Data Scientist, ML & Data Hub β€” Hybrid Role

Data Scientist, ML & Data Hub β€” Hybrid Role

Full-Time 60750 - 74250 Β£ / year (est.) Home office (partial)
V

At a Glance

  • Tasks: Transform raw data into scalable datasets and develop data-processing pipelines.
  • Company: Leading technology company in the UK with a focus on innovation.
  • Benefits: Competitive salary, flexible working model, and various employee benefits.
  • Why this job: Join a dynamic team and contribute to exciting machine learning initiatives.
  • Qualifications: Strong background in data science, proficiency in Python, and experience with ML libraries.

The predicted salary is between 60750 - 74250 Β£ per year.

A leading technology company in the United Kingdom is seeking a Data Scientist to transform raw data into scalable datasets.

You will develop data-processing pipelines, collaborate with experts, and contribute to machine learning initiatives.

The ideal candidate has a strong background in data science, proficiency in Python, and experience with ML libraries.

This opportunity includes a competitive salary, a flexible working model, and various employee benefits. #J-18808-Ljbffr

Data Scientist, ML & Data Hub β€” Hybrid Role employer: Viridiengroup

Viridien is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary, attractive bonus schemes, and a flexible benefits platform. Located in Crawley, the company fosters a collaborative work culture with a strong commitment to sustainability and community engagement, ensuring that employees not only thrive in their roles but also contribute to meaningful environmental initiatives. With tailored training programs and a focus on continuous learning, Viridien empowers its team members to develop their skills and advance their careers in a supportive environment.

V

Contact Details:

Viridiengroup Recruitment Team

We think you need these skills to ace Data Scientist, ML & Data Hub β€” Hybrid Role

Data Science
Data Processing Pipelines
Machine Learning
Python
ML Libraries
Collaboration
Scalability