ENVIRONMENT:

A leading company in the Intelligent Process Automation (IPA) sector is offering an exciting opportunity for an AI and Analytics Engineer to deliver intelligent systems at scale. This role focuses on empowering cross-functional business and customer development teams through advanced data and analytics. You'll be responsible for building applications that help teams move faster and make more accurate, forward-looking decisions by leveraging big data and data science.

DUTIES:

• Deliver Intelligent systems at scale. Powering Business (cross-functional) and Customer Development areas through data and analytics. Building out the right applications to enable business teams to move faster, with more accurate and future-looking decisions leveraging Big Data & Data Science.
• Winning disproportionately. Creating analytics products that make a significant impact on our business and drive competitive advantage in the market, while collaborating appropriately with other markets and Global teams (i.e. winning both locally and globally).
• Drive us to assisted and predictive decision-making. The future is about assisted decision-making with machines (AI/Cognitive Computing/Machine Learning) unlocking the insights from a vast deluge of consumer, customer & internal data, and presenting this in a way that is simple for our teams.
• Make data a true asset. Better data and data science access for every part of the business, across the 3 data frameworks (Connectivity, Growth, Continuous Improvement) and leading through the Enterprise Data Executive.
• World-class Information. One Version of the Facts. Continued excellence in the delivery of diagnostics and insights to focus attention when and where it matters with a focus on Big Bets, Strategic Initiatives and Leadership team reporting.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing data pipelines, architectures and datasets.
• Working knowledge of architectures to support advanced analytics and data science.
• Strong analytic skills related to working with unstructured datasets.
• Knowledge about and experience of the use of data to deliver business insights and transform delivery in various companies.
• Experience with building processes supporting data transformation, data structures, dependency, and workload management.
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable data stores
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Understand the business problems and how to deliver relevant insights that lead to actions
• Gather data and build data science and algorithmic solutions to address business problems requiring descriptive, diagnostic, predictive, and/or prescriptive analytics.
• Create experimentation to solve complex business problems and deliver predictions on future business outcomes in a repeatable and relevant way
• Support product teams scaling models into low-touch solutions to provide optimal ROI from data science.
• Work on in-market business problems coming from CCBTs, CD, Finance and CLT. Identify common themes to build repeatable models and partner with CD, CCBT, and Finance leadership to support 4G growth through data and analytics, and/or advance the next phase of NRM
• Position analytics as a tradable “currency” with customers to gain a competitive advantage.
• Drive new value from insights from connecting external and internal data sources
• • Innovate new data and analytic methodologies are driven by