Data Scientist - Tom Kyc - Global Process Ai (f/m/x)

Deutsche Bank UK

Competitive income; performance-based promotions; ...
Hybrid
Python programming with oop principles
Generative ai and llm tuning experience
Cloud platforms aws or gcp knowledge
The role involves collaborating with global stakeholders to translate business needs into production-ready AI solutions within Deutsche Bank's technology centre

Job Summary

  • The role involves collaborating with global stakeholders to translate business needs into production-ready AI solutions within Deutsche Bank's technology centre.
  • Candidates will be responsible for building scalable data infrastructure, deploying models as microservices, and ensuring compliance with bank governance policies.
  • The position offers a hybrid working model with 40% remote work, competitive income, and access to private healthcare and mental health support.

Matching Summary

The role involves collaborating with global stakeholders to translate business needs into production-ready AI solutions within Deutsche Bank's technology centre.

Salary

Competitive income; Performance-based promotions; Meal vouchers and referral bonuses

Skills & Requirements

Must-have

  • Python programming with OOP principles
  • Generative AI and LLM tuning experience
  • Cloud platforms AWS or GCP knowledge
  • Data ingestion and transformation skills
  • Model deployment to production APIs
  • Agile methodology participation

Nice-to-have

  • Experience with multi-agent systems
  • Knowledge of Retrieval-Augmented Generation
  • Strong communication for data storytelling
  • Familiarity with Tableau visualization
  • Interest in continuous learning culture

Key Requirements

  • Bachelor's or Master's degree in Data Science or related field
  • Minimum 3 years of professional experience as an AI Engineer
  • Proficiency in Object-Oriented Programming (OOP) and SOLID principles

Work Rights

Not specified

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