AI Innovation and Development, Lead Scientist

FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!

The Opportunity 

FICO is looking for outstanding AI scientists and engineers to build the next generation of generative AI and agentic systems for real-time, enterprise-scale decisioning. You'll design, train, and evaluate neural networks and agent systems that operate at enterprise scale within the FICO Platform, powering fraud detection, risk, and analytics for some of the world's largest financial institutions. We're looking for problem solvers who want their models to leave the lab and run in production, in one of the highest-stakes, most regulated environments in AI today.

 What You’ll Contribute 

• Design, train, and evaluate neural networks and agent systems, from statistical and ML models to generative AI, LLMs, RAG, and agentic workflows, to solve real-world analytics, risk, and fraud problems for enterprise applications at massive scale.

• Conduct hands-on analysis of large datasets, applying data-cleaning techniques and feature engineering to identify the right modeling approach and ensure data quality throughout

• Lead and mentor teams designing and developing AI/ML solutions, partnering across FICO to integrate models into the FICO Platform under real-world time constraints.

• Evaluate and integrate emerging AI technologies and frameworks, balancing performance, cost, and responsible AI standards.

• Establish best practices for prompt engineering, model and agent evaluation, observability, and governance of generative AI in a highly regulated environment.

• Support client and pre-sales engagements, investigating model behavior and contributing to model construction and post-implementation support of models in production.

• Drive innovation by promoting new ideas and approaches that push the team and products forward.

• Travel and flex your hours as business needs require.

What We’re Seeking 

• PhD or Master's in Computer Science, Physics, Engineering, Machine Learning, Statistics, Mathematics, Operations Research, or a related technical field, with significant hands-on experience in predictive modeling, machine learning, and applied AI development.

• Experience analyzing large, real-world datasets and applying data-cleaning techniques to understand their underlying structure, and translating that understanding into effective feature engineering

• Deep understanding of the architectures and techniques behind generative AI and agentic systems, such as neural networks, transformers, embeddings, attention mechanisms, fine-tuning, and RAG, beyond basic familiarity with frameworks like LangChain, LangGraph, or Hugging Face.

• Skilled in tuning and evaluating models: selecting and preparing training data, setting hyperparameters, and assessing performance and robustness.

• Proven ability to lead cross-functional teams on medium-to-large projects and manage client interactions with strong communication skills.

• Strong competency in two or more programming languages (Python, C, C++, Java) and deep learning frameworks (PyTorch, TensorFlow, JAX, DeepSpeed). Comfortable working in a Linux environment.

• Strong publication record in high-impact journals or top conference proceedings is a plus.

• Prior experience with real-time payment transactional data, including data field availability, timing, and format requirements for downstream analytics, is a plus.

• Experience deploying AI/ML solutions within highly regulated industries (e.g., financial services, healthcare, insurance) is a plus.

Our Offer to You 

• An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.

• The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.

• Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.

• An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.

• The targeted base pay range for this role is: $122,500 to $192,500 with this range reflecting differences in candidate knowledge, skills and experience.
   

Why Make a Move to FICO?

At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics.  You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.

FICO makes a real difference in the way businesses operate worldwide:

•    Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.

•    Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.

•    Lending — 3/4 of US mortgages are approved using the FICO Score.

Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career.  Join FICO and help change the way business thinks!

Learn more about how you can fulfil your potential at www.fico.com/Careers

FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.

Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy