Career Opportunity: Predictive Analytics Expert

2 days ago

Islamabad, Islamabad, Pakistan beBeeDataScientist Full time 20,000,000 - 25,000,000
Job Title: Data Scientist Consultant

This is an exciting opportunity to join a dynamic team as a seasoned data scientist consultant. The successful candidate will possess expertise in predictive analytics, machine learning, and statistical modeling. As the expert in this field, you will be responsible for driving analytical insights into complex business problems and providing recommendations that have been rigorously tested.

Responsibilities:
  1. To act as the subject matter expert in predictive analytics, exploiting new analytic and statistical tools to produce actionable insights into our customers and undertaking predictive and behavioral analytics.
  2. The post holder will independently drive analytical insight into department-wide problems with complex recommendations.
  3. You will provide advice, direction, and support to enhance analytical capability in algorithm development to predict taxpayer outcomes.
  4. A pioneering role with responsibility to significantly enhance the FBR's analytical capability sustainably, informing decision-making and compliance strategy using data-driven analytics.
  5. Work alongside existing technical staff to mentor, develop, and deepen predictive modeling/data science skills in the team.
Requirements:
  • Critically challenge analysis employed in their business and provide constructive alternatives to drive improvements.
  • Support innovation and improvement of risk, customer relationship management (CRM), and cost modeling to improve end-to-end processes.
  • Extensive experience analyzing large and complex datasets.
  • Familiarity in algorithm development categorized as Artificial Intelligence, Predictive Analytics, Data Mining, or Machine Learning.
  • Demonstrably expert in predictive analytics using commercially available IT tools.
  • Extensive hands-on experience credit/risk and/or behavioral data analytics in a large organization.
  • Experience delivering risk and analysis projects balancing cost, quality, and timing variables.
  • Significant experience in a post with project lead responsibility for operational applications of propensity/risk analysis strategies.
  • A minimum of a Bachelor's degree in a numerate discipline from a recognized local or international university.
  • Strong quantitative and technical skills.
  • Experience mentoring and developing teams in a complex analytical environment.
  • Ability to engage effectively with senior business users through clear written communication.
  • An appreciation of Big Data technologies such as Hadoop, Spark, and Mapreduce.

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