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Nesta’s Fairer Start Mission is looking for a Data Scientist to lead projects that bring the best approaches from data science and analytics to impact our mission goal. 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. In the early years, this often means extracting insights from unstructured reports, administrative data, and complex research projects, and turning them into actionable insights for policy makers, local authorities, and individuals. This is an opportunity to play a role in 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 Responsibility:
Deliver analytical components of projects that advance the A Fairer Start mission, ranging from research and analysis to machine learning modeling
Build pipelines, clean and analyse datasets using appropriate tools and methods, from wrapping APIs to scraping unstructured data
Develop clear and informative data visualisations and outputs
Design and scope projects in collaboration with technical colleagues, domain experts and practitioners from other disciplines
Communicate outputs of your work to a wide range of internal and external audiences
Work in a multidisciplinary team, collaborating with designers, behavioural scientists and researchers
ensure that all quantitative analysis work is reproducible, sustainable, and ethically considered
help the team stay at the cutting edge by keeping abreast of new techniques and developments in the field and seeking ways to use them
Requirements:
Experience programming in Python
Experience using data and evidence to drive policy development or decision making
Strong data analysis skills, which might include machine learning, statistical methods, causal inference or other techniques
Ability to scope and prioritise research questions to maximise impact, balancing methodological rigour with practical resource limitations
Willingness to be an active team member who collaborates with others and contributes to strengthening team connections
Ability to apply data science approaches that will solve problems and answer questions
Ability to communicate with technical and non-technical stakeholders, with evidence of clear and structured written outputs such as blogs, reports or papers
Experience of working in multi-disciplinary teams making use of mixed research or innovation methods
Experience using Git and GitHub (or equivalent) for version control
Nice to have:
A Bachelor or Masters qualification in a relevant quantitative discipline and relevant experience in academia, industry or public/third sector
Knowledge of early childhood development or UK early years policy
A degree of experience of data engineering methods such as scalable data collection (e.g. APIs, web-scraping), data pipeline technologies (e.g. Airflow, Luigi, Metaflow) or database management systems (SQL or NoSQL)
Experience of working in a policy context for a consultancy, think tank or other fast paced research environment