Senior Data Scientist β€” Hybrid AI/ML Lead

Senior Data Scientist β€” Hybrid AI/ML Lead

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Transform data into actionable insights and build ML/DL/NLP models on large datasets.
  • Company: Join Santander's Chief Data & AI Office in a dynamic hybrid role.
  • Benefits: Gain exposure to cutting-edge analytics in the financial services sector.
  • Other info: Collaborate with cross-disciplinary teams in a fast-paced environment.
  • Why this job: Make a real impact by contributing to responsible AI practices.
  • Qualifications: 6–8 years of experience and a degree in Computer Science or related field.

The predicted salary is between 60000 - 80000 Β£ per year.

Santander's Chief Data & AI Office in Milton Keynes is seeking a Senior Data Scientist to transform data into actionable insights.

You'll build and deploy ML/DL/NLP models on large datasets, collaborate with cross-disciplinary teams, and contribute to responsible AI practices.

This fixed-term role offers exposure to cutting‑edge analytics in a financial services context.

Required: 6–8 years of experience, a degree in Computer Science or related field, fluency in English, and strong communication #J-18808-Ljbffr

Senior Data Scientist β€” Hybrid AI/ML Lead employer: BlackCube Labs

At BlackCube Labs, we pride ourselves on fostering a creative and collaborative work environment that empowers our employees to excel in their craft. With flexible working arrangements and a comprehensive benefits package, we support your professional growth while ensuring a healthy work-life balance. Join us in a vibrant location where innovation thrives, and take your career in CG animation to new heights.

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Contact Details:

BlackCube Labs Recruitment Team

We think you need these skills to ace Senior Data Scientist β€” Hybrid AI/ML Lead

Machine Learning (ML)
Deep Learning (DL)
Natural Language Processing (NLP)
Data Transformation
Large Dataset Management
Cross-Disciplinary Collaboration
Responsible AI Practices