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What Well Bring:
Design develop and deploy machine learning and deep learning models for real-world large-scale datasets using Spark and SQL to uncover trends and with data engineers analysts and business stakeholders to define data-driven and maintain robust data pipelines and model training complex findings clearly through visualizations presentations and explore and implement the latest advancements in AI and data science.What Youll Bring:
Required Qualifications:
Bachelors or Masters 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 Youll 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.
TransUnion Job Title
Consultant Data Science and AnalyticsRequired Experience:
Contract
Company Overview TransUnion is a leading global risk and information solutions provider. Our mission is to help people worldwide access opportunities that lead to a higher quality of life. We accomplish this by delivering solutions that help organizations optimize their risk-based dec ... View more