Lead Data Scientist Mortgages

As Lead Data Scientist, you will set direction for applied AI solutions, lead use cases from problem framing to production and adoption, and help define the technical roadmap for Data Science, GenAI and agentic AI within the mortgage domain.

## What you are going to do

With your solution-oriented and proactive mindset, you translate business challenges into scalable AI solutions that create real value in mortgage processes. You take end-to-end ownership of high-impact AI and GenAI solutions, from problem framing, solution design and experimentation to evaluation, deployment, monitoring and adoption. You ensure solutions are technically sound, reusable, scalable and effectively embedded in daily mortgage processes.

You work with modern AI capabilities, including foundation models, LLMs, agentic patterns, managed AI services and emerging model platforms. We currently use OpenAI and other AI services, and you help assess which technologies are most suitable for each use case.

You act as a senior technical sparring partner for AI engineers, architects and product leads, guiding key decisions on solution design, model choice, evaluation approaches, scalability and responsible implementation. You help shape the technical direction for Data Science and GenAI in the mortgage domain, translating vision into concrete choices and approaches. You coach and mentor data scientists, strengthening both individual capabilities and the overall technical maturity and impact of the team.

## Who you are

You are a senior data science professional with a track record in applied AI, who combines technical expertise with leadership and strategic thinking. You have proven experience in leading, designing and delivering AI solutions in production, including work with LLMs, NLP and foundation models. You bring a strong understanding of the full data science lifecycle: from exploration and modelling to evaluation, deployment and monitoring in production environments. You are comfortable with cloud platforms such as Azure and/or AWS, including managed AI services. You have a solid engineering mindset with strong Python skills and familiarity with software engineering best practices. You have at least 8+ years of working experience in a professional data and/or engineering environment, of which at least 5+ years in developing and delivering AI or data science solutions.