Data Scientist

TransUnion's Job Applicant Privacy Notice

What We'll Bring

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 major credit reference agency and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a wide variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance.

We’re looking for a Data Scientist to join our growing team.

At TransUnion we’re happy to talk flexible working, both in terms of location and hours. We operate a hybrid model allowing you to explore the balance of work from home or from our office in Madrid, Spain.

What You'll Bring

Day to Day You’ll Be:

• Exploratory data analysis & data cleansing
• Apply data science and machine learning methods to proactively interrogate the repository to identify and derive features associated with relevant fraud behaviors, both within and across sources, and including outcomes
• Develop features (feature engineer), models, and templates that support customers’ need to maximize fraud capture and conversion (and ultimately profitability), using relevant supervised and unsupervised machine learning methods, in collaboration with the Fraud organization and other stakeholders (potentially including vertical-specific models)
• Support efforts to productionalize analytic code, automate relevant processes, architect model deployment paths, and develop new revenue-generating services in collaboration with Technology
• Support tighter integration of analytic and production workflows (e.g., capturing performance for analytic purposes, enabling models in an adaptive control setting, developing models on dynamic or streaming data)
• Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors’ offerings
• Perform predictive model PoC & back test and monitoring of existing analytical tools
• Statistical analysis and visualization: RCA, hypothesis, A/B testing.

Impact You'll Make

Essential Skills & Experience

• Five (5) or more years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry
• Master’s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence.
• Proficiency in Python (Numpy, Pandas, Scikit-learn, Catboost, Flask, Django,…) and one or more analytic languages (R, Spark, Scala)
• Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting (including rare event modeling, anomaly detection, and transaction analytics)
• Demonstrated ability to build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Proficiency in ML frameworks including Keras, Tensorflow, Thanos, scikit-learn, keras, XGBoost
• Proven ability to architect and engineer machine-learning pipelines with online / real-time features
• Demonstrated ability to build and move machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
• Strong project and time management skills with the ability to manage multiple assignments effectively (agile)
• A critical thinker and creative problem solver.
• Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code
• Experience manipulating large datasets in SQL
• Experience with cloud computing (AWS, Azure, GCP)
• Familiarity with credit bureau data and business practices
• Workflow and Collaboration tooling such as Jira
• Code management tooling such as Git, Github, Gitlab

What’s In It For you?

At TransUnion you will be joining a friendly, forward thinking global business.

We’re happy to talk flexible working. We operate a hybrid model allowing you to explore the balance of work and hours from home and/or from our Madrid office.

TransUnion – a Place To Grow

We know that you may not possess every aspect of the essential and/or desirable skills listed above but if there’s something you can’t tick off, don’t let that put you off applying as we could explore training for you.

Interview & Hiring Process

Most of our recruitment processes are virtual, so you’ll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform of this.

Reasonable Adjustments

If you require any reasonable adjustments to attend an interview with us, please detail this on your application.

#LIHybrid

TransUnion Job Title

Acquisition Exempt, Acquired Associate