Data Scientist

National Centre for Social Research; London; Hybrid; GBP 32,000 - 45,000; Full time

Job summary

A major independent research organisation in London is seeking a Data Scientist to utilize advanced data science techniques to solve complex societal challenges. The role includes opportunities for hybrid working, collaborative research, and competitive salary ranging from GBP 32,000 to GBP 44,500. Candidates should have a strong background in machine learning and statistics, with proficiency in Python and experience in data analysis.

Benefits

25 days holiday plus bank holidays

Generous pension scheme

Life insurance and health cash plan

Career development and mentoring support

Qualifications

• Master's in a relevant field or equivalent experience.
• Experience with clustering, predictive modelling, and NLP techniques.
• Familiarity with coding best practices and version control.

Responsibilities

• Utilising data science techniques to address societal challenges.
• Generating insights for government and non-profit projects.
• Producing technical reports and working with complex survey data.

Skills

Exploratory data analysis

Inferential statistics

Machine learning

Natural Language Processing (NLP)

Predictive modelling

Proficiency in Python

Education

Master's in Data Science or relevant field

Tools

Scikit-learn

spaCy

Job description

Data Scientist

Application Deadline: 5 September 2025

Department: Innovation & Methods

Employment Type: Full Time

Location: London, UK

Compensation: GBP 32,000 - GBP 44,500 / year

Description

Role: Data Scientist
Location: London (Hybrid Working)
Salary: GBP 32,000-GBP 44,500
Department: Innovation & Methods
Contract: 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 modelling
• Integration of generative AI and LLMs in qualitative and survey research processes
• Inferences 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 NatCen

Business 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 Expertise

• Master'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 documentation
• Excellent 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 & 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 working
• Generous company pension scheme
• Life insurance and health cash plan
• Cycle to Work scheme and season ticket loan
• Career development, professional subscriptions support and mentoring support from industry-leading experts.