TransUnion

P03 – Data Science Consultant

24 May 2024
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Deadline date:
£30000 - £56000 / year

Job Description

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What We’ll Bring:

At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we’re – consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius.

What You’ll Bring:

  • Proficient with one or more statistical programming languages such as R, or Python
  • Familiar with big data processing applications
  • Proficient using and extracting data from relational databases (SQL)
  • Strong analytical, critical thinking and creative problem solving skills
  • Strong written and verbal communication skills: ability to clearly articulate ideas to both technical and non-technical audiences
  • Ability to conduct detailed root-cause analyses, integrate multiple data sets, generate insights and monitor resolutions
  • Previous detailed analytics experience with digital, mobile, contact center, operational or financial data
     

Impact You’ll Make:

We’d love to See:

  • Proficient using Ab Initio
  • A love of problem solving and analytics
  • Experience with BI tools and visualizing data
  • Experience solving problems relevant to the problems we solve at TransUnion
  • Bachelor’s degree in Statistics, Economics, Mathematics or related field.
  • Additional Job Description
  • Monitor and interact with our billing systems daily
  • Perform statistical analysis and data mining methods including classification, regression, and time series analysis
  • Forecast series and impact of shifts in marketing spend
  • Identify KPIs and their associated thresholds
  • Build models
  • Evaluate products and customer segments

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion Job Title

Consultant, Data Science and Analytics