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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
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Driving experience with data science, including data classification, data mining, and forecasting using machine learning capabilities in Adobe Analytics; Demonstrating knowledge/experience with data analytics and data visualization tools (Alteryx, Tableau, PowerBI.
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Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools; Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis.
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Working with a wide variety of programming languages and frameworks that include: HTML, Java, SQL, R, Python, and/or Hadoop, with experience building data pipelines; Ensuring 2+ years of experience implementing analytics code on native mobile applications to collect data for analytics tools such such as Adobe Analytics and Google Analytics.
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6 year(s) of experience in data analytics with a focus on Ethics & Compliance is preferred. Demonstrating a thorough level of knowledge in data analytics tools and programming languages, such as Python, R, and SQL.
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Proving ability to collect data from various sources, determine appropriate storage methods, perform various analyses, distill and communicate key insights/complex findings to non-technical stakeholders through data visualization techniques.
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Data Processing/Analytics/Science, Computer and Information Science, Statistics. Preparing and presenting comprehensive reports and recommendations to senior management and stakeholders using data storytelling techniques.
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The successful candidate will be responsible for leveraging their data science background to drive compliance monitoring data analytics initiatives. Utilizing data science techniques to analyze large data sets and identify patterns, trends, and anomalies that may indicate potential compliance violations.
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Demonstrating knowledge/experience with data management and data science tools; Guiding the definition of data management requirements, including translating and documenting needs, assessing data, and implementing appropriate data solutions & data warehousing principles and methodologies.
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This Senior Manager will play a critical role in confirming compliance with ethical standards and regulatory requirements through the use of advanced data analytics techniques. Developing and maintaining data analytics models and tools to support ongoing monitoring and reporting of compliance metrics.
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Providing guidance and training to team members on data analytics techniques and tools; Staying up-to-date with Industry-leading practices in data analytics and compliance monitoring to continuously enhance the program.
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Performing business and data analytics both as an individual contributor and team member and identifying and addressing business/client needs; Designing, implementing, and managing data within a data layer.
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Leading the development and implementation of data analytics strategies to identify potential compliance risks and issues; Proving specialization in analytical and problem-solving skills, with the ability to think critically and make data-driven decisions.
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To help us achieve this we have the PwC Professional; our global leadership development framework. A career in Risk Management, within Internal Firm Services, will provide you with the opportunity to advance and foster integrity based decision making and conduct by PwC professionals throughout our organisation.
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machine learning data mining jobs Company: Pwc
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