Senior DL Scientist, Credit Risk Methodologies (Remote)

Tilt

United Kingdom

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Benefits offered by this job

Equity
Flexible health plans
Global collaboration across time zones
Paid global onsites

Job summary

Tilt is seeking a Senior Data Scientist to lead the development of deep learning models powering fair credit decisions. You will own end-to-end model design, experimentation, and collaboration with Engineering and Product to deploy scalable, responsible AI in production.

You will translate complex data signals into actionable credit solutions, mentor teammates, and advance Tilt’s “people-first” ML strategy across global teams.

Qualifications

  • Proven track record building and deploying deep learning models.
  • Experience with neural networks, embeddings or transformers.
  • Applied ML to real-world problems, preferably within financial services.
  • Ability to explain complex concepts to non-technical partners.

Responsibilities

  • Own the development and testing of deep learning architectures (transformers, embeddings, NN).
  • Partner with Engineering and Product to scale models in the real world.
  • Translate insights into actionable solutions for the lending platform.
  • Own projects from hypothesis to measurable outcomes.
  • Mentor others and advance the team’s deep learning capabilities.
  • Define success by business impact, not just model accuracy.

Skills

Deep learning
Neural networks
Transformers
Embeddings
PyTorch
TensorFlow
Cross-functional collaboration
Clear communication

Tools

PyTorch
TensorFlow

Job description

Tilt is seeking a Senior Data Scientist to lead the development of deep learning models powering fair credit decisions. You will own end-to-end model design, experimentation, and collaboration with Engineering and Product to deploy scalable, responsible AI in production.

You will translate complex data signals into actionable credit solutions, mentor teammates, and advance Tilt’s “people-first” ML strategy across global teams.

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