Are you a recent Computer Science, Data Science or AI graduate with a 2:1 or above? Do you enjoy solving real-world problems using data, machine learning, and a bit of creative thinking? Ready to build models that actually get used, not just sit on a shelf? Location: West Malling, Kent (Office-based) Salary: £25,000 - £30,000 This is a fantastic opportunity for a graduate who is passionate about data and wants to be hands-on from day one. You will be joining a growing analytics team at a well-established and respected financial services firm with over 25 years of industry expertise. The role is ideal for someone who is proactive, curious, and ready to take ownership of how data science is applied within the business. You’ll be encouraged to bring your ideas to the table, use your initiative to explore problems, and have the freedom to decide how best to model and solve them. What you will be doing: Building clean, robust data pipelines to feed into wider analytics and machine learning models Developing and testing machine learning algorithms to support real business decisions Working closely with analysts and other team members on ad-hoc requests and data investigations Exploring how AI can improve business efficiency and turning ideas into working solutions Presenting your findings in a clear, structured way for both technical and non-technical audiences What we are looking for: A degree (2:1 or above) in Computer Science, Data Science, AI or similar Solid grounding in statistics – understanding of Bayesian and frequentist approaches, distributions, etc. Knowledge of core ML techniques like linear/logistic regression, random forests, time series models, etc. Familiarity with SQL and Python Bonus points if you have explored prompt engineering or large language models A self-starter with strong attention to detail, excellent communication skills, and a team mindset Why this role? You will not be boxed in or micromanaged – if you like learning, problem-solving, and making data useful, this will be a great environment to grow. The business is supportive, collaborative, and values people who are keen to make a difference through data. If that sounds like you, I’d love to hear from you.