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TENTEN Partners seeks experienced Data Scientists to solve complex business problems using cutting-edge AI, ML, and Generative AI in the financial services sector. You will work at the intersection of data science, generative AI and agentic AI to build AI copilots, RAG systems and scalable recommender engines.
The role emphasizes production-ready solutions, real-world impact, and collaboration with cross-functional teams to automate processes and improve customer experiences.
You’ll work on real-world AI use cases across multiple business domains, with the opportunity to take solutions from experimentation through to production.
Your work will include:
Generative AI: creating AI copilots, Retrieval-Augmented Generation (RAG) solutions and intelligent recommendation systems.
Machine Learning: Developing and deploying predictive models using latest ML techniques to solve complex business challenges.
Agentic AI: Exploring and implementing AI agents that automate decision‑making and enable more intelligent customer engagement.
Data Science at scale: Working with large, structured and unstructured datasets to uncover actionable insights.
AI Engineering & Innovation: Collaborating with cross‑functional teams to develop scalable solutions using cloud platforms, MLOps and real‑time data technologies.
Business Impact: Translating complex analytical findings into compelling data stories that influence business decisions.
Depending on your experience, there may also be opportunities to take on team leadership responsibilities.
Data Scientists who enjoy solving dynamic problems, experimenting with emerging AI technologies and creating solutions that deliver measurable outcomes — rather than simply developing models that never make it into production.
If you’re ready to take your Data Science career to the next level and help shape the next generation of AI‑powered financial services, I’d love to hear from you.
Equal Opportunity Statement
TENTEN Partners is an equal opportunity firm and is committed to providing equal employment opportunities to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other protected characteristic as outlined by applicable laws.