Lead Data Scientist


Premium Job From Nigel Frank International

Recruiter

Nigel Frank International

Listed on

5th August 2019

Location

City Of London

Salary/Rate

£70000 - £85000

Type

Permanent

Start Date

ASAP

This job has now expired please search on the home page to find live IT Jobs.

Lead Data Scientist | Central London | £85,000 The BusinessMy client is a London-based startup providing real-time analytics & insurance pricing.They focus primarily on ride-hailing, vehicle sharing and delivery services and are disrupting the commercial insurance industry by providing solutions that support the sharing economy. What kind of things will you be responsible for?As an early member of the company you will play a key role in building out and defining the company's data science capability: providing input from key technology choices to hiring decisionsOwnership of the platform's context aware, real-time behavioural pricing engineCreation of models to predict driving events and classify driving behavioursReal-time anomaly detection modelsOptimisation of underwriting risk modelsA/B testing and validating hypotheses. What skills will you need?Very strong Python skillsExperience building production-grade ML servicesExcellent understanding of ML core theoretical concepts and applied statisticsExpertise in data science related python libraries eg: pandas, scikit-learn, Keras,TensorFlow, XGBoostExperience in deploying models as APIs using python (eg Flask)Solid understanding of building asynchronous and multithreaded appsExperience working with RDBMSs via an ORM (eg SQLAlchemy)Comfort working on the Command lineDeploying models in a CI pipeline A great candidate would have experience with:Scala and functional programming techniquesApache FlinkKafkaDaskNoSQL databases (like Cassandra or HBase)Modern data warehousing (Hive, Kylin or Presto)Familiarity in working with Docker/KubernetesAWS frameworks (EC2, S3, EKS, EMR)Know how to interact programmatically with AWS services using libraries such as boto and chalice for serverless functions.

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