Graduate Data Scientist

Talent Guardian are working with a well-established business based near Maidstone to offer a fantastic opportunity for a highly motivated Graduate Data Scientist to join their growing data and analytics team. This role is perfect for a recent graduate (2:1 or above in Computer Science, Data Science, AI, or a related field) who has a passion for machine learning and artificial intelligence.
 
You’ll have the chance to apply the skills you’ve gained during your studies to develop advanced models and data solutions that directly influence business decisions. The position offers flexibility and autonomy — you’ll be encouraged to use your research, initiative, and expertise to design innovative approaches and solve complex problems.
 
Key Responsibilities

Build clean, robust, and scalable data pipelines in collaboration with the data team.
Develop and test machine learning models that support and enhance business operations.
Identify and explore how AI can be used to improve efficiency and drive innovation.
Assist with ad-hoc data requests and collaborate with analysts to meet business needs.
Present data insights and model outputs clearly for senior management and non-technical stakeholders. What We’re Looking For

A 2:1 or higher degree in Computer Science, Data Science, AI, or a related discipline.
Strong numerical and statistical knowledge (e.g. Bayesian/frequentist methods, probability distributions).
Solid understanding of machine learning algorithms (e.g. linear/logistic regression, random forests, neural networks, time series models).
Experience with multiple programming languages — with Python and SQL preferred.
Interest or familiarity with large language models and prompt engineering (desirable).
A proactive, self-motivated, and solution-focused approach with strong attention to detail.
Excellent communication skills, able to explain technical concepts clearly to non-technical audiences.
A collaborative and positive team player, keen to produce high-quality work. What’s on Offer

£30,000 starting salary
Flexible hybrid working
Opportunity to work on meaningful, high-impact projects
Support for professional growth and development Apply today