Lead Data Scientist - Waste Analytics & Metrics in London

Lead Data Scientist - Waste Analytics & Metrics in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Transform raw data into actionable insights for waste management.
  • Company: Greyparrot, a leader in environmental sustainability.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Join a passionate team dedicated to sustainability in a dynamic London setting.
  • Why this job: Make a real impact on the environment through innovative data solutions.
  • Qualifications: Extensive experience with complex datasets and deep learning technologies.

The predicted salary is between 70000 - 90000 Β£ per year.

Greyparrot is looking for a Lead Data Scientist to oversee the transformation of raw data into actionable insights, essential for their mission in waste management. The ideal candidate will work closely with the CTO and lead a team while ensuring clients receive timely, high-quality deliverables. Located in London, the position is crucial for enhancing data methodologies that support environmental sustainability through improved waste analytics.

Applicants should have extensive experience handling complex datasets and an understanding of deep learning technologies.

Lead Data Scientist - Waste Analytics & Metrics in London employer: Greyparrot

At Greyparrot, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that prioritises sustainability and professional growth. Our hybrid working model, competitive salary, and comprehensive benefits, including mental health support, ensure that our employees thrive both personally and professionally while contributing to meaningful projects in the field of AI.

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Contact Details:

Greyparrot Recruitment Team

We think you need these skills to ace Lead Data Scientist - Waste Analytics & Metrics in London

Communication Skills
SQL
Problem-Solving Skills
Python
Automation
Data Engineering
Attention to Detail