Consultant / Data Scientist

We are looking for highly-motivated candidates that are eager to develop their competences in the field of statistics, programming and business analysis.


As our consultant you will have a unique opportunity to design and implement tools and IT systems that helps our client to achieve their business goals and increase the probability of projects success. You will work intimately with clients through whole project life cycle, since planning, over controlling, till install phase. As far as corporation goes, this is the most startup role in such a big company you have ever dreamed of. The team is composed of really smart people – possibly the one of smartest you have worked with. The boss understands models, performance and can still challenge you.


Working closely with the team of our experts, you will be responsible for the development of valuable solutions for PwC clients, through the implementation of statistical data modeling, programming IT systems and reporting. You will support clients in in-depth understanding of the key-drivers for their current and future success and solving the strategic and operational problems.

  • Appling your expertise in quantitative business analysis, data mining, and the presentation of data to see beyond the numbers
  • ffective and professional verbal and written communication with different recipient
  • Understanding of project team roles and pro-active contribution to  mutual success.

An ideal candidate should have

  • Higher degree or last-years students (preferred Math, Computer Science, Economics, Physics, Operational Research or related)
  • Command of predictive analysis tools (preferred R, SAS)
  • Experience with analysis of large data sets (in particular a good knowledge of machine learning algorithms)
  • Willingness to learn new tools and software solutions, i. a. (Python, Hadoop, geospatial analysis tools)
  • Basic understanding of economics and management issues
  • Very good command of English
  • Strong interpersonal and communication skills – essential in day-to-day cooperation with clients and the team.

Additional assets will be:

  • Knowledge of tools and programming languages using in large data sets analysis in Hadoop ecosystem (for instance Pig, Hive, Spark)
  • Experience in effective visualization (Tableau, QlikView, Tibco Spotfire)
  • Familiar with databases (SQL, OLAP, ETL)
  • Interest in behavioral economics and/or data science
  • KAggle profile.

What we can offer you

  • Opportunity to develop skills in statistical modeling embedded in business realities
  • Gaining knowledge and experience in the practical use of technology centered around Big Data on projects carried out for companies from different sectors.


Photo: PwC

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Autor článku: StudentPoint

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