Junior Data Scientist â Masterâs Graduate RoleLocation: London (Hybrid)Salary: ÂŁ40,000 â ÂŁ45,000 + Bonus + BenefitsStart Date: ASAPAbout 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 Masterâs graduate eager to apply their academic expertise to solving real-world challengesâwhether itâs predicting customer behaviour, optimising operations, or identifying patterns in complex datasets.Youâll 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 Youâll Be Doing:Designing and building machine learning models to solve real-world problemsCarrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deploymentApplying statistical and AI techniques to generate actionable insightsContributing to experimental research, model prototyping, and A/B testingPresenting findings clearly to both technical and non-technical stakeholdersCollaborating across data science, engineering, and product teams to build scalable solutionsStaying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussionsWhat Weâre Looking For:A recently completed Masterâs degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related disciplineStrong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcomeA solid understanding of core machine learning concepts, data wrangling, and model evaluationProficiency with SQL and experience handling large datasetsA passion for solving complex problems using data and a continuous learning mindsetExcellent communication and collaboration skillsFull right to work in the UK (we are unable to offer visa sponsorship for this role)Desirable (Not Essential):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 publishingUnderstanding of MLOps, version control (Git), or containerisation (e.g. Docker)Benefits:đ° Competitive Salary & Bonus: ÂŁ40,000 â ÂŁ45,000 plus bonusđĄ Hybrid Working: A flexible mix of office and remote workđ Career Growth: Structured professional development, mentorship, and training opportunitiesđ Modern Tech Stack: Work with the latest tools in data science, AI, and analyticsđ¤ Collaborative Culture: Be part of a supportive and innovative team⨠Additional Perks: Pension scheme, private healthcare, and wellbeing initiativesHow 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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