Research Officer

Campaign Lab
London
3 months ago
Applications closed

Related Jobs

View all jobs

Intelligence Officer

Senior Systems Development Officer

Policy Analyst

Chief Data Scientist

Improvement and Complaints Standards Manager

Business Applications Analyst & Project Manager

Overview

Location: London/Remote and home working options (expected to work in London at least 8 days per month)

Contract: Until 1st January 2026

Hours: Full time with some evening and weekend work

Salary: £30,000 - £35,000 pro rata

Application Deadline: 17th January

Who we are

Campaign Lab is a community of politically-minded progressive data scientists, researchers and campaigners working together to improve the way we analyse and understand campaigning. You'll be helping to improve campaigning across the progressive ecosystem as part of a small dynamic team. You can find more information atwww.campaignlab.uk

What the role involves

In this role, you'll work under the Research Programme Manager and alongside our analyst  to implement and support a programme of testing and research focused on campaign innovation, conducting statistical analysis and managing data collection for various campaign experiments.

Main Duties & Responsibilities

  • Support the Research Programme Manager in designing and implementing research studies, including field experiments, quasi-experiments, pilots and descriptive studies.
  • Conduct quantitative and qualitative data analysis using statistical software packages
  • Design survey instruments and data collection tools for campaign research
  • Perform literature reviews and environmental scans of relevant campaign tactics and methodologies
  • Assist in writing research reports and presenting findings to stakeholders
  • Help maintain research databases and ensure data quality
  • Support the management of research partnerships and stakeholder relationships
  • Contribute to the development of research protocols and methodologies

Requirements

Key Skills and Qualities

If you don't have all the experience and skills listed below, please still consider applying. We don't expect a candidate to have 100% of these, but we do want to know that you have relevant experience and an appetite to learn in other areas.

  • Research Methods Knowledge: Strong understanding of experimental and quasi-experimental research designs, statistical methods, and research ethics in political science
  • Data Analysis Skills: Proficiency in statistical software (e.g., R, Python) and experience with quantitative data analysis
  • Statistical Expertise: Knowledge of statistical techniques including regression analysis, causal inference, and basic data science methods such as quantitative text analysis
  • Project Management:  Ability to manage multiple research projects simultaneously while maintaining attention to detail
  • Communication Skills: Excellent written and verbal communication skills, with the ability to present complex findings clearly
  • Technical Proficiency: Experience with data visualisation tools, survey platforms, cloud computing, github and working on remote servers.
  • Collaborative Approach: Strong team player with the ability to work effectively with diverse stakeholders
  • Academic Background: Undergraduate degree in Political Science, Statistics, Social Science, or related field which included a quantitative research design module, statistics or econometrics course.
  • Political Understanding: Knowledge of UK political landscape and campaign environments
  • Commitment to Progressive Values:  A passion for progressive causes and evidence-based campaigning

Benefits

What we offer

  • Agile working:  This means you will have the flexibility to work in different locations, including from home up to 3 days a week and from a co-working space.
  • Flexible Working: our Flexible Working Policy allows requests to work flexibly from the start of your employment, though some weeks will require evening and some weekend work.
  • A contributory Pension Scheme.
  • An initial Annual Leave allowance of 28 days holiday, plus bank holidays and other statutory holidays.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.