Envelop Risk 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. Envelop is seeking technical staff for a new office in Bristol, that will serve as the new global hub for its modelling and technology team.
Envelop Risk offers a flexible, equal-opportunity workplace with an engaged and talented team delivering high-quality projects on the cutting edge of technology. Occasional international travel for client workshops and technical networking will be required.
Envelop’s Mission
To create the world’s leading cyber risk underwriting agency, we combine state of the art analytics with unrivalled underwriting and client insight. We select and transfer risk in the most informed and efficient manner possible and utilize a range of innovative distribution and capacity channels to facilitate the optimum value chain for cyber risk transfer.
Job Description
Envelop is 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 Envelop’s 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.
Responsibilities
- 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 Envelop’s technology and its team remains on the cutting edge
Required skills
- 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
Desired skills
- 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
Qualifications
- 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
Additional Information
This role is committed to ensuring that all of its employees are legally eligible to be employed in the United States and refrains from discriminating against individuals on the basis of national origin or citizenship. Within three (3) days of being hired, the candidate must submit a Form I-9 and utilizes E-Verify to confirm employment eligibility.
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