Consultant, Data Science and Analytics

1 Month ago • 5 Years +

Job Summary

Job Description

As a Consultant, Data Science and Analytics, you will develop data-driven solutions for IT infrastructure, data quality, and customer experience. This involves creating consumer credit models, strategies, and business intelligence solutions through consulting engagements and research for TransUnion and its clients. You will partner with internal and external teams to drive new business initiatives, deliver value-added product propositions, and lead analytic client engagements. Responsibilities include developing predictive risk management solutions, designing programs for data analysis, delivering insights in presentations, and developing project proposals. You will also provide mentorship, and promote a high-performance culture.
Must have:
  • Bachelor's degree in a quantitative field and 5+ years of experience
  • Strong analytical and problem-solving skills
  • Understanding of machine learning techniques
  • Advanced programming skills with statistical languages
  • Excellent communication and collaboration skills
  • Project management skills with the ability to manage multiple assignments
  • Ability to travel 10-20%
Good to have:
  • Master's or PhD in a quantitative field and 3+ years experience
  • Familiarity with credit bureau data and business practices
  • Experience in designing and deploying consumer credit models
  • Experience working in a global company
  • Experience with modern big data frameworks
Perks:
  • Collaboration and innovation work environment
  • Flexible time off and workplace flexibility
  • Professional growth opportunities including tuition reimbursement
  • Modern computing environment and freedom to explore new data sources

Job Details

TransUnion's Job Applicant Privacy Notice

What We'll Bring:

What we'll bring:
A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
Flexible time off, workplace flexibility, 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 provide a modern 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 Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we'll appreciate them.

What You'll Bring:

What you'll bring:

  • Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.  And, at least five (5) years of professional experience performing advanced analytic work in Financial Services, consumer credit, or a related industry
  • Strong analytical, critical thinking, and creative problem-solving skills
  • Excellent understanding of machine learning techniques and algorithms, such as Classification, Regression, Clustering, Feature Engineering, Decision Trees, Gradient Boosting etc
  • Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools
  • Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
  • Strong project management skills with the ability to manage multiple assignments effectively
  • Ability to travel 10-20%

 

What we'd prefer to see:

  • Master's or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field.  And, at least three (3) years of professional experience performing advanced analytic work in Financial Services, consumer credit, or a related industry
  • Familiarity with credit bureau data and business practices
  • Experienced in designing, developing, and deploying consumer credit models for the Financial Services industry
  • Operates independently in a complex and dynamic, matrixed environment
  • Experienced working in a company with a global presence
  • Experience with modern "big data" frameworks (Hadoop, Spark, cloud)

 

Impact you'll make:

This position is responsible for developing data-driven solutions to challenging and complex problems related to IT infrastructure/ operations, data ingestion and quality control, and enhancing customer experience. You will also be responsible for consumer credit models, strategies, and business intelligence solutions through consulting engagements and research serving TransUnion and its clients. This position requires understanding consumer lending and credit risk management practices.

 

  • You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for B2B customers in TransUnion's financial services segment. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks.
  • You will lead analytic client engagements involving descriptive, predictive, and prescriptive leveraging various techniques (e.g., segmentation, logistic regression, machine learning, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).
  • You will design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on Linux, PC, and other big data computing platforms.
  • You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
  • You will develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
  • You will identify strategies and opportunities for customers to test and adopt TransUnion's analytic products and services.
  • You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
  • You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

Impact You'll Make:

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

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.

TransUnion Job Title

Consultant, Data Science and Analytics

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About The Company

TransUnion is a global information and insights company with over 12,000 associates operating in more than 30 countries. We make trust possible by ensuring each person is reliably represented in the marketplace. We do this with a Tru™ picture of each person: an actionable view of consumers, stewarded with care. Through our acquisitions and technology investments we have developed innovative solutions that extend beyond our strong foundation in core credit into areas such as marketing, fraud, risk and advanced analytics. As a result, consumers and businesses can transact with confidence and achieve great things. We call this Information for Good® — and it leads to economic opportunity, great experiences and personal empowerment for millions of people around the world.

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