Senior Data Scientist / Chief Data Scientist – Bristol £90.000 – £120,000 plus shares and excellent benefits
My Client is a rapidly-growing underwriting agency combining world leaders in (re)insurance underwriting and artificial intelligence-based simulation modelling. The firm underwrites cyber reinsurance contracts and is building cyber insurance products that will be distributed globally. They are seeking technical staff senior technical leadership for a new office in Bristol, that will serve as the new global hub for its modelling and technology team.
They are seeking a talented Data scientist with a background in machine learning and in taking data science solutions through to production. The role will require interaction with clients and collaboration with a passionate team of data scientists, software engineers and underwriters, shaping data analytics solutions to meet client needs.
Insurance and cyber security experience are not required, but either would be looked upon favourably.
- Prototype, develop, and deploy complex analytics models
Acquire, process, and model large, complex datasets
Work in an internationally distributed team, with schedule flexibility
Deliver high quality technical outcomes while adhering to cost and schedule constraints
Continue technical and professional development to ensure their technology and its team remains on the cutting edge
Bachelor of Science or higher in engineering, science, or mathematics, with specializations related to computer science preferred
Minimum of 3 years relevant experience, including internships, part-time positions, and graduate level education
- Proficiency in Python and common data science packages such as SciKit-Learn, NumPy and Pandas
Experience in all portions of the data analytics pipeline, including ingest, cleaning, feature extraction, modelling, statistical validation, and visualization / reporting
Competence in software development practices including writing and verifying maintainable code, version control, cloud-based development, and performance profiling and tuning
- Expertise in one or more of: probabilistic modeling, natural language processing, , explainable AI, uncertainty analysis, time series analysis
Strong data visualization and data “storytelling” skills
Analytics experience in finance, insurance, or cyber security
Proficiency in other analytics technologies, such as R, SQL, CUDA, Hadoop, Spark, and Redshift
Experience with Dataiku’s Data Science Studio
How to apply for Senior Data Scientist
If you would like to take advantage of this fantastic opportunity, then please send your CV to email@example.com