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Faculty is a pioneering organization that harnesses the power of artificial intelligence to drive business transformation. Our mission is to empower organizations to unlock the full potential of AI, ensuring safe and impactful deployment. With a strong foundation in data science and machine learning, we provide cutting-edge software and bespoke consultancy services to retail, healthcare, energy, and governmental sectors. Our expertise has earned us recognition as a trusted partner, with OpenAI collaborating with us to deploy generative AI safely.
About the FellowshipThe Faculty Fellowship program is a unique opportunity for PhD graduates, post-doctoral researchers, and experienced software engineers to transition into a career in data science. Our two-week intensive training program equips fellows with the skills to apply their technical knowledge in real-world scenarios. Following the training, fellows are paired with project companies for a seven-week data science project, where they are paid the London Living Wage. This program offers a chance to network with influential individuals from various businesses and gain valuable experience in data science.
RequirementsTo be eligible for the fellowship, you must have the right to work full-time in the UK. Unfortunately, we cannot sponsor this role, so please only apply if you have the right to work in the UK full-time. You should have a finished PhD or Master's in a STEM subject with some data science/machine learning experience. Additionally, you should be able to code or have programming experience, especially in Python. Experience with theoretical concepts of statistical learning and coding libraries frequently used in data science is also required. The coding test will take place at the end of October/beginning of November 2025, and the program runs from Monday 3rd February to Friday 4th April 2025. Faculty does not provide accommodation, but you are welcome to join our free online community after the program. We provide career support to the graduated fellows, helping them succeed in their data science careers.
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