Responsibilities
- Design, build, prototype, package, and deploy machine learning and generative AI solutions at scale.
- Deliver production-ready analytical solutions and ensure production code runs within the Ascend platform and Experian client software.
- Collaborate with Engineering, Research, Data Science, product, consulting, sales, and external partners on machine learning, dashboarding, ad hoc analysis, and AI applications.
- Develop models and prototypes using supervised learning, unsupervised learning, deep learning, graph analytics, anomaly detection, and reinforcement learning.
- Use prompt engineering, fine-tuning, RAG, and model evaluation frameworks to develop and deploy generative AI capabilities.
- Write modular, production-quality code using version control, code reviews, and automated testing.
- Analyze structured and unstructured data, document model methodologies and performance, and communicate findings to technical and non-technical stakeholders.
- Support product launches, client implementations, early client adoption, and evolution of Experian's ML and AI ecosystem.
Requirements
- 4+ years of experience in AI, data science, or predictive modeling, including complex hands-on analytical technology, innovation, and client-focused projects.
- Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field.
- Statistical modeling proficiency in at least one programming language and coding skills in Python.
- Experience with distributed computing frameworks and the AWS computing platform.
- Experience analyzing large datasets with Spark, preferably PySpark.
- Experience developing models with Python or SAS.
- Experience applying generative AI tools and rapidly prototyping new concepts.
- Some background in model risk management, governance processes, regulatory requirements, and advances in large language models.
- Ability to communicate model methodologies, assumptions, performance, and trade-offs clearly to diverse stakeholders.
Benefits
- Career development programs, learning and development support, and unlimited access to online training, learning materials, and books.
- Social benefits including life insurance, food vouchers, additional health insurance, monthly flexible allowance, internet coverage, corporate discounts, marriage and childbirth or adoption allowance, Multisport card, Sharesave plan, employee assistance program, and a birthday gift.
- 25 days of paid vacation, one additional birthday day off, and three extra paid days for participation in a social responsibility event.
- Flexible working hours and home office options; the posting is tagged as hybrid.
- Inclusive equal-opportunity workplace with disability and special-needs accommodations.
Tech Stack
Categories
About Experian
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, deliver digital 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 realise their financial goals and help them to save time and money. We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. We invest in talented people and new advanced technologies to unlock the power of data and innovate. 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.