Experian

Business Intelligence Specialist (Data Scientist)

R Python Pandas NumPy Machine Learning
Description

Company Description

Ready to make a difference? Experian has evolved into a global tech company in data and analytics. We're passionate about unlocking the power of data to transform lives and create opportunities for consumers, businesses and society. We're a member of the FTSE 30 and for more than 125 years we've helped economies and communities flourish – and we're not done.

Discover the Unexpected - Our 22k amazing employees in 30+ countries believe the possibilities for you, and the world, are growing. We're investing in the future, through new technologies, accomplished people and new ideas so we can help create a better tomorrow. To do this we employ 'big-thinkers' that share our purpose #uniquelyexperian

Job Description

Supports and leads the analytics projects delivery effort, providing project management and analytics consultancy to develop analytical solutions ensuring that the relationship with the client is productive, professional and mutually beneficial.

Key Responsibilities  

  • Works independently to develop descriptive and predictive analytical solutions using best practice analytical techniques and following established quality procedures to help guarantee the robustness of the solution
  • Produce the best quality models that can be produced within the given project timeline.
  • Perform audits to support the implementation of statistical models and other decision tools.
  • Ensure quality and accuracy of own work and the work of any Data Modellers on the project
  • Follow best practice procedures and processes throughout the analytics solution delivery process
  • Recognise and maximise opportunities to support the sale of analytics and other Experian solutions
  • Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work.
  • Present to clients to ensure they understand the functionality and benefits of CSDA products in solving business problems.
  • May work as part of a cross functional market team, supporting colleagues and junior members to achieve results
  • Identify potential problems in the end to end process and take ownership for the resolution  

Qualifications

  • 5 years of experience of statistical/analytical project work and/or work in the Financial services or Telco’s sectors or Retails sector
  • Degree or equivalent standard, with a high mathematical content e.g. Mathematics, Statistics, Operational Research, Economics, Physical Sciences.
  • Highly PC literate with thorough knowledge of statistical  (e.g. Python with Pandas,  Sciklearn, Numpy, PySpark and Machine Learning Packages and R) and IT packages. Databricks is an a plus.
  • Understanding of statistical techniques which may be used to address client business issues.
  • Understanding of the principles and applications of the relevant Business Lines analytics solutions range. Knowledge of Location Intelligence and Marketing Intelligence is a plus.
  • Knowledge of machine learning
  • Strong communication skills, including proficiency in writing reports and presenting technical work.
  • Effective project planning and time management skills
  • An innovative and inquisitive mind, focused on addressing and solving data and analysis problems.
  • Common sense/logical approach to mathematical reasoning.
  • Commercially aware.
  • Relevant Language skills for local marketplace.
  • Excellent English language skills.

Additional Information

  • Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials & books

  • Work environment - excellent work conditions with a friendly environment, recognized strong team spirit, and fun and quality recreation time

  • Opportunity for Flexible working hours and Home Office (hybrid model)

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Experian
Experian
Analytics Big Data Cyber Security FinTech Fraud Detection Information Services

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