
Key Responsibilities
* Assist in collecting, cleaning and preparing data from various sources for analysis and modelling.
* Work on well‑defined data science problems with clear success criteria.
* Build, test and deploy basic predictive models under senior guidance.
* Support development of dashboards and automated reports for business stakeholders.
* Contribute to A/B testing and experimentation to improve product features and customer journeys.
* Collaborate with cross‑functional teams (analytics, marketing, product, operations) to understand requirements and deliver data solutions.
* Present findings and insights clearly to both technical and non‑technical audiences.
* Continuously learn new tools, techniques and best practices in data science and analytics.
Strategic Responsibility
The Junior Data Scientist supports the development and implementation of analytical solutions, providing valuable input through data exploration, model building and insight generation that inform strategic decisions.
Business Knowledge
Works with stakeholders to identify business problems, build data‑science solutions and identify value metrics that drive adoption.
Problem Solving
Regularly tackles data‑related challenges, using logical reasoning and statistical techniques, and experiments with modelling approaches to improve solution accuracy.
Decision Making
Makes decisions within defined procedures and guidelines, such as selecting appropriate data cleaning methods or basic modelling techniques, and escalates complex decisions to senior data scientists or managers.
Communication
Communicates findings and technical concepts clearly to team members and stakeholders, prepares visualisations and reports accessible to non‑technical audiences, listens actively and adapts communication style as needed.
Innovation
Contributes ideas for improving data processes, reporting and modelling approaches, keeps up to date with emerging tools and techniques, and participates in brainstorming sessions to drive continuous improvement.
Qualifications
* Education: A degree in a quantitative field such as Mathematics, Statistics, Computer Science or Engineering is preferred. Certifications in data science, analytics or programming languages (Python, R) are advantageous but not essential.
* Knowledge: Understanding of statistical concepts and data analysis techniques; familiarity with data manipulation and visualisation tools (Python, R, SQL, Excel, Tableau); awareness of machine learning fundamentals and common algorithms; knowledge of data governance and privacy standards (GDPR).
* Skills/Abilities: Analytical thinking and problem‑solving; ability to work with large datasets and perform data cleaning and transformation; programming skills in Python or R; experience with data visualisation tools (Tableau, Power BI, Matplotlib); strong attention to detail and accuracy; willingness to learn and adapt to new technologies; effective communication and presentation skills; ability to work collaboratively in a team environment; time management and organisational skills.
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