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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.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Analyst, Research, and Information Technology
• Industries: Technology, Information and Media and Financial Services

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