Jr Data Scientist

This position supports the development of analytic solutions for TransUnion’s clients, focusing on credit, fraud, insurance, and marketing applications. You will assist data scientists in creating predictive models, business rules, and identity solutions. Training will be provided in data extraction, segmentation, and statistical analysis using R, Python, SQL, Hive, and Spark, with a focus on generating insights for fraud detection and prevention. The role requires a passion for data, strong analytical skills, and programming aptitude.

Must Have

• Support the development of analytic solutions for TransUnion’s clients.
• Support other data scientists to drive new business initiatives.
• Deliver long term value-added solutions to various TransUnion customers.
• Develop predictive models, new business rules, and device and other identity solutions.
• Design, write, and test programs for data extraction, segmentation and statistical analysis.
• Generate insights from data to provide recommendations to customers.
• Coursing last year of any quantitative career or just obtained bachelor's degree.
• Bachelor's degree in a non-quantitative field but getting a specialization in Data Science.
• No experience is required.
• Passion for data and analysis is required.
• Strong analytical, critical thinking, and creative problem-solving skills.
• Intermediate programming skill and aptitude; proficiency with statistical programs such as R or Python and SQL.
• Good verbal and written communication skills in English and Spanish.
• Desire to work on full-stack data science solutions and engage in continuous learning.

Perks & Benefits

• A work environment that encourages collaboration and innovation.
• Flexible time off.
• Workplace flexibility.
• An environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
• Modern computing environment based on best-in-class "big data" and cloud computing technologies.
• Freedom to explore new data sources and statistical and machine learning methodologies.

What We'll Bring:

This position is responsible for supporting the development of analytic solutions through consulting engagements for TransUnion’s clients across a broad array of credit, fraud, insurance and marketing business applications. You will support other data scientists to drive new business initiatives and deliver long term value-added solutions to various customers. These tasks will include –among others- the development of predictive models, new business rules, and device and other identity solutions of broad scope and complexity for customers within the various industries served by TransUnion. You will be trained to design, write, and test programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive and Spark, formalizing some of these efforts into repeatable process improvements. Also, you will be trained to generate insights from data to provide recommendations to our customers within the area of fraud detection and prevention.

What You'll Bring:

• Coursing last year of any quantitative career or just obtained from his/her bachelor's degree.
• Bachelor's degree in a non-quantitative field but getting a specialization in Data Science.
• No experience is required.
• Passion for data and analysis is required.
• Strong analytical, critical thinking, and creative problem-solving skills.
• Intermediate programming skill and aptitude; proficiency with statistical programs such as R or Python and SQL.
• Good verbal and written communication skills in English and Spanish.
• The desire to work on full-stack data science solutions and engage in continuous learning.

Impact You'll Make:

• 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 Data Science and 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.