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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.
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.
