Jobs

Market Research Data Scientist


Job details
  • Harnham
  • London
  • 3 days ago

MARKET RESEARCH DATA SCIENTIST

UP TO £65,000

4X WEEK IN LONDON OFFICE


About the Role:

Are you a curious and ambitious Data Scientist with experience working in Market Research looking for more ownership and the chance to make a bigger impact? Harnham is working exclusively on a new role with a growing research company, where you’ll have the opportunity to take charge of research projects from start to finish and help our clients navigate our cutting-edge platform.


THE ROLE:

  • Design and execute data analysis for market research projects, using both quantitative and qualitative data.
  • Develop predictive models, segmentations, and advanced analytics to identify key trends and insights from consumer data.
  • Apply machine learning and statistical methods to enhance data-driven strategies in product development, marketing, and customer engagement.
  • Collaborate with market researchers, product teams, and other stakeholders to ensure a clear understanding of insights and recommendations.
  • Conduct data wrangling and preparation, ensuring data integrity and alignment across sources.
  • Stay updated on the latest data science and analytics trends, tools, and technologies in market research.


YOUR SKILLS AND EXPERIENCE:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Marketing, or a related field.
  • 3+ years of experience in data science, analytics, or a related role, ideally within market research or consumer insights.
  • Proficiency in Python/R.
  • Strong knowledge of machine learning algorithms and statistical methods, including regression analysis, clustering, and classification.
  • Experience working with large datasets and conducting data wrangling and cleansing.
  • Excellent communication skills, with the ability to translate complex findings into actionable insights for non-technical audiences.
  • Familiarity with market research methodologies, including survey design, consumer segmentation, and behavioral analysis.



HOW TO APPLY:

Apply via the link below!

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