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Machine Learning Data Scientist - London, United Kingdom - Nesta
Description
Shape the Future of Social Good with Your Data Science Expertise at NestaOrganisation summary - Nesta is a beacon of innovation focused on solving societal challenges through creativity and technology.
With a 20-year legacy, Nesta aims to ensure a fair start for every child, promote healthy living, and drive a sustainable economy.
Lead impactful data science projects within Nesta's Data Science Practice.Design and implement creative solutions to advance the Healthy Life Mission.
Utilize your data expertise to influence positive real-world change.
Bachelor or Masters in a quantitative discipline with three years of experience, or five years of relevant experience.
Proficiency in Python, with a working knowledge of R.
Proven track record of using data to drive outcomes and improvements.
Strong analytical skills, including machine learning, statistical methods, and causal inference.
~ Comprehensive benefits package including medical and dental insurance, leave-buying options, and more.
Our three missions are to give every child a fair start, help people live healthy lives, and create a sustainable future where the economy works for both people and the planet.
For over 20 years, we have worked to support, encourage and inspire innovation.The role Nesta's Data Science Practice is looking for a Principal Data Scientist to lead projects that bring the best approaches from data science and analytics to impact our Healthy Life Mission.
This is an opportunity to play a leading role in designing and delivering data science projects.If you have a strong background working with data and are motivated by deploying creative data science solutions, as well as contributing to real-world outcomes for public benefit, then this role is for you.
Job requirements A Bachelor or Masters qualification in a relevant quantitative discipline plus three years of relevant experience in academia, industry or public/third sector Or At least five years of relevant experience in academia, industry or public/third sector Plus Strong experience programming in Python, and a familiarity with using R; Experience using data and evidence to drive better outcomes or business improvement; Strong data analysis skills, which might include machine learning, statistical methods, causal inference or other techniques.
Benefits Salary:
£53, ,000 plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more.