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Data Scientist at Experian Software Solutions | Sofia

On-site Full-time

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Experience Level

Experience

Qualifications

Required Qualifications:A master's degree or PhD in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field. A minimum of 3 years of experience in AI, data science, or predictive modeling, demonstrating a successful track record in managing intricate analytical technology projects. Proficiency in statistical modeling using at least one programming language, with strong coding skills in Python and familiarity with coding best practices. Experience analyzing large datasets using Spark (preferably pySpark). Familiarity with Large Language Models (LLMs) and relevant tools in the Generative AI field. Hands-on experience with machine learning algorithms including XGBoost, GANs, clustering, graph algorithms, and hyperparameter tuning. Proficient in open-source tools for deep learning and machine learning, such as PyTorch, Keras, TensorFlow, and Scikit-learn. Experience utilizing generative AI-based tools. Familiarity with Hadoop and NoSQL technologies.

About the job

Join our innovative Analytics Services Team at Experian Software Solutions, where we drive the development of cutting-edge analytic and generative AI products that aid in decision-making, analytics, fraud prevention, and identity management on a global scale.

As a Data Scientist, you will leverage your expertise in predictive modeling, coding, and generative AI to craft analytical solutions and contribute to product prototypes. Your role will involve leading analytical consulting efforts for Experian's new global product launches and ensuring early client success. You will work under the guidance of the Director of Data Science and Generative AI.

Key Responsibilities:

  • Design and implement advanced machine learning models and prototypes to extract valuable insights from various structured and unstructured data sources.
  • Collaborate with engineering, research, and data science teams to develop Machine Learning applications, dashboards, and ad hoc analyses on our cloud-native big data platform (AWS).
  • Clearly communicate model processes and outcomes, documenting findings and performance metrics while translating complex results into actionable insights.
  • Work alongside leaders, analytic consultants, engineers, and product managers to introduce new solutions to the market that create significant value for Experian's diverse client base.
  • Utilize generative AI and modeling tools to develop innovative models.
  • Investigate and integrate new data assets from various sources into Experian's ML and AI platform.
  • Collect feedback from internal and external clients to inform product development and feature prioritization, as well as contribute to the evolution of tools and capabilities within the Ascend Platform.
  • Analyze extensive datasets to identify patterns and insights.
  • Address complex challenges through the creation of impactful algorithms.

About Experian

Experian is a leading global data and technology company that empowers individuals and businesses with invaluable insights. We are committed to redefining lending practices, combating fraud, simplifying healthcare, creating effective marketing solutions, and providing profound insights into the automotive sector through our unique blend of data, analytics, and software. Our mission also extends to helping millions achieve their financial objectives while saving time and money. We prioritize investment in people and cutting-edge technologies to harness the power of data. As a proud member of the FTSE 100 Index and listed on the London Stock Exchange (EXPN), our workforce comprises 22,500 professionals across 32 countries, with our corporate headquarters located in Dublin, Ireland.

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