Data Scientist

CenturyLink

Basingstoke, UK

Ref: 217587

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CenturyLink (NYSE: CTL) is the second largest U.S. communications provider to global enterprise customers. With customers in more than 60 countries and an intense focus on the customer experience, CenturyLink strives to be the world’s best networking company by solving customers’ increased demand for reliable and secure connections. The company also serves as its customers’ trusted partner, helping them manage increased network and IT complexity and providing managed network and cyber security solutions that help protect their business.

Job Summary

Working as a member of our IT Data Intelligence Team, the Data scientist will be responsible for providing strategic recommendations, ground in evidence-based data analysis and statistical modelling, helping ensure the continuing success of the wider Business Transformation team. Looking for a self-starter who can identify projects and have a keen eye for what can add value to the business.

Job Description

  • Provide data evidence to support business cases and opportunities from of opportunities
  • Working with BA’s, define and implement solutions for data driven improvements (reporting, machine learning, cleanse etc.)
  • Drive the enablement of EMEA non-IT functional reporting
  • Provide data to support ‘control’ of delivered solutions (value realization)
  • Working with Data Integrity, implement data assurance reporting solutions
  • Reporting/Analysis - Develop and publish reporting and analytics as a result of tested hypotheses and provide user-friendly outputs for various departments
  • Predictive analytics - Test business hypotheses across various departments to construct predictive models. Work in cross functional team to identify new hypotheses.
  • Data Model Management - Set up experimental designs to answer business questions and opportunities. Continuously measure model effectiveness and performance.
  • Business Management - Participate in various business improvement activities and deep-dive initiatives adding insight where predictive analytics are required to forecast impact/results.
  • Data Quality - Execute different data analytics to ensure the completeness, quality, and consistency of data used for analytics across systems.

Qualifications

  • Passion for Data Science and AI combined with the ability to communicate insights to the business and senior management
  • Intellectually curious, you’ll also demonstrate the ability to present complex ideas to technical and non-technical audiences at all levels including senior executives
  • Minimum 3 years' experience with data modelling
  • Structured – SQL
  • Unstructured Hadoop, Spark , NoSQL
  • Tableau / PowerBI

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