National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Scientist

Focaldata Ltd
London
2 weeks ago
Create job alert

About us

We at Focaldata are on a mission to close the "understanding gap" between what organisations believe about people and reality. By leveraging AI, we provide deeper, more accurate insights at a fraction of the cost and time of traditional methods.

We have built an amazing team of research industry expert and great engineers to reimagine what is possible in research. We do impactful work with amazing organisations ranging from well-known brands to life-changing non-profits. Join us!



About the role


As a Senior Data Scientist you will be instrumental in shaping the technical backbone of the analytics function at Focaldata. In this role, you"ll develop advanced R tools and scalable solutions to support research and analytics teams, while leading the implementation of cutting-edge modelling techniques. You"ll collaborate on diverse projects, enhance our analytics infrastructure, and mentor team members in best practices. If you"re passionate about data science, skilled in R, and eager to make an impact in public opinion and research, we'd love to hear from you.

What you"ll do


This is a key role in shaping the technical backbone of the analytics function at Focaldata. Your areas of focus will be:

  • Build internal R packages to automate and standardise core tasks like weighting, modelling, and charting.
  • Develop scalable tooling to support our research and analytics teams—from data pipelines to custom dashboards.
  • Lead the development and deployment of advanced modelling techniques (e.g. multilevel regression, segmentation, random forest models, text analysis).
  • Collaborate with the wider team on bespoke research and client projects, offering analytical expertise where needed.
  • Help shape our codebase and analytics infrastructure to ensure high standards of reproducibility, clarity, and documentation.
  • Mentor team members in best practices in R development.
  • Support innovation within the team by experimenting with and rolling out new methods and techniques.
  • Work closely with researchers and engineers to ensure our models and tools integrate smoothly into workflows.

Who you are (skills and experience)

  • 3+ years of experience in data science, ideally in a public opinion, polling, or research consultancy environment.
  • Expert-level R skills, including package development, tidyverse and tidymodels fluency.
  • Demonstrated experience building robust analytical tools or models used by others in a team or organisation.
  • Strong background in applied statistics and machine learning, with a focus on transparency and interpretability.
  • Comfortable working in GitHub and writing clean, well-documented code.
  • Excellent communication skills—able to explain technical ideas to non-technical audiences.

Nice to have

  • Experience supporting client projects in a research or consultancy context.
  • Familiarity with survey methodology, MRP, or causal inference techniques.
  • Experience working with cloud-based tools (e.g. BigQuery, GCP).
  • Interest in public opinion, politics, or social science research.
  • An eye for design and clarity in visualising data and outputs.
  • Solid working knowledge of Python (e.g. pandas, scikit-learn), or willingness to expand into Python when needed.

Who you are (mindset)

  • Experienced data scientistwith 3+ years in public opinion, polling, or research consultancy, and you excel in R development, including package creation and tidyverse expertise.
  • Robust analytical skills and backgroundin applied statistics and machine learning focusing on transparency and interpretability.
  • A confident communicator, who thrives in collaborative environments, translating technical concepts for non-technical audiences.
  • Optional experience in survey methodology, MRP, or causal inference, alongside an interest in public opinion or social science research, is a strong plus. Proficiency in Python or willingness to expand into it adds to your versatility.

Please note that this role is predominantly in-office (4 days a week).


About Focaldata

At Focaldata, we're building a new kind of tech-enabled research agency — that offers clients deep insight at the speed of software. You'll get the opportunity to work alongside a highly collaborative team of researchers, client leads, engineers, data scientists and product specialists. We do impactful work with leading organisations, from brands like New Balance to campaign groups like Hope not Hate and non-profits like the Bill and Melinda Gates Foundation. Join us.

Focaldata is an equal opportunities employer. We believe in the value of a diverse and inclusive workforce for our business, team and customers. We encourage all applications regardless of age, disability, gender, marriage, pregnancy, maternity, race or nationality, religion or belief, sex and sexual orientation.

We also understand that certain groups may not feel empowered to apply unless they match every single requirement. Please do apply even if you don"t match 100% of every single requirement!



zqrLR5fdK4B4qSmGjTqx5e

PI274141747

Related Jobs

View all jobs

Senior Data Scientist (GenAI)

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (Equity only)

Senior Data Scientist (Equity only)

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.