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| Job Location | London |
| Education | Not Mentioned |
| Salary | Competitive salary |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
Role Responsibilities:Design predictive models for the platforms real-time behavioral pricing & risk engine.Create models to anticipate driving events and categorize driving behaviors.Spearhead and enhance MLOps capabilities.Skills & Qualifications:Must-Have:Proficiency in Python with experience in crafting production-grade ML services.Comprehensive grasp of ML core concepts and applied statistics.Familiarity with data science-related Python libraries: pandas, numpy, scikit-learn, PyTorch.Deep learning expertise.Proven track record of owning production models.Comfort with command-line operations.Nice-to-Have:Experience in geospatial and/or time-series challenges.Experience with autonomous vehicle or telematics data.Previous role in the insurance industry.Expertise in accident modeling or experience with imbalanced datasets.Familiarity with distributed computing tools: Dask, Ray, Spark.Knowledge of testing frameworks, e.g., pytest.Benefits & Perks:Competitive compensation.Flexible working arrangements; work-life balance is a priority.Generous and flexible vacation policy.Monthly Discretionary Budget: Receive a monthly allowance to spend as you choose, whether on healthcare or other personal needs.Commitment to Growth: Access to fully-funded personal development courses to encourage continuous learning and skill enhancement.A dynamic and cutting-edge technical environment to advance your skills.