Senior Data Scientist – Fraud Analytics & GenAI

twentysix; United Kingdom; Hybrid; GBP 80,000 - 130,000; Full time

Benefits offered by this job

Remote and hybrid options

International mobility

Development programs

Job summary

Valtech is seeking a Data Scientist to push the boundaries of experience innovation. You will design and deploy fraud and banking analytics, generative AI, and production ML pipelines within an Agile, client-facing environment that values collaboration, learning, and responsible AI practices.

The role offers hybrid work options and international opportunities. You will work across governance, engineering, and stakeholder engagement to translate complex model behavior into actionable insights for

Qualifications

• Proven fraud and banking domain experience.
• Strong ML/AI foundations across supervised and unsupervised approaches.
• Experience with multimodal data pipelines (images, text, tabular).
• Proficient in Python data science stack and ML productionization.
• Familiarity with regulatory and governance considerations for financial data.

Responsibilities

• Develop, validate, and maintain fraud detection and risk scoring models.
• Build real-time data pipelines and integrate with banking event streams.
• Collaborate with compliance and product teams to translate regulations into model constraints.
• Architect RAG systems and vector databases for knowledge grounding.
• Operationalize models with MLOps tooling and expose outputs via microservices.

Skills

Problem solving

Team collaboration

Communication

Agile mindset

Education

Bachelor's degree in a quantitative field

Tools

PyTorch

TensorFlow

Kafka

Pub/Sub

SHAP

LIME

NeMo Guardrails

LangChain

LlamaIndex

Pinecone

Milvus

Weaviate

ChromaDB

MLflow

Kubeflow

Vertex AI Pipelines

FastAPI

Flask

Docker

Kubernetes

PySpark

BigQuery

Snowflake

Redshift

Job description

Valtech is seeking a Data Scientist to push the boundaries of experience innovation. You will design and deploy fraud and banking analytics, generative AI, and production ML pipelines within an Agile, client-facing environment that values collaboration, learning, and responsible AI practices.

The role offers hybrid work options and international opportunities. You will work across governance, engineering, and stakeholder engagement to translate complex model behavior into actionable insights for