• Lieu: England, London, City of London
  • Salaire: £70000 - £85000 per annum
  • Technologie: AWS Big Data Jobs
  • Type de contrat: Permanent
  • Date de publication: 5th Aug, 2019
  • Référence: 050819_1565021458
Lead Data Scientist | Central London | £85,000

The Business

My 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 decisions
* Ownership of the platform's context aware, real-time behavioural pricing engine
* Creation of models to predict driving events and classify driving behaviours
* Real-time anomaly detection models
* Optimisation of underwriting risk models
* A/B testing and validating hypotheses.

What skills will you need?

* Very strong Python skills
* Experience building production-grade ML services
* Excellent understanding of ML core theoretical concepts and applied statistics
* Expertise in data science related python libraries eg: pandas, scikit-learn, Keras,TensorFlow, XGBoost

* Experience in deploying models as APIs using python (eg Flask)
* Solid understanding of building asynchronous and multithreaded apps
* Experience working with RDBMSs via an ORM (eg SQLAlchemy)
* Comfort working on the Command line
* Deploying models in a CI pipeline

A great candidate would have experience with:

* Scala and functional programming techniques
* Apache Flink
* Kafka
* Dask
* NoSQL databases (like Cassandra or HBase)
* Modern data warehousing (Hive, Kylin or Presto)
* Familiarity in working with Docker/Kubernetes
* AWS 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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