Consultant , Data Science & Analytics

Posted 2 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Mid level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Design and deploy machine learning models, analyze data, collaborate with teams, and explore advances in AI and data science.
Summary Generated by Built In

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What We'll Bring:

Design, develop, and deploy machine learning and deep learning models for real-world applications.
Analyze large-scale datasets using Spark and SQL to uncover trends and patterns.
Collaborate with data engineers, analysts, and business stakeholders to define data-driven strategies.
Build and maintain robust data pipelines and model training workflows.
Communicate complex findings clearly through visualizations, presentations, and reports.
Continuously explore and implement the latest advancements in AI and data science.

What You'll Bring:

Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
4+ years of experience in data science or machine learning roles.
Strong proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, etc.).
Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
Proficiency in Apache PySpark for distributed data processing.
Advanced SQL skills for data manipulation and analysis.
Solid understanding of machine learning algorithms, model evaluation, and deployment.

Build E2E GenAI Solutions - develop , refine & implement advance GEN AI & Agentic AI applications.

Impact You'll Make:

Preferred Qualifications:
Experience with cloud platforms (AWS, GCP, or Azure).
Familiarity with MLOps tools and practices.
Experience with NLP, computer vision, or time-series forecasting.
Strong analytical thinking and problem-solving skills.

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

Top Skills

Apache Pyspark
AWS
Azure
GCP
Numpy
Pandas
Python
PyTorch
Scikit-Learn
SQL
TensorFlow

What the Team is Saying

Patrick
Tiana
Jason
Lauren
TC
Jay
Aayushi
Paul
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The Company
HQ: Chicago, IL
13,000 Employees
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace.

We do this by having an accurate and comprehensive picture of each person.

This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world.

Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.

We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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TransUnion Teams

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About our Teams

TransUnion Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQChicago, IL
Amsterdam, NL
Bengaluru, IN
Boca Raton, FL
Bogotá, Colombia
Burlington, ON
South Africa
Cerqueira César, Sao Paulo
Chennai, IN
Cherry Hill, NJ
Cork, County Cork
Crum Lynne, PA
Denver, CO
Greenwood Village, CO
Guaynabo, PR
Gurugram, IN
Hamburg, DE
Hyderabad, IN
Johannesburg, ZA
TransUnion UK Head Office
London, GB
Louisville, KY
Madrid, ES
Makati, PH
Mexico, MX
Mumbai, IN
New York, NY
Pune, IN
Reston, VA
San Luis Obispo, CA
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Toronto, ON
Ulloa, La Aurora
Washington, US
White Plains, NY
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