Published: Sat, 14 Jun 2025 14:50:47 GMT
Position: Senior Principal Data Scientist
Company Description:
Experian is a leading global data and technology company that empowers individuals and businesses worldwide. Our unique combination of data, analytics, and software enables us to redefine lending practices, prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market. We also help millions of people achieve their financial goals, saving them time and money.
As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we are committed to investing in people and advanced technologies to unlock the power of data. With a team of 22,500 people across 32 countries, our corporate headquarters are located in Dublin, Ireland. Learn more at experianplc.com.
Job Description:
Overview:
Experian’s Innovation Lab is a research and development unit that collaborates with various departments to develop new solutions, acquire strategic datasets, and enhance client relationships.
What You’ll Do:
As a Senior Principal Data Scientist at the Experian Innovation Lab, your role will be to lead the Lab’s R&D roadmap, research and develop analytical solutions, prototype new products, and evaluate data assets. You will utilize your expertise in predictive modeling, machine learning, and deep learning to drive innovation in this position. Additionally, you will have the opportunity to coach and mentor junior Data Scientists and Data Engineers.
Responsibilities:
– Understand market trends and client pain points to develop the Lab’s R&D roadmap for the next 3-5 years, in collaboration with other Lab leaders
– Stay updated on new technologies in AI and Machine Learning and guide R&D efforts to apply the latest technology to address client challenges
– Lead the development of impactful analytical solutions with a focus on return on investment for identity management, fraud detection, risk management, and marketing optimization
– Solve complex challenges by developing impactful algorithms
– Utilize advanced machine learning techniques to extract insights from structured and unstructured data sources
– Lead efforts to improve the Lab’s data management, processing, and modeling processes
– Coach and mentor junior team members
– Identify and utilize the most suitable machine learning and processing techniques to extract value from data
– Enhance data manipulation and retrieval through efficient data structures and storage solutions
– Innovate with data processing and information retrieval tools
– Analyze and document large datasets to uncover patterns and insights
– Ensure model excellence by validating performance scores and analyzing return on investment and benefits
– Articulate model processes and outcomes, and present findings and performance metrics
Qualifications:
– PhD in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field
– More than 10 years of experience in AI, data science, and predictive modeling
– Proven track record of leading the development of impactful analytical solutions with a focus on return on investment for fraud detection, risk management, or marketing optimization
– Experience leading sizable teams to develop AI-driven analytical solutions
– Proficiency in multiple programming languages, including Python, Java, C++, and C
– Expertise in developing analytical solutions using deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and reinforcement learning
– Familiarity with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, and scikit-learn
– Experience with large data analysis using Spark (pySpark preferred)
– Experience with LLMs and relevant tools in the Generative AI domain
– Experience developing advanced language models
– Experience in developing and applying Generative AI-based technology
– Familiarity with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, and Cassandra
– Experience with GPU programming
Additional Information:
Benefits/Perks:
– Competitive compensation package and bonus plan
– Comprehensive benefits including medical, dental, vision, and matching 401K
– Flexible work environment with the option to work remotely, hybrid, or in-office
– Flexible time off including volunteer time off, vacation, sick leave, and 12 paid holidays
– Explore all of our exciting benefits here: https://yourexperianbenefits.com/cand-index.html
Our uniqueness is that we celebrate yours. At Experian, our culture and people are important differentiators. We prioritize our people agenda, focusing on diversity, equity, and inclusion, work-life balance, development, authenticity, collaboration, wellness, reward and recognition, and volunteering. Our people-first approach has been recognized with awards such as World’s Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024. Check out Experian Life on social media or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. We value innovation and diversity in our workforce, and our diverse team drives our success. At Experian, everyone can thrive and bring their authentic selves to work, regardless of their gender, ethnicity, religion, color, sexuality, physical ability, or age. If you have a disability or special need that requires accommodation, please let us know as soon as possible. Apply link