Senior Analyst, Data Science & Analytics

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Team Overview

About TransUnion:

TransUnion is a global information and insights company which provides solutions that help create economic opportunity, great experiences and personal empowerment for hundreds of millions of people in more than 30 countries. We call this Information for Good®.
TransUnion is a leading credit reference agency and we offer specialist services in identity and risk management, fraud, automated decisioning and demographics. We support organisations across a wide variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance.

What we will bring:
• An agile work environment that encourages collaboration and innovation, consistently exploring new technologies and tools.
• Flexible time off and workplace flexibility within an environment that welcomes continued professional growth through support of tuition reimbursement, conferences, and seminars.
• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.
• We are developing a new computing environment based on best-in-class big data and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.
• Our Global Data Science & Analytics team is home to some of the most brilliant minds in the market, whose default setting is to share innovations, knowledge, and best practice, with strong camaraderie and support.

About the Role

You will apply your analytics and data science skills to deliver new products and services, enhance existing propositions and conduct fundamental R&D into new approaches to provide our clients best in class solutions and products, ensuring the TU business remains at the forefront of the credit industry.
Our Analytics team also provides analytics support to consultancy led sales and project deliveries, conducting detailed analysis including scorecard development and testing, ad hoc analysis and consultancy. The Analyst is expected to present analysis results back to both internal and external clients and produce deliverables & supporting documentation to required standards.

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview And Core Responsibilities

Key Responsibilities • Partner with internal and external cross-functional teams to drive new business initiatives and deliver long term value-added solutions to various TransUnion customers. These tasks will include –among others- the development of predictive models and business intelligence solutions of high complexity for customers within the various industries served by TransUnion. • Participate in client / product development engagements for DSA involving descriptive, predictive, and prescriptive aspects for a variety of business use cases leveraging multiple data science techniques. • You will design and write programs for data extraction, segmentation, statistical / ML / AI analysis on large population datasets using languages such as R and Python. • You will deliver data science driven insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds and levels. • You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. • This role will be required to fit well within a lively and interactive team and quickly adapt to the analytical tools and development approaches used within the business area. • Liaise with the wider DSA team and Project Managers to ensure analytics tasks progress to plan • Conduct detailed analysis, including: Scorecard development, affordability product development, portfolio review, monitoring and ad hoc analysis. • Submit and analyse retrospective bureau data • Present back results of analysis to internal / external clients • Produce deliverables / support documentation to required standards

Required Knowledge And Experiences

Skills & Experience: • Degree, Master's Degree or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. A consistent track record of academic excellence. • Outstanding analytical, critical thinking, and creative problem-solving skills. • Thorough and analytical, with capability to identify and apply logic to solve problems. • Ability to quickly adapt to the analytical tools and development approaches used within TransUnion • Manage own workload and progress project work with limited support; Ability to multi-task • Good communication and team working skills; Ability to manage day-to-day written and verbal communication internally and with clients • Good time management skills (ability to multi-task) • Attention to detail

TransUnion Overview:

At TransUnion, we encourage and are committed to creating a real, positive impact and shared sense of purpose within our Workforce for Good, which empowers our people to grow, innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the driver’s seat of their professional development— while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; that’s why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good – you’ll work with great people, pioneering products and cutting-edge technology.

TransUnion Job Title

Sr Analyst, Data Science and Analytics