Data Scientist

Data Scientist
Application Deadline:
5 September 2025
Department:
Innovation and Methods
Employment Type:
Full Time
Location:
London, UK
Compensation:
GBP 32,000 - GBP 44,500 / year
Description
Role:
Data ScientistLocation:
London (Hybrid Working)Salary:
GBP 32,000-GBP 44,500Department:
Innovation and MethodsContract:
Permanent
As a Data Scientist here at National Centre for Social Research (NatCen), you will play a pivotal role in utilising data science techniques to address complex societal challenges. The successful candidate will support on interdisciplinary research projects for government departments, foundations, and non-profit groups, designing and delivering research that sheds new light on complex policy issues. You will leverage your expertise in statistics and machine learning to generate new evidence on issues including education, employment, equality, social care, and crime prevention.
Key Responsibilities
Research:This role will enable you to further build your knowledge and experience in exploratory data analysis, inferential statistics, and machine learning, including:Clustering techniques (e.g., k-medoids, hierarchical clustering)Predictive modelling (e.g. Classification and Regression Trees (CART), Linear Regression, Random Forest, Gradient Boosted Models)Natural Language Processing (NLP) with a focus on social listening and topic modellingIntegration of generative AI and LLMs in qualitative and survey research processesInferences about subpopulations (Small Area Estimation (SAE), Multilevel Regression and Poststratification (MRP)You will produce technical reports and sections of high-profile policy reports to be published by NatCen, government departments and agencies, and other clients and partners.You will primarily work with survey data with complex survey weights and administrative data, with the opportunity to also work with social data and GIS data.You will work closely with subject matter experts on policy but will be expected to quickly gain a basic understanding of new policy issues.You will combine advanced data science techniques (machine learning, NLP, data engineering) with robust quantitative research methods (survey analysis, causal inference, MRP) to produce insights that directly inform social policy.Leadership:You will be joining Britain''s largest independent social research organisation, championing the use of data science to generate insights that help make life better.You will join a growing team, where you will share research approaches, fostering a collaborative and innovative work environment.You will have opportunities to feed into the future direction of data science and analysis at NatCenBusiness Development:The role will involve direct contact with clients and collaborators, where you will be advising on analytical methods.You will collaborate with colleagues across specialisms to design research proposals for clients. There is some scope to also pursue and deliver work supported by academic funding.Skills, Knowledge and ExpertiseMaster''s in a relevant field (Data Science, Computer Science, Statistics, etc.) or demonstrated experience through professional development, other learning, or Bachelor''s degree with additional equivalent experience.Experience with practical application of clustering, predictive modelling, and NLP techniques, with familiarity with at least one major machine learning library (eg. Scikit-learn, statsmodels, spaCy, mlr).Proficiency in Python; knowledge of R or SQL is a plus.Familiarity with coding best practices, such as version control, functional code, and documentationExcellent communication, presentation, and report-writing skills.Ability to work collaboratively in a multidisciplinary team.A passion for contributing to policy solutions in areas such as education, employment, equality, social care, crime and justice.Benefits
As well as a competitive salary, an excellent working environment (including a home/office hybrid working environment), you will be working for the largest independent social research organisation in the UK. We are proud of the benefits we offer our employees which include:25 days holiday (plus 8 bank holidays) and flexible workingGenerous company pension schemeLife insurance and health cash planCycle to Work scheme and season ticket loanCareer development, professional subscriptions support and mentoring support from industry-leading experts.
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