Hacking for Health - UK Summer Bootcamp
Palantir Technologies - London, United Kingdom
Posted May 13, 2022
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Hacking for Health - UK Summer Bootcamp London, United Kingdom Hack to prevent a global pandemic and explore the possibilities of a career in tech at Palantir! We are now accepting applications for our Summer 2026 bootcamp aimed at students finishing their A Level or equivalent studies in the summer of 2027. Apply before Friday 19th June. A potential pandemic looms as lesser-known diseases threaten global health. Determined to avert disaster, the Global Pandemic Prevention Initiative (GPPI) is racing to immunise large populations against these emerging threats. How can they ensure adequate vaccine stock, manage distribution costs, and prioritise the right diseases to vaccinate against? That's where you come in. Over four days at Palantir, you will use your problem-solving and data skills to devise a solution to this notional scenario. Armed with cutting-edge technology, and helped by our own engineers, you will develop a solution to a problem that has challenged countries across the globe. The Solving Problems with Data Summer Bootcamp is a four-day insight into the world of tech. You'll get a crash course in the fundamentals of solving problems with data, where we'll teach you how to break down complex real world problems and build data-driven solutions using Palantir Foundry. You'll gain a deeper understanding of the career opportunities available in technology, as well as introductions to skills that you can take forward into your studies and career, such as working with data, Python, TypeScript, and using AI to solve real-world problems. In addition to hands-on
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