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Junior Data Scientist – Master’s Graduate Role
Location: London (Hybrid)
Start Date: ASAP
About the Opportunity:
We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI.
This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets.
You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries.
What You’ll Be Doing:
* Designing and building machine learning models to solve real-world problems
* Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment
* Applying statistical and AI techniques to generate actionable insights
* Contributing to experimental research, model prototyping, and A/B testing
* Presenting findings clearly to both technical and non-technical stakeholders
* Collaborating across data science, engineering, and product teams to build scalable solutions
* Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions
What We’re Looking For:
* A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline
* Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome
* A solid understanding of core machine learning concepts, data wrangling, and model evaluation
* Proficiency with SQL and experience handling large datasets
* A passion for solving complex problems using data and a continuous learning mindset
* Excellent communication and collaboration skills
* Full right to work in the UK (we are unable to offer visa sponsorship for this role)
* Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch)
* Exposure to cloud platforms (AWS, GCP, or Azure)
* Experience with experimental design, research methods, or academic publishing
* Understanding of MLOps, version control (Git), or containerisation (e.g. Docker)
? Hybrid Working: A flexible mix of office and remote work
? Career Growth: Structured professional development, mentorship, and training opportunities
? Modern Tech Stack: Work with the latest tools in data science, AI, and analytics
? Collaborative Culture: Be part of a supportive and innovative team
Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives
How to Apply:
Please apply with your most up-to-date CV and we will be in touch ASAP to arrange an initial call.
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