Data Scientist

The Data Scientist is responsible for helping to build new data products, and improving data quality in a fast growing SME that specialises in big data acquisition and analytics.

This is an excellent opportunity to further develop statistical, programming, big data and business skills in a dynamic startup environment, while making a real contribution to getting new data products ready for market.

Key responsibilities include, but are not limited to:

Working as part of a data science team that performs:

  • Processing and manipulation of large and complex datasets.
  • Validation and improvement of existing practices in data quality and methodology (e.g.  statistical reporting on survey design, research meta-analyses over a variety of data sources and types, and design and analysis of pilot studies (A-B testing)).
  • Advanced analytics to extract meaningful information and generate new insights from big data (e.g. predictive modelling / machine learning, exploratory data analysis, and social media mining / sentiment analysis).

Required Skills and Experience

Essential to have:

  • Some programming experience, ideally in R and/or Python.
  • Experience in statistics (predictive modelling, inference, exploratory data analysis, experimental design) and some exposure to statistical packages (R, SPSS, Stata, SAS etc.).
  • Attention to detail.
  • Good time management and organisational skills.
  • Keen to discover, learn, test and implement new data science methodologies.
  • Good interpersonal skills, bright attitude, willing to help other members of the team.

Preferable to have:

  • SQL Database experience.
  • Experience in working with large, complex datasets.
  • Linux / bash scripting.
  • Experience in advanced data processing, analysis and visualisation tools (e.g. dplyr, ggplot2, Pandas).
  • Knowledge of common statistical models and/or machine learning algorithms.
  • Knowledge of big data analytics frameworks (Spark, Hadoop etc.).

Location: Manchester, United Kingdom

Salary: Dependent on Experience