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Staff Data Scientist

Data Idols
Posted 9 days ago, valid for 4 days
Location

London, Greater London SW1A2DX, England

Salary

£90,000 - £100,000 per annum

Contract type

Full Time

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Sonic Summary

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  • The position is for a Staff Data Scientist with a salary range of 90K to 100K.
  • The role is based in London with a hybrid work model.
  • Candidates should have experience in developing production-grade ML models, particularly in fraud and anomaly detection.
  • The company is a rapidly scaling tech disruptor focused on enhancing delivery quality and customer trust.
  • Interested applicants are encouraged to submit their CV for initial screening and further details.
Staff Data Scientist



Salary: 90K - 100K



Location: London - Hybrid



Overview:

Data Idols are working with a leading disruptor in the tech industry that is fundamentally reshaping how goods and services move in the online era. Backed by record-breaking investment and scaling faster than almost any other startup, they're building one of the most talented data and engineering teams in Europe.



The Opportunity:

You will join a high-impact team focused on improving delivery quality and trust. From lost parcels to fraudulent behaviours, you'll develop cutting-edge models and infrastructure to detect, prevent, and resolve issues before they scale, ensuring trust, efficiency, and world-class customer experience. Using Python, SQL, cloud-native infrastructure, and large-scale data processing tools, you'll develop production-grade ML models that power live decision-making.



What You'll Be Doing:

  • Designing and deploying production-grade ML models that drive live decision-making.
  • Applying computer vision
  • Building fraud and anomaly detection models using geospatial and behavioural signals.
  • Partnering with engineers to scale pipelines, compliance monitors, and detection systems.
  • Leading scientific direction and mentoring other data scientists to maximise impact.

If you are a Staff Data Scientist looking for a high-impact role where your expertise directly shapes a fast-scaling network, please submit your CV for initial screening and more details.



Staff Data Scientist

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