Principal Data Scientist (London)

ABOUT TEMENOS

Temenos powers a world of banking that creates opportunities for billions of people and businesses everywhere. We have been doing this for over 30 years through the pioneering spirit of our Temenosians who are passionate about making banking better, together.

We serve over 3000 clients from the largest to challengers and community banks in 150+ countries. We collaborate with clients to build new banking services and state-of-the-art customer experiences on our open banking platform, helping them operate more sustainably.

At Temenos, we have an open-minded and inclusive culture, where everyone has the power to create their own destiny and make a positive contribution to the world of banking and society.

We are seeking a visionary and hands-on Principal Data Scientist to lead the design, development, and deployment of cutting-edge AI/ML solutions across 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 & Innovation
  
• Lead 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 & Deployment
  
• Design, build, and deploy production-grade AI/ML models for banking, across retail, risk and compliance, payments, wealth.
  
• Collaborate with engineering and design to integrate models into scalable, cloud-native and on-prem systems.
  
• Establish best practices for model monitoring, retraining, and lifecycle management.
  
• Technical Leadership & Mentorship
• 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.
  
• Stakeholder Engagement
  
• Partner with product, engineering, design and sales teams to translate requirements into data science solutions.
  
• Communicate complex technical concepts to non-technical stakeholders with clarity and impact.
  
• Support go-to-market efforts with technical insights and customer-facing engagements.

• 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.
• Leadership & Culture Fit
  
• 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.

• Care about partnering with product, engineering, design and sales teams
• Commit toworking in agile, cross-functional teams.
• Collaborate to review code, model architectures quickly and effectively.
• 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 month
  
• Civil Partnership: 1 week of paid leave if you're getting married. This covers marriages and civil partnerships, including same sex/civil partnership
  
• Family care: 4 weeks of paid family care leave
  
• Recharge days: 4 days per year to use when you need to physically or mentally needed to recharge
  
• Study leave: 2 weeks of paid leave each year for study or personal development

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