Data Scientist Apprentice
1 month ago
We are seeking a talented Data Scientist Apprentice to join our Data and Analytics Transformation (DAT) directorate at the Bank of England. As a key member of our team, you will play a crucial role in helping us make the best use of data and analytics for policy decisions and financial regulations.
Key Responsibilities- Lead and/or support the delivery of data science projects, including research projects, as the technical expert and oversee the project plan and team deliverables.
- Develop and implement data science techniques to answer real-world questions and provide valuable insights to the Bank.
- Collaborate with business areas across the Bank to design and implement data science solutions using a combination of strategic analytical tools and new and established analytical techniques.
- Present and support the prioritisation of project proposals and communicate the outcomes and findings from projects to a wide audience, including senior levels of the Bank.
- Engage with the wider Data & Analytics community (internal and external) to share ideas, techniques, and experiences, and work to propagate data science skills across the Bank.
- Proficiency in Python and/or R to deliver data science projects.
- Interest in data science techniques and both passion and perseverance to use them to answer real-world questions.
- Knowledge of how to maintain data, tools, and processes to generate reproducible analysis and implement robust and valuable data solutions.
- Proficiency in data visualisation tools (e.g. Tableau, Power BI) and presenting data effectively.
- Understanding of software development best practices, including unit testing, along with familiarity with CI/CD processes.
- A competitive salary and benefits package, including a non-contributory, career average pension and discretionary performance award.
- The opportunity to work on high-profile projects and contribute to the Bank's Data and Analytics strategy.
- A collaborative and dynamic work environment with a diverse team of professionals.
- The chance to develop your skills and knowledge in data science and analytics.
Please apply online, ensuring that you complete your work history and answer ALL the application questions fully and in detail. We welcome applications from individuals who work flexibly, including job shares and part-time working patterns.
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