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Lead Data Scientist – Telematics & ML Systems

Acorn Group

Greater London

Hybrid

GBP 100,000 - 125,000

Full time

2 days ago
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Job summary

A leading insurance company in Greater London is seeking an experienced Lead Data Scientist to take ownership of delivering value from telematics data. This role involves technical leadership, design of analytical solutions, and mentoring junior staff. The successful candidate will utilize extensive experience in machine learning and significant Python coding ability to innovate and challenge the status quo within the industry. The position offers a hybrid working model, 35 days of holiday, and significant opportunities for growth.

Benefits

35 days’ holiday including bank holidays
24/7 mental health support
Career development opportunities
Flexible benefits
Hybrid working options
Recognition awards and social events

Qualifications

  • Experience of working with data streams or large time-series.
  • End to end experience of the machine learning pipeline, from data engineering to production.
  • Excellent python coding ability.
  • A creative approach to problem solving.
  • Technical leadership and mentoring of more junior staff.
  • Natural desire to act at pace and be innovative.

Responsibilities

  • Design, creation and execution of analytical solutions from telematics data.
  • Drive the technical analysis and development of scoring algorithms.
  • Technical leadership and mentoring.

Tools

Python
Databricks
Machine Learning
Job description
A leading insurance company in Greater London is seeking an experienced Lead Data Scientist to take ownership of delivering value from telematics data. This role involves technical leadership, design of analytical solutions, and mentoring junior staff. The successful candidate will utilize extensive experience in machine learning and significant Python coding ability to innovate and challenge the status quo within the industry. The position offers a hybrid working model, 35 days of holiday, and significant opportunities for growth.
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