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 accomplish their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.
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
Experian is looking for a Senior Data Scientist (AI focus) to join the Experian Software Solutions Global Analytics GenAI team. You will lead the development of advanced AI/ML systems and contribute to the evolution of Experian Ascend, our flagship innovation platform. You will design intelligent agents, deploying scalable AI solutions, and collaborating across teams to bring research into production. We are looking for strong technical expertise, hands-on development experience, and the ability to guide junior team members.
You will report into the Senior Director of Analytics and AI.
What you will do:
- Develop scalable and reusable GenAI components to enhance operational efficiency.
- Lead the design and implementation of AI/ML models, with a focus on intelligent agents and autonomous systems.
- Contribute to the development of monitoring and oversight frameworks to ensure transparency, safety, and performance of AI systems.
- Collaborate with engineering, product, and research teams to translate the latest research into impactful solutions.
- Lead efforts in developing automation into the Experian process, allowing Scientists and Engineers to focus their attention on thought-provoking innovative initiatives rather than redundant tasks.
- Provide technical mentorship to junior scientists and engineers, promoting a collaborative team culture.
- Stay current with advancements in AI/ML integrate latest technologies into Experian’s solutions.
Qualifications
Qualifications
- Advanced degree in computer science, AL/ML or related field
- 7+ years of experience in AI/ML, with hands-on expertise in building and deploying models at scale.
- Strong knowledge of modern language models (Transformers, GPT APIs, SLMs, RLHF) and agent-based architectures.
- Proficiency in Python, PyTorch, and distributed computing frameworks (e.g., Spark, AWS).
- Solid understanding of ML algorithms (e.g., XGBoost, GANs, clustering, graph algorithms, hyperparameter tuning)
- Experience transitioning AI models from research to production environments.
Additional Information
What you will get:
- Work environment – excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
- Social benefits package including life insurance, food vouchers, additional health insurance for you and a family member, monthly flex allowance including internet bill coverage, sick leave allowance, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many more!
- Work-life balance – 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in social responsibility events.
- Opportunity for flexible working hours and home office.
- Personal Development – career pathways for professional growth supported by learning and development programmes and unlimited access to online educational training courses, learning materials and books.
Experian is an Equal opportunity employer. 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.
#LI-Hybrid
This is a hybrid remote/in-office role.
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