Join Nesta to tackle social challenges with innovative data science solutions and help shape a sustainable future.
Overview
£47900 - £64000
Blackfriars, London - Hybrid
Expires at anytime
Organisation summary: Nesta is the UK's innovation powerhouse committed to fostering societal good. We're on a mission to ensure every child gets a fair start, promote healthy lives, and build an economy that's both sustainable and beneficial for all. Join us and contribute to meaningful change on a grand scale.
- Role Summary:
- Lead data science projects supporting Nesta's Healthy Life Mission.
- Utilize a variety of data science techniques, from machine learning to analytics, to address complex policy issues.
- Develop machine learning models and build web applications to create impactful solutions.
- Role Requirements:
- A Bachelor's or Master's degree in a quantitative field or at least three years of relevant experience.
- Proficiency in Python programming.
- Proven ability to use data and evidence for driving positive outcomes and improvements.
- Expertise in data analysis, including machine learning, statistical methods, and causal inference.
- Application Process Details:
- Submit your application by the deadline on Monday, 9th September 2024, 8am.
- Participate in a technical task and subsequent interviews scheduled between 16th September and 11th October.
Enjoy a competitive salary ranging from £47,900 to £64,000 with an extensive benefits package that includes private medical and dental insurance, annual leave trading, eyecare vouchers, and more.
About Nesta We are Nesta, the UK’s innovation agency for social good. We design, test and scale solutions to society’s biggest problems. 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.
The role Nesta’s Data Science Practice is looking for a Data Scientist to lead projects that bring the best approaches from data science and analytics to impact our Healthy Life Mission. Our work is highly varied, and could include training machine learning models, building web applications, or using a range of analytical techniques to answer questions and generate solutions to tough policy challenges.
Job requirements A Bachelor or Masters qualification in a relevant quantitative discipline and relevant experience in academia, industry or public/third sector Or At least three years of relevant experience in academia, industry or public/third sector Plus Experience programming in Python 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: £47,900 - £64,000 plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more.
Applications details To apply for this role, please submit your application before Monday 9th September 2024, 8am. A technical task and interviews will take place during the weeks commencing 16th September to 11th October ; exact dates to be confirmed.