Phd à Grande-Bretagne

Data Scientist / Statistician – Mid level

(Market Research & Survey Data Focus)

£42,500-47,500 per annum

Location: Hybrid – 2 days per week in Carmarthenshire office

Unify is proud to be exclusively representing a fantastic purpose-driven business who are on an incredible journey of growth.

About the Role:

We are looking for a self-starting, analytically sharp Data Scientist / Statistician to join our clients growing team, with a focus on survey data analysis in market research. This is a mid-level position for someone who thrives on solving problems, building robust analytical solutions, and delivering high-quality insights that inform decision-making at the highest level.

In this role, you’ll work on a broad range of exciting projects and be part of a company operating at the cutting edge of research and technology. You’ll have the opportunity not only to carry out sophisticated data analyses but also to play an active role in developing tools, processes, and products that push the boundaries of how data is used in modern research.

You’ll report directly to the Head of Technology and Chief Data Scientist, and will be expected to independently interpret briefs, develop analytical strategies, and collaborate with researchers and developers to deliver outstanding results.

Key Responsibilities

• Perform advanced analysis of survey data from market and social research projects using a range of statistical and data science techniques.
• Interpret briefs from senior stakeholders and independently build out appropriate solutions.
• Apply and develop statistical models (e.g. regression, segmentation, predictive analytics, etc.) and data transformations.
• Collaborate with technical and research teams to develop internal tools, products, and automation pipelines.
• Maintain high standards of data quality, reproducibility, and documentation.
• Communicate findings clearly and effectively to both technical and non-technical audiences.
• Push for analytical excellence and challenge assumptions where necessary.
• Contribute to continuous innovation in methodology, tooling, and analytical approaches.
• Stay current with developments in AI, large language models, and other emerging technologies.

Key Requirements:

Education:

A Master’s or PhD in a relevant discipline (e.g. Sociology, Political Science, Economics, Psychology, Social Policy, Public Health, Marketing) or other social science fields with strong statistical training and survey research components.

Experience:

• Demonstrated experience working with survey data in market research, commercial research, or applied social research settings.
• Strong proficiency in R (required) and working knowledge of Python (preferred).
• Familiarity with legacy statistical software such as SPSS, Stata, or SAS is welcome.
• Proven ability to:
  • Apply inferential statistics and econometric techniques
  • Conduct regression modelling and data wrangling
  • Apply machine learning methods (e.g. clustering, decision trees)
  • Work with structured datasets and survey designs
• Experience or interest in AI and large language models (LLMs) is a plus but not required.

Skills & Attributes:

• Excellent attention to detail and data integrity.
• Strong critical thinking and problem-solving skills.
• Able to work independently and drive projects forward without micromanagement.
• A collaborative team player who can constructively challenge ideas and uphold quality.
• Strong written and verbal communication skills.
• Interest or experience in survey methodology is a plus.
• Passion for learning, growing, and contributing to a high-performance environment.

Why Join Us?

** Work directly on a broad range of exciting projects.

**Join a company at the leading edge of research, technology, and data science.

**Be part of a smart, supportive, and ambitious team that values integrity and innovation.

**Help build the next generation of research tools and products.

**Opportunities for real career progression, learning, and development in AI, analytics, and applied data science.

Benefits include:

Workplace Culture & Social Perks
Learning & Development
Time Off & Flexibility
Work Life Balance
Health & Wellness
Financial Wellbeing

And SO much more

Sound like you??? Well get involved!

Please apply in the first instance by submitting your latest CV for review by our Talent team.

Thank you!