Experian Innovation Lab is looking to enhance relationships with clients and acquire strategic datasets by researching and developing analytical solutions, prototyping new products, and evaluating data assets.
Requirements
- Proficiency in multiple programming languages, including Python
- Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
- Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas.
- Experience with large data analysis using pySpark
- Experience with LLMs and the relevant tools in the Generative AI domain.
- Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
- Experience modifying and applying advanced algorithms to address practical problems
Responsibilities
- Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
- Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
- Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
- Innovate with tools designed for data processing and information retrieval.
- Dissect and document vast datasets, analyzing them to highlight patterns and insights.
- Solve complex challenges by developing impactful algorithms.
- Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
Other
- Master's Degree or higher in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
- 2+ years of experience in AI, data science, or predictive modeling
- Experience with online, mobile marketing analytics
- Experience with GPU programming
