Graduate Data Scientist
📍 Location: London, UK (Hybrid Working)
💰 Salary: £35,000 - £45,000
Are you a recent STEM graduate with strong analytical skills and a passion for data science? We are looking for a Junior Data Scientist to join our clients London-based team, where you will work on complex datasets, develop predictive models, and contribute to data-driven decision-making across the business.
Key Responsibilities
- Data Analysis & Modelling: Work with large datasets to identify patterns, build machine learning models, and support business strategy.
- Algorithm Development: Develop and optimise algorithms to enhance operational efficiency and decision-making.
- Collaboration: Work closely with teams across product, operations, and technology to integrate data-driven insights.
- Data Visualisation: Create dashboards and reports to communicate findings to both technical and non-technical stakeholders.
- Research & Innovation: Stay up to date with the latest developments in data science, AI, and machine learning.
Skills & Experience Required
- A STEM degree (e.g. Mathematics, Statistics, Computer Science, Engineering) from a Russell Group university.
- Proficiency in Python and SQL for data manipulation, analysis, and model development.
- A strong understanding of machine learning concepts, including supervised and unsupervised learning techniques.
- Experience with data visualisation tools such as Tableau or Power BI.
- Strong analytical and problem-solving skills, with the ability to communicate complex findings clearly.
Desirable Skills
- Knowledge of advanced machine learning techniques, including NLP, large language models (LLMs), or time series forecasting.
- Experience working with AI concepts and libraries such as Pandas, NumPy, TensorFlow, or PyTorch.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Understanding of computer vision and deep learning techniques.
What's on offer
- Professional Development: Clear career progression with opportunities to develop expertise in data science and machine learning.
- Innovative Work Environment: A collaborative team working on cutting-edge data science projects.
- Technical Resources: Access to industry-leading tools and platforms.
- Flexible Working: Hybrid working model with a London-based office.
To apply, please submit your CV. Successful candidates will be contacted to discuss the next steps.
