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Permanent

Data Scientist - Machine Learning, AI, Python

Hanwell
money-bag Negotiable
BF1D65005051511A1C7CDA5AF6CD611A
Posted Yesterday

Temenos powers a world of banking thatcreates opportunities for billions of people and businesses everywhere. We havebeen doing this for over 30 years through the pioneering spirit of our Temenosianswho are passionate about making banking better, together.We serve over 3000 clients from the largest to challengers andcommunity banks in 150+ countries. We collaboratewith clients to build new banking services and state-of-the-art customerexperiences on our open banking platform, helping them operate moresustainably.At Temenos, we have an open-minded andinclusive culture, where everyone has the power to create their own destiny andmake a positive contribution to the world of banking and society.

We are seeking a visionary and hands-onPrincipal Data Scientistto lead the design, development, and deployment of cutting-edgeAI/ML solutionsacross our Banking AI portfolio. This role is central to Temenos AI strategy, delivering responsible, high-impact models that transform how banks operate and serve their customers.You will work closely with product managers, engineers, and domain experts to build scalable, ethical, and high-performing AI systems. You will also mentor data scientists, contribute to AI governance, and drive innovation in areas such as GenAI, LLMs, and predictive analytics.

AI Strategy and InnovationLead research and prototyping of novel AI techniques, including GenAI and LLMs, for banking use cases.Define and drive the AI/ML roadmap in alignment with product and business goals.Champion responsible AI practices, ensuring fairness, transparency, and compliance.Model Development and DeploymentDesign, build, and deploy production-grade AI/ML models for banking, across retail, risk and compliance, payments, wealth.Establish best practices for model monitoring, retraining, and lifecycle management.Provide technical direction and mentorship to junior data scientists and engineers.Review code, model architectures, and experiments to ensure scientific rigor and quality.Contribute to the development of internal AI frameworks, tools, and reusable components.Partner with product, engineering, design and sales teams to translate requirements into data science solutions.Advanced degree (PhD or MSc) in Computer Science, Data Science, Statistics, or related field.Experience with AI governance, model explainability, and regulatory compliance.Familiarity with composable banking platforms and financial services data.Experience working in agile, cross-functional teams in a global, matrixed environment.Were looking for a collaborative, impact-driven leader who thrives in ambiguity and inspires teams to push the boundaries of whats possible with AI in banking.

Commit

toworking in agile, cross-functional teams.Challenge

and lead research and prototyping of novel AI techniques.

Maternity leave:

Transition back with 3 days per week in the first month and 4 days per week in the second monthCivil Partnership: 1 week of paid leave if you''re getting married. Family care: 4 weeks of paid family care leave2 weeks of paid leave each year for study or personal development

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