Company Description
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to work towards their financial goals and help them save time and money.
We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.
Job Description
Overview
Experian's Innovation Lab is a R&D unit at Experian formed with the objevtive to work in collaboration with Experian's departments to develop new solutions, acquire strategic datasets, to enhance relationships with clients.
What You'll Do
As a Senior Principal Data Scientist at the Experian Innovation Lab, your role will be to help frame Lab's R&D roadmap, lead the research and development of analytical solutions, prototype new products, and evaluate data assets. You will bring experience in predictive modeling, machine learning, and deep learning to this position. You should also have experience in coaching and growing junior Data Scientist and Data Engineers.
Responsibilities
- Understand market trends and our clients' pain points, to lead, along with other Lab leaders, the Lab's R&D road map for next 3-5 years to addresses industry needs
- Follow new technologies in AI and Machine Learning, and guide the R&D efforts to apply the latest technology to address our client's challenges.
- Lead the development of impactful analytical solutions with Return on investment related to Identity management, fraud detection, risk management, and marketing optimization.
- Solve complex challenges by developing impactful algorithms
- Craft advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
- Lead efforts to improve the Lab's data management, data processing, knowledge discovery and modeling process
- Coach junior team members of the Lab
- Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
- Improve 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.
- Ensure model excellence by validating performance scores and analyzing Return on investment and benefits.
- Articulate model processes and outcomes, documenting and presenting findings and performance metrics
- #LI-Remote
Qualifications
- Ph.D degree 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
- Track record in leading development of impactful analytical solutions with Return on investment for fraud detection, risk management, or marketing optimization.
- Experienced in leading sizable teams to develop AI driven analytical solutions
- Proficiency in multiple programming languages, including Python, Java, C++, and C
- Experience 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.
- 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 Spark (pySpark preferred)
- Experience with LLMs and the relevant tools in the Generative AI domain.
- Experience developing advanced language models
- Experience in developing and applying Generative AI based technology
- Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra.
- Experience with GPU programming
Additional Information
Benefits/Perks
- Great compensation package and bonus plan
- Core benefits including medical, dental, vision, and matching 401K
- Flexible work environment, ability to work remote, hybrid or in-office
- Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
- Explore all our exciting benefits here: yourexperianbenefits.com/cand-index.html
Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
