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Current Opportunities.

Senior Data Scientist (Machine Learning, Python)



£70,000 - £80,000 per annum



As a lead member of their engineering business you will be tackling challenges that make an impact across a huge vertical of businesses and users. Big data is in the core of their projects. As the Senior Data Scientist you will have the chance to work with one of the highest volume data sets, that is, hundreds of millions products, each one described as a multi-dimensional document.

As the Senior Data Scientist you will be collaborating with a small group of engineers working on one of the most important and interesting data sets available.

They approach problems from all angles as a team and believe that failing is just as important to the process as succeeding. As the Senior Data Scientist you will work directly with the founding team who have been together for over 5 years. People from all walks of life who have joined from some of the biggest names in online, to work together on this mission. Every member of the business is here to help support and share in your success!

Senior Data Scientist Requirements:

  • Proficient in data science and analysis.
  • Data cleaning, validation, wrangling (munging), and integration.
  • Actionable data insights.
  • Programming skills, e.g. in Python, C/C++, R, etc.
  • Implementation of Machine Learning techniques (e.g. regression, classification, support vector machines, topic modelling, random forests).
  • Passion for data analysis and problem solving.
  • Capacity to learn and experiment.

Senior Data Scientist Responsibilities (projects to participate / problems to solve):

  • Information retrieval and indexing.
  • Semantic analysis and search in multi-field documents.
  • Content (text, image, time-series, ...) categorization and classification.
  • Similarity in multidimensional data.
  • Relevance and ranking of documents.
  • Spelling correction.
  • Auto-complete.

If you're a Senior Data Scientist who's keen to work as a lead figure within a Start-up (70 staff), please apply now!