Graduate Trainee - Data Science
Role Overview
Data Science Graduate Trainee role in the United Kingdom.
The 12-month programme develops technical expertise through work alongside experienced professionals and on real business projects.
The programme aims to develop future data science experts.
Key Skills for This Role
Full Job Posting
Graduate programme
Data Science Graduate Trainee role in the United Kingdom.
The 12-month programme develops technical expertise through work alongside experienced professionals and on real business projects.
The programme aims to develop future data science experts.
Work arrangement
- Hybrid arrangement: work from home some of the time and regularly attend an office or hub to collaborate.
- Normal working days must be carried out in the United Kingdom.
Graduate journey
- Work on complex business problems, including in areas such as Economic Crime or Climate, and explore data science applications across customer franchises.
- Develop models using cloud technology, generative AI, and machine-learning frameworks; learn the lifecycle from ideation through deployment, monitoring, and improvement.
- Analyse large, complex datasets using statistical analysis, machine learning, and data visualisation to inform decisions.
- Collaborate with engineers, analysts, and cross-functional teams to translate technical findings into business outcomes.
- Explore data privacy, responsible AI, and ethical considerations.
Entry requirements
- Have, or be on course to achieve, a 2:1 degree in a STEM subject.
- Show a genuine passion for data science, AI, and helping customers.
- Bring good problem-solving skills and an analytical approach.
- Be comfortable with ambiguity and championing change and innovation; be resilient, curious, and inquisitive.
Pay
- Starting salary of £52,000; the description does not specify a pay cadence.
Programme benefits
- Flexible benefits package, learning from industry experts, access to data pathways, and opportunities to grow technical capability and a professional network.
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