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Consultant Data Scientist

Consultant Data Scientist

Pakistan Revenue Automation (Pvt) Ltd.Islamabad, Islamabad Capital Territory, Pakistan
30+ days ago
Job description

Job Title : Expert in Predictive Analytics

Location : Information Technology and Services - Islamabad, Pakistan

Posted on : Jul 4, 2016

Last Date : Aug 8, 2016

Job Responsibilities

  • This role will act as an expert in Predictive Analytics to exploit new analytic and statistical tools, producing insights into our customers and undertaking predictive and behavioral analytics driving evidence-based resource decisions.
  • The post holder will be expected to act independently as the expert, driving analytical insight into department-wide problems with complex recommendations that have been rigorously tested.
  • Decisions will affect all work areas in terms of enforcement and compliance of FBR, providing advice, direction, and support to enhance analytical capability in algorithm development to predict taxpayer outcomes.
  • The post holder will have a pioneering role with responsibility to significantly enhance the FBR’s analytical capability sustainably, informing decision-making and compliance strategy using data-driven analytics.
  • Work alongside existing technical staff to mentor, develop, and deepen predictive modeling / data science skills in the team.

Job Specification

ESSENTIAL KNOWLEDGE AND SKILLS

  • Critically challenge analysis employed in their business and provide constructive, pioneering alternatives to drive significant improvements.
  • Support innovation and improvement of risk, customer relationship management (CRM), and cost modeling to improve end-to-end processes.
  • Extensive experience of 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 a variety of commercially available analytical IT tools, e.g., SAS, R, or Python.
  • Extensive hands-on experience of credit / risk and / or behavioral data analytics in a large organization.
  • Experience of delivering risk and analysis projects balancing cost, quality, and timing variables for successful delivery.
  • Significant experience (ideally 5 years +) in a post with project lead responsibility for operational applications of propensity / risk analysis strategies.
  • A minimum of a 4 year Bachelor’s degree or Masters in a numerate discipline from a recognized local or international university.
  • Strong quantitative and technical skills.
  • Experience of mentoring and developing teams in a complex analytical environment.
  • Ability to engage effectively with senior business users through clear and professional written communication.
  • An appreciation of Big Data technologies such as Hadoop, Spark, and Mapreduce.
  • Desired Knowledge and Skills

  • Knowledge of performance indicators used to monitor risk portfolio performance.
  • Experience of segmentation and marketing analytics approaches.
  • Good general understanding of BI tools and techniques such as Cognos, Business Objects, and Tableau.
  • The work is inherently complex and intellectually demanding - if you like ambiguous and challenging data work and logical problem-solving, this is for you.
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