At a Glance
- Tasks: Enhance predictive models for vacuum asset failures using machine learning.
- Company: Join Atlas Copco Group, a leader in innovative engineering solutions.
- Benefits: Enjoy remote work, competitive benefits, and a supportive team culture.
- Other info: Collaborate with engineers and analysts in a dynamic, growth-oriented environment.
- Why this job: Make a real impact by improving customer anticipation from day one.
- Qualifications: 5+ years of data science experience and strong programming skills required.
The predicted salary is between 50000 - 70000 Β£ per year.
Atlas Copco Group is looking for an experienced Data Scientist to enhance predictive models for vacuum asset failures, aiding in customer anticipation from day one. This role involves partnership with engineers and analysts to create the highest quality machine-learning driven tools.
Candidates should have over 5 years of experience with a strong focus on data science methods and programming. Additionally, excellent communication skills and willingness for occasional travel to Burgess Hill are essential. The company offers a remote working environment with great benefits.
Remote Data Scientist β Day-1 ML Predictive Modeling employer: Atlas Copco Group
Atlas Copco Group is an exceptional employer that fosters a collaborative and innovative work culture, allowing Data Scientists to thrive in a remote environment while contributing to cutting-edge predictive modelling projects. With a strong emphasis on employee growth, the company provides ample opportunities for professional development and offers competitive benefits, making it an ideal place for those seeking meaningful and rewarding employment in the field of data science.